Alternatives to JupyterLab

Windsurf is a cutting-edge IDE designed for developers to maintain focus and productivity through AI-driven assistance. At the heart of the platform is Cascade, an intelligent agent that not only fixes bugs and errors but also anticipates potential issues before they arise. With built-in features for real-time code previews, automatic linting, and seamless integrations with popular tools like GitHub and Slack, Windsurf streamlines the development process. Developers can also benefit from memory tracking, which helps Cascade recall past work, and smart suggestions that enhance code optimization. Windsurf’s unique capabilities ensure that developers can work faster and smarter, reducing onboarding time and accelerating project delivery.

Utilize our complimentary, collaborative IDE that operates in your browser to write code in over 50 programming languages—no setup time required. Begin coding in your preferred language across any device, operating system, or platform. You can easily invite friends, team members, and colleagues to collaborate in real-time, similar to Google Docs editing. Seamlessly import, execute, and work together on countless GitHub repositories without any manual configurations. Whether you’re interested in Python, C++, HTML, or CSS, our platform allows you to learn and code in whatever language you choose, all in one place. The moment you create a new repl, it becomes live and shareable instantly with others around the globe. Join a community of over 3 million enthusiastic programmers, technologists, creatives, and learners eager to enhance their coding skills. Boost your team's efficiency with dynamic documentation, real-time collaboration features, and effortless remote interviewing options. Additionally, you can build applications programmatically, develop bots, and tailor the IDE with plugins to meet your specific requirements, ensuring a personalized coding experience. This all-in-one platform is designed to make coding more accessible and engaging for everyone.

Embarcadero Dev C++ is a new and improved fork sponsored by Embarcadero. It's a combination of Orwell Dev C++ and Bloodshed Dev C++. It is a fully-featured Integrated Development Environment, (IDE), and code editor for C/C++ programming languages. It uses Mingw port GCC (GNU Compiler Collection), as its compiler. Embarcadero DevC++ can be used with Cygwin and any other GCC-based compiler. Embarcadero DevC++ is built with the latest Embarcadero Delphi. Embarcadero DevC++ is native Windows and has a small memory footprint. It does not use Electron. Optimized to parallel compile on modern multi-core processors.

Visual LANSA is a low code development platform that IT professionals use to create enterprise web and mobile apps more quickly, easier, and for a lower price than traditional coding. Visual LANSA is trusted by thousands of customers around the world. It eliminates the need to learn multiple technical skills required to create software applications. Once an app has been developed, it can then be deployed to an IBM i or Windows server. One IDE, one language. Visual LANSA includes features such as access Controls/Permissions, code assistance, code refactoring, collaboration tools, compatibility testing, data modeling, debugging, deployment management, graphical user interface, mobile development, No-Code, Reporting/Analytics, software development, source control, and version control. Visual LANSA provides 24/7 live support as well as online support.

Easily switch between command and editor modes using just one keystroke while navigating through cells with arrow keys. Take advantage of all standard Jupyter shortcuts for a smoother experience. Experience fully interactive outputs positioned directly beneath the cell for enhanced visibility. When working within code cells, benefit from intelligent code suggestions, real-time error detection, quick-fix options, streamlined navigation, and many additional features. You can operate with local Jupyter notebooks or effortlessly connect to remote Jupyter, JupyterHub, or JupyterLab servers directly within the IDE. Execute Python scripts or any expressions interactively in a Python Console, observing outputs and variable states as they happen. Split your Python scripts into code cells using the #%% separator, allowing you to execute them one at a time like in a Jupyter notebook. Additionally, explore DataFrames and visual representations in situ through interactive controls, all while enjoying support for a wide range of popular Python scientific libraries, including Plotly, Bokeh, Altair, ipywidgets, and many others, for a comprehensive data analysis experience. This integration allows for a more efficient workflow and enhances productivity while coding.

At Posit, we strive to enhance data science by making it more open, user-friendly, accessible, and collaborative for everyone. Our suite of tools empowers individuals, teams, and enterprises to utilize advanced analytics to derive meaningful insights and create a significant impact. From our inception, we have committed to open-source software, such as RStudio IDE, Shiny, and tidyverse, because we firmly believe in democratizing access to data science tools. We offer R and Python-based solutions designed to streamline the analysis process, enabling you to achieve higher-quality results in less time. Our platform facilitates secure sharing of data-science applications across your organization, reinforcing the idea that our code belongs to you. You can build upon it, share it, and use it to enhance the lives of others. By simplifying the processes of uploading, storing, accessing, and distributing your work, we aim to make your experience seamless. We are always excited to learn about the incredible projects being developed using our tools globally, and we cherish the opportunity to share those inspiring stories with the community. Ultimately, our mission is to foster a vibrant ecosystem where data science can flourish for everyone involved.

QuantRocket is a Python-based platform for researching, backtesting, and trading quantitative strategies. Built on Docker, QuantRocket can be deployed locally or to the cloud and has an open architecture that is flexible and extensible. It provides a JupyterLab environment, offers a suite of data integrations, and supports multiple backtesters: Zipline, the open-source backtester that originally powered Quantopian; Alphalens, an alpha factor analysis library; Moonshot, a vectorized backtester based on pandas; and MoonshotML, a walk-forward machine learning backtester.

The Jupyter Notebook is a web-based open-source tool that enables users to create and distribute documents featuring live code, visualizations, equations, and written explanations. Its applications are diverse and encompass tasks such as data cleaning and transformation, statistical modeling, numerical simulations, data visualization, machine learning, among others, showcasing its versatility in various fields. Additionally, it serves as an excellent platform for collaboration and sharing insights within the data science community.

You can build and run powerful AI and engineering apps in just 5 minutes after downloading Flojoy Studio. No coding skills are required. Engineers use Flojoy Studio for streaming measurements from robotics and microcontrollers to Flojoy Cloud. Once in Flojoy Cloud this research data can then be analyzed, archived and downloaded by team members. Flojoy is a de facto resource for open source instrument control in Python. Flojoy's mission is to provide first-class Python support for every major motion platform, including robotic arms, steppermotors, servos and linear actuators.

A web-based notebook facilitates interactive data analytics and collaborative documentation using SQL, Scala, and other languages. With an IPython interpreter, it delivers a user experience similar to that of Jupyter Notebook. The latest version introduces several enhancements, including a dynamic form at the note level, a note revision comparison tool, and the option to execute paragraphs sequentially rather than simultaneously, as was the case in earlier versions. Additionally, an interpreter lifecycle manager ensures that idle interpreter processes are automatically terminated, freeing up resources when they are not actively being utilized. This improvement not only optimizes performance but also enhances the overall user experience.

Apache NetBeans is a dynamic, open-source Integrated Development Environment (IDE) that supports the development of applications in various programming languages, such as Java, JavaScript, PHP, HTML5, and C/C++. Renowned for its modular framework, NetBeans equips developers with a comprehensive suite of tools and features tailored for creating desktop, mobile, and web applications. It boasts advanced code editing, debugging, and profiling functionalities, as well as an integrated visual GUI builder for crafting user interfaces in Java. Additionally, NetBeans provides support for multiple version control systems like Git, SVN, and Mercurial, enhancing collaborative efforts among teams. As a project under the Apache Software Foundation, NetBeans is continually refined by a vibrant community dedicated to expanding its capabilities, ensuring it remains a dependable and adaptable option for developers in numerous fields. Furthermore, its extensive documentation and tutorials make it accessible for both novice and experienced programmers alike.

Uncover the necessary packages, complete with documentation and source materials easily accessible. You can create your own Julia packages, whether they are intended for public use or kept private. Transition effortlessly from working with small data subsets to managing extensive datasets in the cloud. Scale your operations to thousands of CPUs and GPUs with just a single click. Additionally, you can provide colleagues with dashboards that allow them to run code through a user-friendly GUI. For instance, Pfizer was able to conduct simulations of a novel heart failure treatment's pharmacology at a speed 175 times faster using Julia's GPU capabilities. Similarly, Aviva utilizes Julia to achieve Solvency II compliance, modeling risk at a rate 1,000 times faster while reducing the amount of code by 93%. Build applications using an intuitive browser-based IDE and enjoy seamless collaboration. JuliaHub, hosted in the cloud and billed by the minute, represents the easiest way to dive into the fastest language for scientific, mathematical, and statistical computations available today, ensuring you can harness its power with minimal hassle. With these tools and capabilities, you will be well-equipped to tackle complex challenges in your projects.

Our Cloud IDE streamlines your workflow by setting up a development environment within seconds, allowing you to effortlessly code, learn, build, and collaborate on various projects. With Codeanywhere's exceptional web-based code editor, you'll quickly forget any previous coding tools you’ve used. It fully supports all major programming languages, including JavaScript/TypeScript, PHP, Python, Ruby, Go, Java, C/C++, and C#, along with many others. Enjoy intelligent editing capabilities like auto-complete, code refactoring, symbol renaming, and the ability to jump to definitions, among various other features. You can debug your code effectively using breakpoints, call stacks, and an interactive console. The platform includes a fully functional Git client and is expandable with a wide range of existing extensions. Additionally, you can launch powerful containers in mere seconds, which can be completely preconfigured to suit your preferred programming environment. Develop and execute your code on our infrastructure while having full sudo access, and benefit from prebuilt development environments equipped with the necessary tools and databases already installed for all leading programming languages. This makes it easier than ever to start working on your project without any hassle.

WebSmart serves as an efficient development platform designed for the rapid creation of desktop and mobile web applications in RPG and PHP. Its responsive templates enable users to swiftly build contemporary applications and APIs, tailored to meet diverse business requirements through the robust integrated development environment (IDE) provided by WebSmart. These templates not only generate the foundational client and server-side code but also allow for extensive customization, empowering developers to craft various web applications. By utilizing responsive templates, one can develop web and mobile applications that operate from a unified code base, enhancing efficiency and consistency. Additionally, WebSmart's API templates facilitate the smooth integration of Db2 files and RPG programs with external web services, streamlining workflows. The PHP Edition specifically aids in creating open-source PHP applications that are compatible across multiple platforms, including IBM i, Windows, Linux, and Unix. Meanwhile, the ILE edition offers IBM i programmers the quickest route to developing new RPG web applications while making the most of their existing code. With its foundation in PHP, a widely recognized and reliable open-source language, WebSmart is specially designed for the creation of web applications, ensuring developers have the tools they need for success. Ultimately, WebSmart provides a powerful solution for efficient development, making it an invaluable resource for modern programming needs.

Datalore is a platform for collaborative data science and analytics that aims to improve the entire analytics workflow and make working with data more enjoyable for both data scientists as well as data-savvy business teams. Datalore is a collaborative platform that focuses on data teams workflow. It offers technical-savvy business users the opportunity to work with data teams using no-code and low-code, as well as the power of Jupyter Notebooks. Datalore allows business users to perform analytic self-service. They can work with data using SQL or no-code cells, create reports, and dive deep into data. It allows core data teams to focus on simpler tasks. Datalore allows data scientists and analysts to share their results with ML Engineers. You can share your code with ML Engineers on powerful CPUs and GPUs, and you can collaborate with your colleagues in real time.

Create your model in real-time as an interactive graph, enabling you to observe the data traversing through the visualized structure of your model. You can also modify the architecture at its most fundamental level. Graphbook offers complete transparency without hidden complexities, allowing you to see everything clearly. It performs live checks on data types and shapes, providing clear and comprehensible error messages that facilitate quick and efficient debugging. By eliminating the need to manage software dependencies and environmental setups, Graphbook enables you to concentrate on the architecture of your model and the flow of data while providing the essential computing resources. Cerbrec Graphbook serves as a visual integrated development environment (IDE) for AI modeling, simplifying what can often be a tedious development process into a more approachable experience. With an expanding community of machine learning practitioners and data scientists, Graphbook supports developers in fine-tuning language models like BERT and GPT, whether working with text or tabular data. Everything is seamlessly managed from the start, allowing you to visualize your model's behavior just as it will operate in practice, ensuring a smoother development journey. Additionally, the platform promotes collaboration by allowing users to share insights and techniques within the community.

JupyterHub allows users to establish a multi-user environment that can spawn, manage, and proxy several instances of the individual Jupyter notebook server. Developed by Project Jupyter, JupyterHub is designed to cater to numerous users simultaneously. This platform can provide notebook servers for a variety of purposes, including educational environments for students, corporate data science teams, collaborative scientific research, or groups utilizing high-performance computing resources. It is important to note that JupyterHub does not officially support Windows operating systems. While it might be possible to run JupyterHub on Windows by utilizing compatible Spawners and Authenticators, the default configurations are not designed for this platform. Furthermore, any bugs reported on Windows will not be addressed, and the testing framework does not operate on Windows systems. Although minor patches to resolve basic Windows compatibility issues may be considered, they are rare. For users on Windows, it is advisable to run JupyterHub within a Docker container or a Linux virtual machine to ensure optimal performance and compatibility. This approach not only enhances functionality but also simplifies the installation process for Windows users.

The leading open-source AI assistant. You can create custom autocomplete experiences and chats by connecting any models to any context. Remove the barriers that hinder productivity when developing software to remain in flow. Accelerate your development with a plug and play system that is easy to use and integrates into your entire stack. Set up your code assistant so that it can evolve with new capabilities. Continue autocompletes entire sections of code or single lines in any programming languages as you type. Ask questions about files, functions, the entire codebase and more by attaching code or context. Highlight code sections, then press the keyboard shortcut to convert code into natural language.

KDevelop is an open-source integrated development environment (IDE) that is both free to use and regularly updated. It offers a range of features for editing, navigation, and debugging across various programming languages while also seamlessly integrating with multiple build and version-control systems through its plugin architecture. The IDE includes parser backends for languages such as C, C++, and JavaScript/QML, with additional support for languages like PHP and Python through external plugins. Users can also download Windows installers from the binary-factory, although these versions lack translations and are primarily meant for testing. This latest release has been the result of six months of dedicated work, concentrating on enhancing stability, performance, and ensuring maintainability for the future. Numerous existing features have received minor enhancements, and a significant new feature has been introduced: the optional display of inline notes that highlight problems at the end of the line. With ongoing contributions from the community, KDevelop continues to evolve and improve, inviting users to participate in its growth.

Editor.do is a comprehensive online integrated development environment (IDE) and hosting service that enables users to rapidly create, code, host, and deploy impressive static websites within moments. Users can effortlessly upload their site files or a compressed zip archive containing their entire project to our NVMe SSD storage servers, which guarantees optimal loading speeds for their websites. The IDE supports an extensive range of more than 150 programming languages, featuring real-time code rendering alongside a suite of shortcuts and tools for searching, replacing, cutting, selecting, and efficiently managing your coding tasks. Editor.do also boasts an impressive library of over 1000 free and open-source templates that span various categories and libraries, all of which can be imported seamlessly from GitHub. Additionally, the platform integrates ChatGPT, providing users with on-demand assistance to refine, complete, or enhance their code and text. With its user-friendly interface and robust features, Editor.do serves as the perfect solution for developers and designers of all expertise levels aiming to craft visually appealing, high-speed, and secure websites in a fraction of the usual time. The platform is designed to elevate the web development experience, making it accessible and efficient for everyone involved.

The Kubeflow initiative aims to simplify the process of deploying machine learning workflows on Kubernetes, ensuring they are both portable and scalable. Rather than duplicating existing services, our focus is on offering an easy-to-use platform for implementing top-tier open-source ML systems across various infrastructures. Kubeflow is designed to operate seamlessly wherever Kubernetes is running. It features a specialized TensorFlow training job operator that facilitates the training of machine learning models, particularly excelling in managing distributed TensorFlow training tasks. Users can fine-tune the training controller to utilize either CPUs or GPUs, adapting it to different cluster configurations. In addition, Kubeflow provides functionalities to create and oversee interactive Jupyter notebooks, allowing for tailored deployments and resource allocation specific to data science tasks. You can test and refine your workflows locally before transitioning them to a cloud environment whenever you are prepared. This flexibility empowers data scientists to iterate efficiently, ensuring that their models are robust and ready for production.

Google Colab is a complimentary, cloud-based Jupyter Notebook platform that facilitates environments for machine learning, data analysis, and educational initiatives. It provides users with immediate access to powerful computational resources, including GPUs and TPUs, without the need for complex setup, making it particularly suitable for those engaged in data-heavy projects. Users can execute Python code in an interactive notebook format, collaborate seamlessly on various projects, and utilize a wide range of pre-built tools to enhance their experimentation and learning experience. Additionally, Colab has introduced a Data Science Agent that streamlines the analytical process by automating tasks from data comprehension to providing insights within a functional Colab notebook, although it is important to note that the agent may produce errors. This innovative feature further supports users in efficiently navigating the complexities of data science workflows.

Limnor Studio, launched in August 2003, stands as a trailblazer in the realm of general-purpose visual programming systems. Extensive years have been dedicated to advancing visual languages and technologies that eliminate the need for coding. In 2013, several innovative technologies were patented, further solidifying its position in the market. As an Integrated Development Environment (IDE) for swift software creation, users engage in a visual and codeless programming approach, which means that traditional text coding is unnecessary. The programming process involves constructing objects and linking events, with event-linking illustrated through the Event-Path visual language. Meanwhile, the development of functions utilizes a control-flow visual language. This programming methodology is consistently applied to both standalone applications and web development projects. In the latter, the distinction between client and server is effectively eliminated, allowing developers to create web applications similarly to how they would build standalone software. Remarkably, it is recognized as the first fully automated cloud computing system globally, setting a new standard in the industry. Additionally, Limnor Studio continues to evolve, adapting to new trends and user needs in software development.

Amazon SageMaker Studio serves as a comprehensive integrated development environment (IDE) that offers a unified web-based visual platform, equipping users with specialized tools essential for every phase of machine learning (ML) development, ranging from data preparation to the creation, training, and deployment of ML models, significantly enhancing the productivity of data science teams by as much as 10 times. Users can effortlessly upload datasets, initiate new notebooks, and engage in model training and tuning while easily navigating between different development stages to refine their experiments. Collaboration within organizations is facilitated, and the deployment of models into production can be accomplished seamlessly without leaving the interface of SageMaker Studio. This platform allows for the complete execution of the ML lifecycle, from handling unprocessed data to overseeing the deployment and monitoring of ML models, all accessible through a single, extensive set of tools presented in a web-based visual format. Users can swiftly transition between various steps in the ML process to optimize their models, while also having the ability to replay training experiments, adjust model features, and compare outcomes, ensuring a fluid workflow within SageMaker Studio for enhanced efficiency. In essence, SageMaker Studio not only streamlines the ML development process but also fosters an environment conducive to collaborative innovation and rigorous experimentation. Amazon SageMaker Unified Studio provides a seamless and integrated environment for data teams to manage AI and machine learning projects from start to finish. It combines the power of AWS’s analytics tools—like Amazon Athena, Redshift, and Glue—with machine learning workflows.

Code::Blocks is a free, open-source Integrated Development Environment (IDE) that is cross-platform and primarily aimed at developers working with C, C++, and Fortran. Renowned for its lightweight architecture and modular design, Code::Blocks provides a customizable user interface that supports various compilers such as GCC, Clang, and Microsoft Visual C++. The IDE is equipped with an easy-to-navigate interface that includes essential features like syntax highlighting, code folding, auto-completion, and a powerful debugging environment that allows for breakpoints, variable inspection, and tracing the call stack. Additionally, Code::Blocks is highly customizable through the use of plugins, which enable developers to integrate functionalities such as version control, scripting capabilities, and custom build systems. Its combination of being lightweight, flexible, and compatible across different platforms makes it an excellent option for students, educators, and developers engaged in small to medium-sized C/C++ projects. Overall, Code::Blocks serves as a versatile tool that caters to a wide range of programming needs.

CodeLite is a free and open-source Integrated Development Environment (IDE) that operates across various platforms and is primarily aimed at developers working with C, C++, PHP, and JavaScript. This IDE provides a lightweight and customizable workspace, accommodating multiple compilers such as GCC, Clang, and Microsoft Visual C++. It boasts a user-friendly code editor equipped with features like syntax highlighting, auto-completion, and code refactoring tools. In addition, CodeLite comes with a built-in debugger that supports GDB, allowing users to easily set breakpoints, examine variables, and follow call stacks during debugging sessions. Furthermore, it extends its capabilities to include support for Node.js and TypeScript, enhancing its utility for both desktop and web application development. The versatility and cross-platform functionality (available on Windows, macOS, and Linux) combined with its integration with popular version control systems such as Git and Subversion solidify CodeLite as a preferred choice for developers in search of a streamlined alternative to more demanding IDEs. By prioritizing efficiency and user adaptability, CodeLite has carved out a significant niche in the development community.

AWS Cloud9 serves as a cloud-oriented integrated development environment (IDE) that allows you to create, execute, and troubleshoot your coding projects directly from your web browser. It features a built-in code editor, a debugger, and a terminal for ease of use. This IDE is equipped with necessary tools for various popular programming languages such as JavaScript, Python, and PHP, eliminating the need for manual installation or configuration on your local development setup to launch new projects. Being cloud-based means that you can access your Cloud9 environment from anywhere—be it your workplace, home, or any location with internet access. Additionally, Cloud9 streamlines the development of serverless applications, allowing for the effortless definition of resources, debugging, and toggling between local and remote application execution. Moreover, it facilitates collaboration by enabling you to share your development workspace with colleagues, which enhances pair programming and allows for real-time tracking of each other's contributions. Overall, Cloud9 significantly improves productivity and collaboration among development teams.

Qt Creator's sophisticated code editor supports a variety of programming languages such as C++, QML, JavaScript, and Python. It boasts features like code completion, syntax highlighting, and refactoring, while providing easy access to built-in documentation. This powerful tool seamlessly integrates with popular version control systems, including Git, Subversion, Perforce, and Mercurial. With integrated visual editors, you can create C++ widget-based applications or dynamic UIs using Qt Quick, complete with pre-built controls. Whether you're importing an existing project or starting from scratch, Qt Creator takes care of generating all necessary files for you. It also includes support for CMake and facilitates cross-compiling with qmake. You can build and execute your software on various platforms, including desktop, mobile, and embedded operating systems. The build configurations are user-friendly, allowing you to easily switch between different targets. Furthermore, you can thoroughly test and debug your applications under conditions that closely mimic those of your intended devices, ensuring a smoother development process. This versatility makes Qt Creator an invaluable tool for developers seeking efficiency and ease of use in their projects.

Eclipse Dirigible™ is an application platform designed for high productivity, offering both development tools and a runtime environment. It facilitates the complete development lifecycle of applications by utilizing an in-system programming model alongside rapid application development methods. This platform encompasses the entire development process, including database management and modeling, the creation of RESTful services with various dynamic languages, and user interface generation based on established patterns, as well as role-based security, integration of external services, testing, debugging, operations, and monitoring. All source code and example applications from the Eclipse Dirigible project are available under the Eclipse Public License v 2.0 and can be found on GitHub. Students can utilize this platform to work on projects, explore different technologies and scenarios, and learn widely-used programming languages. With Eclipse Dirigible, you have all the essential tools and resources at your disposal for any development venture you embark upon. Its comprehensive features make it an ideal choice for both beginners and experienced developers alike.

No cost involved. Works across multiple platforms. Open-source software. A comprehensive development environment for creating applications. Develop native applications for Android, iOS, macOS, and Windows using just one codebase. You have the option to write your .NET applications in C#, F#, or Visual Basic. Your expertise, coding practices, and preferred libraries are applicable across all .NET environments. To discover more about the capabilities of .NET, check out these complimentary video resources. The open-source nature of .NET is greatly enhanced by the numerous contributions from the community, which we deeply appreciate. Additionally, this collaborative effort fosters innovation and continual improvement.

DataWorks, a comprehensive Big Data platform introduced by Alibaba Cloud, offers an all-in-one solution for Big Data development, management of data permissions, offline job scheduling, and more. The platform is designed to function seamlessly right from the start, eliminating the need for users to manage complex underlying clusters and operations. Users can effortlessly build workflows through a drag-and-drop interface, while also having the ability to edit and debug their code in real-time, inviting collaboration from fellow developers. The platform supports a wide range of functionalities, including data integration, MaxCompute SQL, MaxCompute MR, machine learning, and shell tasks. Additionally, it features robust task monitoring capabilities, providing alerts in case of errors to prevent service disruptions. With the ability to run millions of tasks simultaneously, DataWorks accommodates various scheduling options, including hourly, daily, weekly, and monthly tasks. As an exceptional platform for constructing big data warehouses, DataWorks delivers extensive data warehousing services, catering to all aspects of data aggregation, processing, governance, and services. Its user-friendly design and powerful features make it an indispensable tool for organizations looking to harness the power of Big Data effectively.

LabWindows/CVI is an integrated programming environment for ANSI C that facilitates the development of tailored engineering applications. It offers a unified tabbed workspace where you can efficiently manage projects, edit and debug your source code, create user interfaces, and evaluate code performance and output. In addition, it comes equipped with sophisticated debugging tools, documentation capabilities, and features for system deployment, allowing for seamless integration of source code control, requirements management, and data handling systems. The software simplifies data acquisition from various instruments such as GPIB, USB, serial, Ethernet, PXI, VXI, and FPGA through its comprehensive built-in instrument I/O libraries, drivers, and two interactive measurement assistants. Overall, LabWindows/CVI serves as a complete environment for ANSI C development, making it ideal for building test and measurement applications while enhancing productivity and efficiency. Additionally, its robust functionality supports engineers in optimizing their application workflows and achieving precise measurement results.

Create, execute, and oversee AI models while enhancing decision-making at scale across any cloud infrastructure. IBM Watson Studio enables you to implement AI seamlessly anywhere as part of the IBM Cloud Pak® for Data, which is the comprehensive data and AI platform from IBM. Collaborate across teams, streamline the management of the AI lifecycle, and hasten the realization of value with a versatile multicloud framework. You can automate the AI lifecycles using ModelOps pipelines and expedite data science development through AutoAI. Whether preparing or constructing models, you have the option to do so visually or programmatically. Deploying and operating models is made simple with one-click integration. Additionally, promote responsible AI governance by ensuring your models are fair and explainable to strengthen business strategies. Leverage open-source frameworks such as PyTorch, TensorFlow, and scikit-learn to enhance your projects. Consolidate development tools, including leading IDEs, Jupyter notebooks, JupyterLab, and command-line interfaces, along with programming languages like Python, R, and Scala. Through the automation of AI lifecycle management, IBM Watson Studio empowers you to build and scale AI solutions with an emphasis on trust and transparency, ultimately leading to improved organizational performance and innovation.

Bayesforge™ is a specialized Linux machine image designed to assemble top-tier open source applications tailored for data scientists in need of sophisticated analytical tools, as well as for professionals in quantum computing and computational mathematics who wish to engage with key quantum computing frameworks. This image integrates well-known machine learning libraries like PyTorch and TensorFlow alongside open source tools from D-Wave, Rigetti, and platforms like IBM Quantum Experience and Google’s innovative quantum language Cirq, in addition to other leading quantum computing frameworks. For example, it features our quantum fog modeling framework and the versatile quantum compiler Qubiter, which supports cross-compilation across all significant architectures. Users can conveniently access all software through the Jupyter WebUI, which features a modular design that enables coding in Python, R, and Octave, enhancing flexibility in project development. Moreover, this comprehensive environment empowers researchers and developers to seamlessly blend classical and quantum computing techniques in their workflows.

Manage, store, and collaborate on multi-omic datasets effectively. The Illumina Connected Analytics platform serves as a secure environment for genomic data, facilitating the operationalization of informatics and the extraction of scientific insights. Users can effortlessly import, construct, and modify workflows utilizing tools such as CWL and Nextflow. The platform also incorporates DRAGEN bioinformatics pipelines for enhanced data processing. Securely organize your data within a protected workspace, enabling global sharing that adheres to compliance standards. Retain your data within your own cloud infrastructure while leveraging our robust platform. Utilize a versatile analysis environment, featuring JupyterLab Notebooks, to visualize and interpret your data. Aggregate, query, and analyze both sample and population data through a scalable data warehouse, which can adapt to your growing needs. Enhance your analysis operations by constructing, validating, automating, and deploying informatics pipelines with ease. This efficiency can significantly decrease the time needed for genomic data analysis, which is vital when rapid results are essential. Furthermore, the platform supports comprehensive profiling to uncover novel drug targets and identify biomarkers for drug response. Lastly, seamlessly integrate data from Illumina sequencing systems for a streamlined workflow experience.

Hopsworks is a comprehensive open-source platform designed to facilitate the creation and management of scalable Machine Learning (ML) pipelines, featuring the industry's pioneering Feature Store for ML. Users can effortlessly transition from data analysis and model creation in Python, utilizing Jupyter notebooks and conda, to executing robust, production-ready ML pipelines without needing to acquire knowledge about managing a Kubernetes cluster. The platform is capable of ingesting data from a variety of sources, whether they reside in the cloud, on-premise, within IoT networks, or stem from your Industry 4.0 initiatives. You have the flexibility to deploy Hopsworks either on your own infrastructure or via your chosen cloud provider, ensuring a consistent user experience regardless of the deployment environment, be it in the cloud or a highly secure air-gapped setup. Moreover, Hopsworks allows you to customize alerts for various events triggered throughout the ingestion process, enhancing your workflow efficiency. This makes it an ideal choice for teams looking to streamline their ML operations while maintaining control over their data environments.

Wing Python IDE is meticulously crafted specifically for Python, enhancing your overall productivity in development. With Wing, you can focus on writing less code while it manages the intricate details for you. Experience instant feedback as you interactively write your Python code within the live runtime environment, making coding smoother and more efficient. It allows for effortless navigation through your code and its documentation. Wing's comprehensive Python code analysis helps you circumvent common pitfalls and identify issues early on, ensuring a streamlined coding process. Maintain a tidy codebase with intelligent refactoring options and thorough code quality checks. You can debug any Python code seamlessly, examining debug data and experimenting with fixes interactively without the need to restart your application. Whether you are working locally or on a remote server, virtual machine, or container, Wing adapts to your needs. With over 21 years of expertise in creating Python IDEs, Wingware provides a uniquely Pythonic development environment. Built entirely in Python, Wing is not only designed for Python but is also extendable with Python, empowering you to enhance your productivity further. This seamless integration of features and tools makes Wing an invaluable asset for developers seeking an efficient Python coding experience.

This desktop application integrates Jupyter Notebook and Python, allowing for a seamless one-click installation. It features engaging code snippets alongside an AI assistant that enhances coding efficiency, making it an ideal tool for data science endeavors. We have meticulously developed over 100 interactive code recipes tailored for your Data Science projects, which can identify available packages within your current environment. With a single click, you can install any required modules, streamlining your workflow significantly. Users can easily create and manipulate all variables present in their Python session, while these interactive recipes expedite the completion of tasks. The AI Assistant, equipped with knowledge of your active Python session, variables, and modules, is designed to address data challenges using the Python programming language. It offers support for various tasks, including plotting, data loading, data wrangling, and machine learning. If you encounter code issues, simply click the Fix button, and the AI assistant will analyze the problem and suggest a viable solution, making your coding experience smoother and more productive. Additionally, this innovative tool not only simplifies coding but also enhances your learning curve in data science.

Eclipse Theia allows you to create multi-language Cloud & Desktop IDEs using state-of-the art web technologies. Are you unsure whether you need a desktop or web version? Theia allows you to create one IDE and have it run in browsers or native desktop applications from a single source. The Eclipse Foundation hosts the Theia project. It is a non-profit corporation and is developed by a diverse group. Projects hosted at an Open-Source Foundation, unlike other open-source projects, are protected from single-vendor decisions that would be detrimental to the interests of the diverse community. Theia is modularly designed to allow users and extenders to customize and extend every aspect of the system. It is easy to create a custom IDE-like product by simply listing all required extensions in a package.json. It is simple to add new functionality by implementing your extensions. This gives you all the flexibility that you need.

IDLE serves as Python's Integrated Development and Learning Environment, providing a user-friendly platform for developers and learners alike. It boasts several notable features: - Entirely crafted in pure Python and leverages the tkinter GUI toolkit for its interface. - Offers cross-platform compatibility, ensuring a consistent experience across Windows, Unix, and macOS operating systems. - Includes a Python shell window that functions as an interactive interpreter, complete with color coding for code input, output, and error notifications. - Features a multi-window text editor equipped with advanced functionalities such as multiple undo options, syntax highlighting for Python, smart indentation, call tips, auto-completion, and additional tools to enhance coding efficiency. - Allows users to perform searches within any window, replace text directly in editor windows, and conduct searches across multiple files with a grep-like capability. - Comes with a debugger that offers persistent breakpoints, step-through functionality, and the ability to inspect both global and local namespaces. - Provides configuration options, browsers, and various other dialog boxes to customize the user experience further. All these features combine to make IDLE an invaluable tool for anyone looking to develop in Python.

Enhance your app development process with Lightly, a versatile multilingual cloud IDE that allows you to produce high-quality code effortlessly using AI-assisted coding and real-time collaboration tools. This robust platform supports various programming languages, such as Java, Python, C++, HTML, and JavaScript, enabling you to write, execute, and troubleshoot code conveniently from your iPad at any location. With its AI-generated code capabilities, you can swiftly create code snippets, while the collaborative features facilitate seamless teamwork, allowing multiple users to work together on projects in real-time. Additionally, Lightly simplifies deployment and hosting by managing the infrastructure for you, with project images available to streamline deployment across AWS, Azure, GCP, or any other cloud service provider. By allowing you to concentrate on your creative ideas, Lightly's AI programming assistant takes care of the technical details, enhancing your productivity and effectiveness in developing applications. In this way, you can focus more on innovation while relying on advanced technology to support your development efforts.

MatDeck is a universal technical software that can be used for mathematics, science, engineering, chemistry, programming, databases, and many other purposes. Our software includes a complete Python IDE, thousands of mathematical functions, a drag-and-drop GUI Designer, and many visualization tools. All this is embedded in a cutting-edge, live document that provides a professional computing environment at a low cost.

The xAI PromptIDE serves as a comprehensive environment for both prompt engineering and research into interpretability. This tool enhances the process of prompt creation by providing a software development kit (SDK) that supports the implementation of intricate prompting strategies along with detailed analytics that illustrate the outputs generated by the network. We utilize this tool extensively in our ongoing enhancement of Grok. PromptIDE was created to ensure that engineers and researchers in the community have transparent access to Grok-1, the foundational model behind Grok. The IDE is specifically designed to empower users, enabling them to thoroughly investigate the functionalities of our large language models (LLMs) efficiently. Central to the IDE is a Python code editor that, when paired with the innovative SDK, facilitates the use of advanced prompting techniques. While users execute prompts within the IDE, they are presented with valuable analytics, including accurate tokenization, sampling probabilities, alternative tokens, and consolidated attention masks. In addition to its core functionalities, the IDE incorporates several user-friendly features, including an automatic prompt-saving capability that ensures that all work is preserved without manual input. This streamlining of the user experience further enhances productivity and encourages experimentation.

RadSystems serves as a powerful integrated development environment and Low-code platform that streamlines the application development process by minimizing repetitive coding efforts. It allows developers to create applications using a variety of frameworks, including ASP.NET Core, Python Flask, PHP Laravel, Node Express.js, Vue.js, and the Quasar Framework. Additionally, traditional web applications can be developed utilizing tools like Bootstrap, jQuery, and Laravel. This versatile platform, RadSystems Studio, is designed to enhance productivity by drastically reducing the time spent on redundant coding. Thanks to its advanced engine algorithm, users can generate applications in multiple programming languages from a unified code base. Moreover, you can effortlessly publish your projects as Classic Applications, Single Page Applications, Progressive Web Applications, or Mobile Applications with just a single click, enabling a seamless deployment experience. This efficiency makes RadSystems an invaluable tool for developers looking to accelerate their workflow and innovate rapidly.

The µVision Integrated Development Environment (IDE) brings together various functionalities such as project management, run-time environment, build tools, source code editing, and program debugging into one robust platform. User-friendly and efficient, µVision enhances the speed of embedded software development processes. It also accommodates multiple screens, enabling users to customize their workspace with unique window layouts across the interface. The µVision Debugger offers a comprehensive setting where you can test, validate, and fine-tune your application code effectively. It features an array of traditional debugging tools, including both simple and complex breakpoints, watch windows, and control over execution, ensuring complete access to device peripherals. By leveraging the µVision Project Manager and Run-Time Environment, developers can construct software applications using pre-assembled software components and device support sourced from Software Packs. These software components encompass libraries, source modules, configuration files, templates for source code, and thorough documentation, providing a well-rounded foundation for development. This holistic approach not only streamlines the development process but also significantly reduces the time taken to bring projects to completion.

CodeSnack is an innovative mobile integrated development environment (IDE) specifically designed for Android smartphones and tablets. It offers a suite of quick and user-friendly tools that empower anyone to develop impressive applications, learn coding through practical examples, and launch both back-end and front-end projects in just a matter of minutes, all at no cost. You can dive right in within seconds, and there's no requirement to be an expert coder or possess extensive server management skills to navigate its features effectively. With CodeSnack IDE, you gain complete control and adaptability, allowing you to customize your development experience without any compromises. Work with any programming language you choose, utilize your preferred hardware keyboard and shortcuts, and effortlessly sync your projects across all of your devices for a seamless coding journey. This makes CodeSnack not just a tool, but an essential companion for aspiring developers.

Eclipse IDE stands as the premier open platform tailored for professional developers engaged in computer programming, and it has never been better. This IDE provides essential tools to drive rapid innovation with a simplified configuration process, including the Eclipse IDE Installer 2020-09, which now incorporates a Java Runtime Environment (JRE) in several of its packages. The enhancements also extend to theming and styling, featuring an improved dark theme for Windows and a refined light theme for GTK. Additionally, Eclipse IDE has transitioned to require Java 11 as its minimum operating version while maintaining the ability to compile older versions as desired. Among its new experimental features is support for aarch64, along with robust Linux support that has been integrated into this version. Furthermore, Node.js is now embedded within all LSP-based tools, facilitating seamless functionality from the start. Eclipse IDE remains free and open source, distributed under the Eclipse Public License 2.0, underscoring its commitment to community-driven development. The platform thrives on an extensive ecosystem of plugins, bolstered by an active and engaged community of contributors. This collaborative environment ensures that Eclipse IDE continues to evolve and meet the diverse needs of developers worldwide.

StackBlitz has developed WebContainers, a browser-based runtime that allows Node.js applications and operating system commands to run directly within a web browser tab. This innovative technology empowers developers to create immediate and engaging coding experiences, ranging from tutorials to comprehensive integrated development environments, all without requiring local installations or cloud-based virtual machines. Operating entirely on the client side, WebContainers provide exceptional user experiences characterized by zero latency, offline functionality, and increased security, as they remove the risks associated with executing code on servers. They support native Node.js toolchains, such as npm, pnpm, and yarn, and are compatible with leading modern frameworks. Furthermore, WebContainers offer seamless support for running WebAssembly (Wasm) right out of the box, enabling the adaptation of various programming languages and frameworks to operate within the browser environment. With these capabilities, developers can leverage the full potential of web technologies while maintaining flexibility and performance.

Bokeh simplifies the creation of standard visualizations while also accommodating unique or specialized scenarios. It allows users to publish plots, dashboards, and applications seamlessly on web pages or within Jupyter notebooks. The Python ecosystem boasts a remarkable collection of robust analytical libraries such as NumPy, Scipy, Pandas, Dask, Scikit-Learn, and OpenCV. With its extensive selection of widgets, plotting tools, and user interface events that can initiate genuine Python callbacks, the Bokeh server serves as a vital link, enabling the integration of these libraries into dynamic, interactive visualizations accessible via the browser. Additionally, Microscopium, a project supported by researchers at Monash University, empowers scientists to uncover new functions of genes or drugs through the exploration of extensive image datasets facilitated by Bokeh’s interactive capabilities. Another useful tool, Panel, which is developed by Anaconda, enhances data presentation by leveraging the Bokeh server. It streamlines the creation of custom interactive web applications and dashboards by linking user-defined widgets to a variety of elements, including plots, images, tables, and textual information, thus broadening the scope of data interaction possibilities. This combination of tools fosters a rich environment for data analysis and visualization, making it easier for researchers and developers to share their insights.

Nooku is an easy-to-use platform and desktop application for designers or developers with less technical skills. It enables users to create web apps quickly. Nooku is similar in many ways to VS Code, but it is designed specifically for non-coders and those with little or no coding experience. Nooku's workflow builder allows users to not only design their applications but also add logic. Nooku is a simple, yet effective system. Nooku is unlike other tools that do not require any code to operate. It works directly on your computer. Nooku interacts directly and directly with your files. While most no-code platforms render your app data into an interface in JSON format, nooku works directly with the files. Every time you create, edit, or open a new page (component, etc.), Nooku reads the file directly from your filesystem. Nooku reads the file directly from the filesystem. It then generates a Abstract Syntax Tree for that file, and renders this AST in the Nooku Editor.