Alternatives to JupyterLab

Codeium is the modern code superpower. It's a free AI-powered code acceleration toolkit. Codeium currently provides AI-generated autocomplete in more than 20 programming languages (including Python and JS, Java, TS, Java and Go) and integrates directly to the developer's IDE (VSCode, JetBrains or Jupyter notebooks. Colab, Vim / Neoovim, etc. Codeium generates multiline code suggestions in a matter of seconds. This will eliminate the need to search for APIs and documentation, write boilerplate and unit test scripts, and many other tedious or frustrating tasks. Codeium is a training platform that allows you to quickly develop on billions of lines. It also helps you stay in the flow and lets you become the best coder you can be.

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.

One source of truth for R packages and Python packages RStudio is the preferred professional data science solution for every group. A Python and R integrated development environment with syntax-highlighting editor, console, and code execution. It also includes tools for workspace management, history, plotting, and plotting. You can publish and distribute data products throughout your organization. One-button deployment of Shiny applications and R Markdown reports, Jupyter Notebooks, etc. To increase reproducibility and reduce the time spent installing and troubleshooting R packages, you can control, organize, and manage your use of them. RStudio is committed to sustainable investment in open-source and free software for data science. RStudio has been certified as a B Corporation. This means that our open-source mission has been codified in our charter. Our professional software products are enterprise-ready and provide a modular platform that allows teams to adopt open-source data sciences at scale.

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.

Open-source web application, the Jupyter Notebook, allows you to create and share documents with live code, equations, and visualizations. Data cleaning and transformation, numerical modeling, statistical modeling and data visualization are just a few of the many uses.

With a single keystroke, switch between editor and command modes. Use the arrow keys to navigate between cells. All the Jupyter shortcuts are available. Fully interactive outputs are available right under the cell. Editing code cells is easy with smart code completion, quick error checking and quick fixes, and easy navigation. You can connect to remote JupyterHub or JupyterLab servers from the IDE. Interactively run Python scripts and arbitrary expressions in a Python Console. You can see the outputs and the state variables in real time. Split Python scripts into code cells using the #%% separator, and run them individually in a Jupyter notebook. Interactive controls allow you to browse DataFrames or visualizations in real time. All popular Python scientific libraries, including Plotly and Altair, ipywidgets and others, are supported.

Web-based notebook that allows data-driven, interactive data analysis and collaborative documents with SQL and Scala. The IPython interpreter offers a similar user experience to Jupyter Notebook. This release features Note level dynamic form, note comparison comparator, and the ability to run paragraph sequentially instead of simultaneous execution in previous releases. Interpreter lifecycle manager automatically terminates interpreter process upon idle timeout. So resources are released when not in use.

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.

You can find the packages you need with documentation and source right at hand. You can create your own Julia packages, either public or privately. You can seamlessly transition from small subsets of data to large datasets in the cloud. With a single click, scale to thousands of GPUs and CPUs. Colleagues can be provided with dashboards for running code via a GUI. Pfizer performed simulations of a novel pharmacology for a treatment of heart failure 175x faster with GPUs in Julia. Aviva uses Julia to model Solvency II compliance risk 1,000x faster using 93% less code. A browser-based IDE allows you to create applications. Collaboration is easy. JuliaHub, which is hosted on the cloud and charged per minute, is the easiest way to get started and offers the most powerful scientific, mathematical, and statistical computation language.

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.

WebSmart is a tool that allows you to quickly develop RPG and PHP desktop and mobile web applications. WebSmart's powerful IDE allows you to quickly create responsive templates and APIs. Templates can be used to generate the initial client-side and server-side codes that you can modify to create any type or web application. You can create mobile and web applications using the same code base with responsive templates. WebSmart's API templates make it easy to integrate Db2 files or RPG programs with other web services. The PHP Edition allows you to create open-source PHP applications that can run on multiple platforms (IBM i/Windows, Linux, Linux or Unix). The ILE Edition is the fastest way for IBM i programmers create new RPG web apps that leverage existing code. PHP is an open-source language that has been proven to be popular and effective for creating web applications.

Apache NetBeans (also known as Apache IDE) is a powerful, open-source Integrated Development Environment that can be used to develop applications in a variety of programming languages including Java, JavaScript PHP, HTML5, C/C++, and more. NetBeans is known for its modular architecture and offers robust tools and features to developers who work on desktop, web, and mobile applications. It has intelligent code editing, profiling, debugging and profiling features, as well as a visual GUI builder to design Java-based user interfaces. NetBeans offers support for versioning systems such as Git, SVN and Mercurial to facilitate seamless team collaboration. NetBeans is an Apache Software Foundation Project, which benefits from a community that constantly improves and expands the functionality of NetBeans. This makes it a reliable, flexible and reliable choice for developers in various domains.

Construct your model as a live interactive graph. View data flowing through the architecture of your visualized model. View and edit the model architecture at the atomic level. Graphbook offers X-ray transparency without black boxes. Graphbook checks data type and form in real-time, with clear error messages. This makes model debugging easy. Graphbook abstracts out software dependencies and configuration of the environment, allowing you to focus on your model architecture and data flows with the computing resources required. Cerbrec Graphbook transforms cumbersome AI modeling into a user friendly experience. Graphbook, which is backed by a growing community that includes machine learning engineers and data science experts, helps developers fine-tune their language models like BERT and GPT using text and tabular data. Everything is managed out of box, so you can preview how your model will behave.

Cloud IDE is quick and easy to deploy a development environment. This allows you to code, learn, develop, and collaborate on projects. Our web-based Codeanywhere code editor will make you forget that you ever used another code editor. All major programming languages fully supported, including JavaScript/TypeScript, PHP, Python, Ruby, Go, Java, C/C++, C# any many other. Intelligent editing features include auto-complete, code definition, code refactor and rename symbol. You can debug code using break points, call stacks, and an interactive console. Git client with all the features. Expandable with a large number of extensions. In seconds, you can also create powerful containers that can be configured for your programming environment. You can run your code on our infrastructure, with full sudo access. Prebuilt development environments that support all major programming languages.

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.

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.

Editor.do allows you to build, code, host, and deploy fast static websites. You can easily deploy all of your project files, or your site files, to our NVMe storage servers. This will ensure the fastest loading speed possible for your website. Our IDE supports more than 150 programming languages. It has a panel of shortcuts, tools, and real-time code rendering. You can search, replace, select, cut, and quickly manipulate code. Editor.do provides over 1000 open-source templates that are free to use and can be imported from GitHub. ChatGPT, which is integrated, is always available to help you complete, correct, or improve the code or text. Editor.do offers a platform that is ideal for designers and developers of all levels of expertise who want to create beautiful, fast and secure websites within a fraction of time.

JupyterHub allows you to create a multi-user hub that spawns, manages and proxies multiple instances the single-user Jupyter notebook servers. JupyterHub was created by Project Jupyter to support many users. The Hub can offer notebook server to a class, a corporate data science group, or a high-performance computing group. JupyterHub does not officially support Windows. JupyterHub may work on Windows if you have a Spawner or Authenticator that works on Windows. However, the default JupyterHub will not. Bugs that are reported on Windows will not get accepted and the test suite won't run on Windows. However, small patches that address minor Windows compatibility issues (such basic installation) may be accepted. We recommend that JupyterHub be run in a Linux VM or docker container for Windows-based systems.

Kubeflow is a project that makes machine learning (ML), workflows on Kubernetes portable, scalable, and easy to deploy. Our goal is not create new services, but to make it easy to deploy the best-of-breed open source systems for ML to different infrastructures. Kubeflow can be run anywhere Kubernetes is running. Kubeflow offers a custom TensorFlow job operator that can be used to train your ML model. Kubeflow's job manager can handle distributed TensorFlow training jobs. You can configure the training controller to use GPUs or CPUs, and to adapt to different cluster sizes. Kubeflow provides services to create and manage interactive Jupyter Notebooks. You can adjust your notebook deployment and compute resources to meet your data science requirements. You can experiment with your workflows locally and then move them to the cloud when you are ready.

KDevelop (Free and Open Source) is an integrated development environment (IDE) that is free and open-source. It supports editing, navigation, and debugging for multiple programming languages. It also integrates with multiple build systems and version control systems using a plugin-based architecture. KDevelop supports Javascript/QML, C++, and C++ parsers, as well as external plugins. PHP or Python. KDevelop Windows installers can also be downloaded from the binary-factory. These versions do not contain translations and are only for testing purposes. Get involved and help make them better. This release is the result of half a year's work. It focuses mainly on stability and performance as well as future maintenanceability. Many of the existing features have been improved, and one feature that is highly visible is the optional display of inline notes to help with problems at the end.

Limnor Studio, a pioneer in generic-purpose visual programming systems, was released in August 2003. Many years of effort have been dedicated to the development of visual languages and codeless technologies. In 2013, some new technologies were patented. Limnor Studio is an IDE that allows rapid software development. The software is developed in a visual and codeless programming style. Text coding is not required. Programming can be done through object construction and event linking. Event-linking can be seen in Event-Path visual languages. Function development is done using control-flow visual language. The same programming approach is used in web and standalone software development. Web development removes the client server boundary. Web development is performed as though it were a standalone application. It is the first fully automated cloud computing platform in the world.

Amazon SageMaker Studio (IDE) is an integrated development environment that allows you to access purpose-built tools to execute all steps of machine learning (ML). This includes preparing data, building, training and deploying your models. It can improve data science team productivity up to 10x. Quickly upload data, create notebooks, tune models, adjust experiments, collaborate within your organization, and then deploy models to production without leaving SageMaker Studio. All ML development tasks can be performed in one web-based interface, including preparing raw data and monitoring ML models. You can quickly move between the various stages of the ML development lifecycle to fine-tune models. SageMaker Studio allows you to replay training experiments, tune model features, and other inputs, and then compare the results.

The advanced code editor in Qt Creator lets you code in C++ and QML, JavaScript, Python, and other languages. It supports syntax highlighting, code completion, refactoring, and has built-in documentation. Qt Creator can integrate with most popular version control systems such as Git, Subversion, Perforce, Mercurial, and Mercurial. Visual editors integrated for building C++ widget-based apps or fluid Qt Quick-based animated interfaces with readymade controls. Qt Creator allows you to import existing projects or create new ones. Cross-compiling with Qmake and support for Cmake are included. You can build and run your software on desktop and mobile operating systems. You can easily switch between targets using the build settings. You can test and debug applications under conditions that are virtually identical to those on the target device.

Our free, collaborative, in browser IDE allows you to code in 50+ languages without having to spend a second setting up. You can start coding in your favorite language, on any platform, OS, or device. Google-docs allows you to invite your friends, colleagues, and coworkers into your code. You can import, run, and collaborate in millions of GitHub repos without any manual setup. You can learn any language, from Python to C++ to HTML and CSS. Once you create a repl, it is instantly available and can be shared with the rest of the world. Learn from 3 million+ passionate programmers and technologists, creatives, learners, and all levels of coders. Interactive docs, real time collaboration and zero-hassle remote interviewing will make your team more productive. You can program apps, create bots, and customize the IDE with plugins.

AWS Cloud9 allows you to write, run, and debug code using a web browser. It comes with a code editor, terminal, and debugger. Cloud9 comes pre-installed with the essential tools for popular programming languages like JavaScript, Python and PHP. This means that you don't have to install files or configure your development computer to start new projects. Cloud9 IDE can be used from anywhere, including your home, office, or anywhere with an internet connection. Cloud9 provides a seamless experience to develop serverless applications. It allows you to define resources, debug and switch between local or remote execution. Cloud9 allows you to quickly share your development environment and allow you to track each other's inputs.

Project IDX is a new experimental initiative that aims to bring your entire multiplatform, full-stack app development workflow into the cloud. Project IDX begins with a web workspace that will feel familiar to coders but new. We're only at the beginning of our journey. We would love to hear your feedback as we work on improving application development. Project IDX will get you up and running quickly, with the security and scalability that Google Cloud offers. Open your browser and develop an application in seconds, not weeks, on any device. Project IDX allows you to build an app that is compatible with multiple platforms. It offers templates for popular frameworks such as Angular.js, Next.js React, Svelte and Flutter. Python and Go will be supported soon. You can import your existing apps from GitHub. Support is available for most tech stacks.

Eclipse Dirigible™, a high-productivity platform for application development, provides runtime environments and tools. It supports the entire development lifecycle of applications through the use of an in-system programming model, and rapid application development techniques. Eclipse Dirigible supports the entire development process, from database modeling and management to RESTful service authoring using various dynamic language patterns to pattern-based user interface generation, security, external services integration, testing and monitoring. Eclipse Public License v 2.0 covers all source code and samples for the Eclipse Dirigible project. They are maintained at GitHub. You can create student projects, test different technologies, and learn popular programming languages. Eclipse Dirigible offers everything you need to develop your project.

Free. Cross-platform. Open source. Open source platform for developing all your apps. You can create native apps for Android and iOS from one code base. Your.NET apps can be written in C# or F#, as well as Visual Basic. You can use your skills, code, favorite libraries, and code wherever you use.NET. These videos will show you more about.NET. .NET is open-source and we are grateful for all the contributions from the community.

Alibaba Cloud launched DataWorks, a Big Data platform product. It offers Big Data development, data permission management and offline job scheduling. DataWorks is easy to use and does not require any special cluster setup or management. To create a workflow, drag and drop nodes. Online editing and debugging of code is possible. You can also ask other developers to join your project. Data integration, MaxCompute SQL and MaxCompute MS, machine learning, shell tasks, and MaxCompute MR are supported. To prevent service interruptions, task monitoring is supported. It sends alarms when errors are detected. It can run millions of tasks simultaneously and supports hourly, daily and weekly schedules. DataWorks is the best platform to build big data warehouses. It also offers comprehensive data warehousing and support services. DataWorks offers a complete solution for data aggregation and processing, as well as data governance and data services.

LabWindows/CVI ANSI C integrates programming environments to help you create custom engineering apps. It allows you to manage your project, debug and edit source code, create a user interface and test code output and performance all in one tabbed workspace. LabWindows/CVI provides advanced debugging tools, code documentation, system deployment, and code documentation. This allows you to integrate source code control, requirements, data management systems, and code control. It also makes it easy to quickly acquire data from GPIB and USB, serial, Ethernet PXI, VXI and FPGA instruments using built-in I/O libraries, instrument drivers or the two interactive measuring assistants. LabWindows/CVI is an integrated environment that allows you to develop test and measurement applications.

You can build, run, and manage AI models and optimize decisions across any cloud. IBM Watson Studio allows you to deploy AI anywhere with IBM Cloud Pak®, the IBM data and AI platform. Open, flexible, multicloud architecture allows you to unite teams, simplify the AI lifecycle management, and accelerate time-to-value. ModelOps pipelines automate the AI lifecycle. AutoAI accelerates data science development. AutoAI allows you to create and programmatically build models. One-click integration allows you to deploy and run models. Promoting AI governance through fair and explicable AI. Optimizing decisions can improve business results. Open source frameworks such as PyTorch and TensorFlow can be used, as well as scikit-learn. You can combine the development tools, including popular IDEs and Jupyter notebooks. JupterLab and CLIs. This includes languages like Python, R, and Scala. IBM Watson Studio automates the management of the AI lifecycle to help you build and scale AI with trust.

Bayesforge™ is a Linux image that curates all the best open source software available for data scientists who need advanced analytical tools as well as quantum computing and computational math practitioners who want to work with QC frameworks. The image combines open source software such as D-Wave and Rigetti, IBM Quantum Experience, Google's new quantum computer language Cirq and other advanced QC Frameworks. Qubiter, our quantum compiler and fog modeling framework can be cross-compiled to all major architectures. The Jupyter WebUI makes all software accessible. Its modular architecture allows users to code in Python R and Octave.

Store, archive, and manage multi-omic data sets. Illumina Connected Analytics provides a secure platform for genomic data to operationalize informatics, and drive scientific insight. CWL and Nextflow allow you to easily import, build and edit workflows. Leverage DRAGEN bioinformatics pipelines. Organize your data in a safe workspace and share it with the world in a compliant way. Our platform allows you to keep your data in the cloud. Visualize and interpret data using a flexible analysis tool, such as JupyterLab Notebooks. Data warehouses allow you to aggregate, query and analyze sample data and population data. Scale analysis operations through the creation, validation, automation, and deployment of informatics pipelines. Reduce the time needed to analyze genomic data when quick results are a key factor. Enable comprehensive profiling for the identification of novel drug targets and biomarkers of drug response. Data can be transferred seamlessly from Illumina sequencing platforms.

Hopsworks is an open source Enterprise platform that allows you to develop and operate Machine Learning (ML), pipelines at scale. It is built around the first Feature Store for ML in the industry. You can quickly move from data exploration and model building in Python with Jupyter notebooks. Conda is all you need to run production-quality end-to-end ML pipes. Hopsworks can access data from any datasources you choose. They can be in the cloud, on premise, IoT networks or from your Industry 4.0-solution. You can deploy on-premises using your hardware or your preferred cloud provider. Hopsworks will offer the same user experience in cloud deployments or the most secure air-gapped deployments.

Wing Python IDE was built from the ground up to provide a better Python development experience. Wing will take care of the details, so you can type less. You can get immediate feedback by writing Python code interactively in the live Runtime. Navigate code and documentation easily. Wing's deep Python analysis will help you avoid common mistakes and quickly find the root cause. Smart refactoring and code quality checking will keep your code clean. Any Python code can be debugged. You can inspect debug data and use it to try out bug fixes without having to restart your app. You can work locally, remotely, on a VM, container, or host. Wingware's 21-year-old Python IDE experience will provide you with a more Pythonic development environment. Wing was built from the ground up in Python and is fully extensible with Python. You can be more productive.

Intel®, DevCloud provides free access to a variety of Intel®, architectures. This allows you to get hands-on experience using Intel®, software, and execute your edge and AI, high-performance computing, (HPC) and rendering workloads. You have all the tools and libraries you need to accelerate your learning and project prototyping with preinstalled Intel®. optimized frameworks, tools and libraries. Freely learn, prototype, test, run and manage your workloads on a cluster with the latest Intel®, hardware and software. A new collection of curated experiences will help you learn, including market vertical samples and Jupyter Notebook tutorials. You can build your solution in JupyterLab, test it with bare metal, or create a containerized solution. You can quickly bring it to Intel DevCloud to be tested. Use the deep learning toolbench to optimize your solution for a specific target device edge. Take advantage of the new, stronger telemetry dashboard.

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 is Python’s Integrated Development and Learning Environment. IDLE features include: - 100% pure Python code using the tkinter GUI Toolkit - cross-platform : works largely the same on Windows Unix and macOS - Python shell (interactive interpreter), with colorizing code input, output and error messages - Multi-window text editing with multiple undos, Python colorizing and smart indent. - Search within any window, Replace within editor windows and search through multiple files using grep - debugger that allows you to step, view global and local namespaces, and set persistent breakpoints - Configuration, browsers and other dialogs

Multilingual cloud IDE-Lightly helps you develop your apps quickly and efficiently. AI-generated code, collaborative development tools and AI-generated code will help you create high-quality code quickly. Lightly is an IDE cloud that supports multiple languages including Java, Python C++ HTML JavaScript. You can write, run and debug code anywhere, anytime on iPad. AI-generated code helps you generate code quickly. Collaboration in real time is made easy with collaborative development. Lightly can host and deploy your projects without having to manage infrastructures. We'll provide you with project images that will help you efficiently deploy on AWS Azure GCP or any other cloud provider. Let the AI programming assistant handle the rest!

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 integrates development for prompt engineering, interpretability research and other related tasks. It accelerates prompting engineering through an SDK which allows complex prompting techniques to be implemented and rich analytics to visualize the network's results. We use it heavily for our Grok continuous development. We developed PromptIDE in order to provide engineers and researchers with transparent access to Grok-1 - the model that powers Grok - to the community. The IDE was designed to empower users, and allow them to explore the capabilities of large language models at their own pace. The IDE's core is a Python editor that, when combined with a new SDK, allows for complex prompting techniques. Users can see useful analytics while executing prompts within the IDE. These include the precise tokenization of the prompt, sampling probabilities and alternative tokens. The IDE offers a number of features that enhance the quality of life. It automatically saves prompts.

RadSystems is an integrated development environment tool that reduces redundant coding time and facilitates rapid application development. RadSystems applications are possible to be created using ASP.NET Core and Python Flask, PHP Laravel PHP Laravel Node Express.js Vue.js and Quasar Framework. Bootstrap, jQuery and Laravel are also available for building classic or traditional web applications.

CodeSnack is the original mobile IDE for Android phones and tablets. It offers a fast and simple-to-use tool that allows anyone to create great programs and learn how to code using samples. You can also deploy real-world front-end and back-end apps in minutes. It takes only seconds to get started and you don’t need to be a good coder or have server administrator skills to learn how it works. CodeSnack IDE gives you all the flexibility and control you need to do things your way. You can use any programming language. Use your preferred keyboard and shortcuts. Sync your projects across all your devices.

Bokeh allows you to create simple plots but can also handle custom or specialized use cases. Apps, dashboards and plots can be published on web pages or in Jupyter notebooks. Python offers a wide range of powerful analytics tools, including NumPy and Scipy, Pandas. Scikit-Learn, OpenCV and Scikit-Learn. Bokeh server allows you to connect these tools to rich interactive visualizations in your browser. It has a wide range of widgets, plot tools and UI events that trigger Python callbacks. Researchers at Monash University maintain Microscopium. Researchers can use it to explore large image datasets using Bokeh's interactive tools. Panel is a tool that allows for polished data presentation and makes use of the Bokeh server. Anaconda created it and supports it. Panel allows you to easily create interactive web apps and dashboards using user-definable widgets. These widgets can be connected to plots, images or tables, text, or any other data.

The uVision IDE combines program debugging, project management, runtime environment, build facilities and source code editing in one powerful environment. uVision is simple to use and accelerates embedded software development. uVision supports multiple screens, and allows you to create individual window layouts on any visual surface. The uVision Debugger offers a single environment where you can test, verify, optimize, and optimize your application code. The debugger has traditional features such as watch windows, simple and complex breakpoints, execution control, and execution control. It also provides full visibility to peripherals. You can create software applications using pre-built software components and support from Software Packs with the uVision Run-Time Environment and uVision Project Manager. Software components include libraries, source modules and configuration files. They also contain documentation.

WebContainers are a browser runtime environment developed by StackBlitz that allows the execution of Node.js apps and operating system commands within a web tab. This technology allows developers create instant interactive coding environments, from tutorials to fully-fledged Integrated Development Environments, without the use of local setups or cloud based virtual machines. WebContainers are client-side applications that offer a unique user experience with zero latency and offline capabilities. They also provide enhanced security by eliminating the risks associated with server side code execution. They are compatible with all major frameworks and support native Node.js tools, such as npm and pnpm. WebContainers also allow WebAssembly to run out of the box. This allows for the porting various languages and frameworks into the browser environment.

BeakerX is a collection kernels and extensions for the Jupyter interactive computing system. It supports Spark cluster support, JVM support and polyglot programming. Interactive plots, tables, forms, publishing, as well as JVM support are all available. All JVM languages of BeakerX, including JavaScript, have APIs that allow interactive time-series and scatter plots, histograms and heatmaps. Both notebooks that have been saved to disk and notebooks that are published to the internet retain the widgets' interactive nature. They have unique features that allow you to handle many points, zooming in and out, as well as zooming in at nanosecond resolution. The table widget by BeakerX automatically recognizes pandas data frames. It allows you to search and sort, drag, filter and format, select, format, select and graph, hide, pin and export to CSV and clipboard. This makes it easy to connect to spreadsheets. Spark magic is available in BeakerX. It includes GUIs that allow you to configure, monitor, progress, and interrupt Spark jobs. You can either use the GUI, or create your SparkSession using code.

Eclipse IDE is the leading open platform for professional developers in computer programming. Better than ever. The Eclipse IDE provides everything you need to quickly innovate. Easy IDE configuration with the Eclipse IDE Installer 2020–09 and many packages now include a Java Runtime Environment. Improved styling and theming. Improved Windows dark theme, and GTK light theme. Moving to bleeding edge. Eclipse IDE now requires Java 11 to run, but you can compile any version. New experimental features. Support for aarch64. This version now supports Linux. Node.js embedded for all LSP-based toolings. Node.js embedded to make everything work out of the box Free, open source, and free from commercial restrictions. Released under the terms and conditions of the Eclipse Public License 2.0. Powered by participation A vast ecosystem of plugins created by an active community

Spyder's multilingual editor integrates many powerful tools straight out of the box to provide an efficient and easy-to-use editing experience. The editor's main features include syntax highlighting and style analysis (pyflakes, pycodestyle), on-demand completion, calltips, go-to-definition features like rope and jedi, a function/class browser and horizontal and vertical splitting. The IPython console lets you execute commands and interact directly with IPython interpreters. You can interactively browse and manage objects generated by your code using the variable explorer. It displays the namespace contents of the current IPython console session. You can add, remove and modify their values using a variety GUI-based editors.

CodeAlly connects tech companies with talented young developers through certifications, matchmaking referrals, and talent hunt. CodeAlly brings together candidate management, automated assessment, and coding to give your technical hiring team superpowers. Over 1000 developers join our talent network weekly. To connect with tech companies, add your skills and salary requirements. Employers will be able to invite you to jobs that match your profile. Employers will be able to see your profile through profile recommendations, talent searches, and real-time Github updates. You can access and manage your projects from anywhere with full-stack cloud. Learn programming with Freecodecamp's interactive courses in CodeAlly’s VSCode fork. Are you struggling to find your first job? Employers can use our certifications to find promising candidates from entry-level talent.