Alternatives to JetBrains Datalore

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.

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.

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.

CodeSandbox aims to make it easier for you to express your ideas with code, and to validate them. It also removes the hassles of setting up development tooling and sharing your project. Join us to help build the future of web coding. Over 4M developers use the platform each month. This includes organizations like Shopify and Atlassian. Since its launch, creators have created over 35M apps. It's used in thousands of open-source projects like React, Vue and Babel. You can invite your friends, colleagues, or team to join you or simply view your creation by using a URL. Use any of 1M+ packages for building real, powerful applications quickly and efficiently. Import and run repos directly from GitHub or choose from hundreds of templates to start in seconds. Boxy, CodeSandbox's AI-powered coding assistant, is now available to all Pro subscriptions.

Bringing people together - connect, inform & engage your audiences. Our solutions include intranet, community and knowledge management platforms, wiki's as well as smart FAQ software. We are enthusiastic strategists, designers, and developers who use many years of technical know-how with great love for the highest possible customer satisfaction. We love Drupal and other interfaces and automated processes. We have a profound knowledge of digital, artificial intelligence (AI) and transformation technologies. All our custom developments and products have at their core our unique data distribution engine called Wisdom Integration Engine, powered by the latest AI technologies and digital solutions. zehnplus offers high-quality, sustainable and cost-efficient solutions. We offer strategic business know-how as well as project management and develop tailor-made software solutions. We are specialists in digitizing the customer journey, custom software development and Drupal CMS. We have successfully digitalized over 160 companies. Become one of them with us.

Emly Labs, an AI framework, is designed to make AI accessible to users of all technical levels via a user-friendly interface. It offers AI project-management with tools that automate workflows for faster execution. The platform promotes team collaboration, innovation, and data preparation without code. It also integrates external data to create robust AI models. Emly AutoML automates model evaluation and data processing, reducing the need for human input. It prioritizes transparency with AI features that are easily explained and robust auditing to ensure compliance. Data isolation, role-based accessibility, and secure integrations are all security measures. Emly's cost effective infrastructure allows for on-demand resource provisioning, policy management and risk reduction.

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.

Koding allows your organization to create and share fully automated development environments on any infrastructure. This is useful for modern distributed applications, microservices, containers and containers. Koding allows developers and team managers to create and share fully automated dev environments on any infrastructure for modern distributed applications, micro-services and containers. This makes it easy for them to speed up their creativity and freedom. Spend less time configuring, and more time building! All members of your team can collaborate and share code as well as your development environment. No more screen sharing. You can either share your dev environment in real-time or make it available to the entire team. Your team will be able to identify inefficiencies in their workflow and help them prioritize and fix them. A company with 1000s developers will spend at least 25% of their year configuring dev environments. Koding allows you to take your time.

Raftt takes away the frustrations of setting up, maintaining, and sharing development environments for your local machine. Containers were created to simplify development, not production. Even if you can get past the pain-to deal-with drift and decay in local envs, you still need to spend hours trying to figure out what's happening. Raftt's platform allows you to create unlimited remote envs that can run your code. You can still feel local development using your existing workflows or IDEs without losing the feeling of localization. Raftt allows you to share a URL to your remote development environment with your colleagues. You can collaborate and debug together in real time. The link is accessible to your product lead, even after you switch to a different feature. Raftt allows you to interactively debug containers within your IDE by changing their nature. Now, the container doesn’t crash if its main process stops working.

Data analysts, engineers, scientists, and other scientists can be brought together. Automate self-service analytics and machine learning operations. Get results today, build for tomorrow. Dataiku DSS is a collaborative data science platform that allows data scientists, engineers, and data analysts to create, prototype, build, then deliver their data products more efficiently. Use notebooks (Python, R, Spark, Scala, Hive, etc.) You can also use a drag-and-drop visual interface or Python, R, Spark, Scala, Hive notebooks at every step of the predictive dataflow prototyping procedure - from wrangling to analysis and modeling. Visually profile the data at each stage of the analysis. Interactively explore your data and chart it using 25+ built in charts. Use 80+ built-in functions to prepare, enrich, blend, clean, and clean your data. Make use of Machine Learning technologies such as Scikit-Learn (MLlib), TensorFlow and Keras. In a visual UI. You can build and optimize models in Python or R, and integrate any external library of ML through code APIs.

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.

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.

Modern, smart & extensible cloud IDE. CodeTasty offers a powerful IDE on the cloud, with features that only a cloud-based application can offer. Our IDE allows you to write readable, clean code in real-time. The code editor offers a silky smooth experience, with tools for error detection, code completion, and built-in compiling. Login to IDE, and start coding. You don't need to install anything, you can start working on your project immediately. Enjoy desktop-like performance when editing files in the cloud. You can also see what your collaborators do, unlike desktop. We understand that every developer has unique needs. You can install countless extension to increase your productivity. CodeTasty is compatible with more than 40 different languages. The editor supports up to 100 thousand lines of code and all major languages.

PlatformIO is a professional collaborative platform for embedded programming. PlatformIO is a next-generation collaborative platform for embedded software development. It allows customers to save time and money by greatly reducing the costs and labor involved in creating and maintaining product code. We believe that the embedded systems industry needs to be reinvented. Not only are IDEs and tools built using technology from the 1990s but they also have many requirements and platform-dependent configurations which prevent talented developers from becoming embedded engineers. This is the most popular IDE solution for Microsoft Visual Studio Code. An integrated development environment that is user-friendly and extensible. It includes a variety of powerful tools and features that will speed up the creation and delivery embedded products. PlatformIO is written entirely in Python and does not require any additional libraries or tools from an operation system.

Red Hat OpenShift Dev Spaces is based on the Eclipse Che project and uses Kubernetes containers to provide a consistent, secure and zero-configuration environment for any member of the IT or development team. The experience is just as fast and familiar than a fully integrated development environment on your computer. OpenShift Developer Spaces are included in your OpenShift subscription. They can be found in the Operator Hub. It gives developers a more reliable and efficient platform to work on, and operations have centralized control and peace-of-mind. Get started coding today with our Red Hat OpenShift Developer Sandbox, which includes OpenShift Dev Spaces for free. Developers can concentrate on code, as their application and development environment are containerized and run on OpenShift. This is all without having to learn the details of Kubernetes. Administrators can manage and monitor workspaces just like any other Kubernetes resource.

Collaboration with AI and each other is made easy without having to switch between tools. This reduces distractions and context switches. Pullflow synchronizes your user identities and code review activity across GitHub Slack and VS Code. This allows you to communicate naturally across platforms. Take action wherever you are and return to your flow. Pullflow integrates GitHub Actions, external CI/CD tools, GitHub apps and more to give you a single view on your pull request, from the draft stage to the test and deployment phase. Pullflow can take care of your quick actions with a simple chat mention or IDE shortcut. Request review, add/remove label, give feedback, accept, and more without a trip on GitHub.

All enterprise's AI/ML efforts can have a consistent and positive impact. Data scientists deserve a solution that makes their experiments reproducible, each asset discoverable, and simplifies knowledge transfer. Managers deserve a dedicated data science solution. To automate reporting, secure knowledge, and simplify reviews and other processes. Vectice's mission is to revolutionize how data science teams collaborate and work together. All organizations should see consistent and positive AI/ML impacts. Vectice is the first automated knowledge system that is data science-aware, actionable, and compatible with the tools used by data scientists. Vectice automatically captures all assets created by AI/ML teams, such as data, code, notebooks and models, or runs. It then automatically generates documentation, from business requirements to production deployments.

A collaborative tool for teams who work on distributed software. Your team can work together anytime, anywhere. Store documents, APIs, sketches, and more, in one secure location. Manage changes and track progress easily with branches. You can refine your vision and collect feedback with ease. Track the performance of your platform in relation to your system design. Integrate AWS, MongoDB Atlas and Datadog to visualize dependencies better. Multiplayer AI assists you to design platform features, create code for microservices and create documentation faster. AI helps you design, develop and manage distributed software more efficiently. Our mission is to improve the way developers work. Multiplayer is an intuitive visual collaboration platform that helps engineering teams design, develop and manage distributed software.

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!

All work can be synced, searched and managed across your data science team. Zepl's powerful search allows you to discover and reuse models, code, and other data. Zepl's enterprise collaboration platform allows you to query data from Snowflake or Athena and then build your models in Python. For enhanced interactions with your data, use dynamic forms and pivoting. Zepl creates new containers every time you open your notebook. This ensures that you have the same image each time your models are run. You can invite your team members to join you in a shared space, and they will be able to work together in real-time. Or they can simply leave comments on a notebook. You can share your work with fine-grained access controls. You can allow others to read, edit, run, and share your work. This will facilitate collaboration and distribution. All notebooks can be saved and versioned automatically. An easy-to-use interface allows you to name, manage, roll back, and roll back all versions. You can also export seamlessly into Github.

CoScreen enables multiple team members to share and edit application windows simultaneously on a joint desktop. Key features: - Crystal-clear audio and video chat - Multi-user screen sharing of any desktop or browser app with one click - Multi-user editing of shared windows using mouse and keyboard, 2-3x lower latency than Zoom, Slack, and Microsoft Teams - See who from your team is online and call them with one click - Integrate CoScreen with your favorite apps like Slack, VS Code, IntelliJ, and other JetBrains IDEs - Enterprise-grade compliance and securely encrypted connections At CoScreen, our mission is to help teams and organizations work together more seamlessly and effectively than ever before. We empower teams like yours to become more productive without getting burned out or video chat-fatigued - no matter if you work fully remotely, co-located, or hybrid. Top use cases: Team standups, 1:1s, sprint demos, pair programming, coding interviews, employee onboarding, incident management, incident response, and many more...

Deepnote is building the best data science notebook for teams. Connect your data, explore and analyze it within the notebook with real-time collaboration and versioning. Share links to your projects with other analysts and data scientists on your team, or present your polished, published notebooks to end users and stakeholders. All of this is done through a powerful, browser-based UI that runs in the cloud.

Machine learning uncovers hidden patterns in enterprise data and generates new value for businesses. Oracle Machine Learning makes it easier to create and deploy machine learning models for data scientists by using AutoML technology and reducing data movement. It also simplifies deployment. Apache Zeppelin notebook technology, which is open-source-based, can increase developer productivity and decrease their learning curve. Notebooks are compatible with SQL, PL/SQL and Python. Users can also use markdown interpreters for Oracle Autonomous Database to create models in their preferred language. No-code user interface that supports AutoML on Autonomous Database. This will increase data scientist productivity as well as non-expert users' access to powerful in-database algorithms to classify and regression. Data scientists can deploy integrated models using the Oracle Machine Learning AutoML User Interface.

JSFiddle uses the concept of panels (or tabs, if you switch to the tabbed layout), and there are four panels. Three allow you to enter code, three allow you to see the result, and one allows you to view HTML - structure code. No need to add body Doctype head. CSS - styles is automatically added. You can change pre-pocessor to SCSS or JavaScript - behavior. There are many code pre-processors and frameworks that you can use. After you have entered code, hit the "Run" button in the top actions bar. The fourth panel will display the results. SFiddle allows the editor to change from the 2x2 grid layout to one that suits your needs. It also offers a tabbed mode. Grids can be resized to any size. You can also resize the Results panel to see its width (ideal for media queries).

RunCode offers online workspaces that allow you to work in a web browser on code projects. These workspaces offer a complete development environment that includes a code editor, a terminal and access to a variety of tools and libraries. These workspaces are easy to use and can be set up on your own computer.

Fully-featured IDE that allows you to code, debug and test on any platform. Code faster. Work smarter. The best-in-class IDE helps you create the future. From initial design to final deployment, you can develop with the entire toolset. IntelliSense performance improved for C++ files. Local development using many common emulators. Solution Explorer simplifies test access. Git management and repo creation within the IDE. Microsoft Azure workload now includes Kubernetes support

CodePen is a community for front-end developers and designers. You can build and deploy a website. Show off your work, create test cases to learn, debug, or inspire others. Get inspired by 1.8 million+ front-end developers and designers. Explore and share work by world-class front-end developers and designers. The CodePen Editor allows for a wide range of customizations. Emmet and autocomplete are available for speed and accuracy. Smart defaults can be set up to make it easier to start new work. You can completely customize the appearance of code demos on you own site. How can you change the look of your website? Change the theme, and all your Embedded Pens will follow suit. You need to include an image in a Pen. You don't have to search for alternate hosting. Instead, drag-and-drop the image onto CodePen. We'll host it. You don't have to limit yourself to images. CSS, JSON files and SVGs, as well as media files. CodePen's most powerful feature is Projects.

The AI-first code editor. Create software faster with an editor that is designed for AI-paired programming. With just one click, you can migrate all of your favorite vscode extension with local options to work on security-critical projects. Cursor is a clone of VSCode. Import all of your extensions, themes and keybindings with just one click. Local mode does not store any data on our servers or logs. Avoid searching for code that is tailored to your repository. Save time searching for the right method or place to start a new change. Directly refer to documentation, code definitions and files. With a single prompt, you can change an entire class or method. Create code from scratch using a simple command. Cursor will scan your code and help you quickly fix any bugs.

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.

A fully-featured machine learning platform empowers enterprises to conduct real data science at scale and speed. You can spend less time managing infrastructure and tools so that you can concentrate on building machine learning applications to propel your business forward. Anaconda Enterprise removes the hassle from ML operations and puts open-source innovation at the fingertips. It provides the foundation for serious machine learning and data science production without locking you into any specific models, templates, workflows, or models. AE allows data scientists and software developers to work together to create, test, debug and deploy models using their preferred languages. AE gives developers and data scientists access to both notebooks as well as IDEs, allowing them to work more efficiently together. They can also choose between preconfigured projects and example projects. AE projects can be easily moved from one environment to the next by being automatically packaged.

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.

Code With Me is a new service for collaborative coding and pair programming. It allows you to invite other people into your IDE project and work together in real time. Invite your teammate to collaborate online and solve problems, review code and make changes together. In a single, remote collaborative IDE, you can simultaneously develop, debug, fix, and test code with your entire team. Invite others to your project so that you can show them the code and explain it to them. This is a great choice for both classroom and online coding interviews. You just need to click the link the host shared with you and you are good to go. No more repository downloading or pulling updates from another branch. You won't have to spend time setting up a environment, fixing compile-time exceptions and resolving dependency headaches in order to get to the current project state. You don't even have to have a JetBrainsIDE installed as a guest.

Machine learning can be shared across your organization by collaborating, democratizing, and operationalizing it. Data science is a team sport. Data scientists, citizen data scientists and data engineers, as well as business users and developers, need flexible tools that facilitate collaboration, automation and reuse of analytic workflows. Algorithms are just one part of advanced analytic technology. Companies must increase their focus on the management, deployment, and monitoring analytic models in order to deliver predictive insights. Smart businesses depend on platforms that can support the entire lifecycle of analytics and provide enterprise security and governance. TIBCO®, Data Science software allows organizations to innovate and solve complex problems more quickly, ensuring that predictive findings are quickly turned into optimal outcomes. Flexible authoring and deployment capabilities allow organizations to expand their data science deployments throughout the organization with TIBCO Data Science.

A peer-to–peer stack to build software together. Your new workspace is a decentralized app that allows code collaboration. Forget platforms. You can easily share your code without having to rely on anyone. You can work securely offline and you don't need to trust anyone to keep it safe or online. Take control of your infrastructure software. Get involved with your community. A fresh approach to sustainability: Support and be supported. No more walls, built on open protocols and not platforms. Radicle is an open-source code collaboration network that uses open protocols. It allows developers to collaborate on code without having to rely on trusted intermediaries. Radicle was created to offer similar functionality to central code collaboration platforms, or "forges", but retain Git's peer to peer nature. This builds on the power of distributed version control.

CodeStream is an open source extension for Visual Studio Code, Visual Studio and JetBrains. CodeStream is a collaborative tool that enhances your development workflows. It supports pull requests from GitHub and BitBucket, GitLab, as well as issue management from Jira and Trello. Code discussion is integrated with Slack and MS Teams and email. In-editor notifications are also available. CodeStream makes it easier to understand, review, and create code faster. It's as simple as selecting the code and typing your question. Your source code will help you save institutional knowledge. Integrates with Slack and Microsoft Teams, Email, and offers in-editor notifications. It is easy to comment on code: select the code and type your question. Based on git blame information, code authors are automatically mentioned. Conversation threads are tied with code locations across branches as well as new code merging in.

As you experiment with full history and recovery, confidently branch, review, merge, and review data. For always-in-sync development, and guaranteed reproducibility, track your code and data together. Automate reports, audit access, manage metadata, and more in one central location. XetHub is perfect for teams that already use Git to track code changes and want to take advantage of the power and flexibility of infinite history, pull request, and difference-based tracking to track larger assets like media files or datasets. For workflows that use code for generating or augmenting assets, managing complete projects with familiar Git semantics is easy.

Teletype for Atom allows developers to share their workspaces with other team members and collaborate on code real-time. It is important to work on code together in real-time for knowledge sharing and the production of quality software. Teletype's Atom package aims to make it as simple for developers to code together than it is for them to do it alone. Teletype introduces the concept for real-time portals that allow sharing workspaces. A portal is a tab that hosts open to share a workspace. Invited collaborators can join the portal and make edits in real-time. As the host navigates between files, collaborators can follow the active tab. Teletype uses WebRTC to secure all communication between collaborators. There is no central server that can spy on keystrokes. What happens in the portal remains in the portal.

Software teams can talk. GitDuck allows you to communicate and collaborate in real time using video chat. GitDuck integrates directly with your code and other tools so you can have more productive video chats with your team. You can share your code without sharing your screen. You can collaborate with other developers and work together from your IDE. Low CPU and bandwidth usage. Optimized to facilitate real-time collaboration. Simple room links. No more long URLs. Talk on the team's page. It's easy to remember. Share and join. Cross-IDE support. Your favorite IDE allows you to collaborate with your team while they use the one they prefer. Terminal sharing. You can easily and securely share your terminal session to your team. P2P encrypted All connections are encrypted and P2P. Talk about your product and plan for sprint development. Review customer feedback and write user stories together.

Manage and build teams and projects. Software development and collaboration made easier and more enjoyable. One platform that offers software development, project management and communication tools for your business. You will only receive the information that is relevant to you. Context switching and distractions are eliminated by integrating chats into all notifications. By bringing together the entire company in a single environment, you can eliminate silos between specialists and teams. Space allows you to build integrations and automate business processes using a rich HTTP API and Webhooks. You can quickly start projects and set up the entire infrastructure. Unified UI/UX ensures consistency in all areas. Connect your JetBrains IDE to Space to enjoy the full power of the integrated collaborative solution within your personal development environment.

SAS®, Viya®, data science offerings offer a comprehensive, scalable analytical environment that is quick and easy to use, allowing you to meet diverse business requirements. Automatically generated insights allow you to identify the most commonly used variables across all models, the most significant variables selected across models, and assess results for all models. Natural language generation capabilities allow you to create project summaries in plain language. This makes it easy to interpret reports. Analytics team members can add project notes and comments to the insights report to facilitate communication between team members. SAS allows you to embed open source code into an analysis and call open-source algorithms seamlessly within its environment. This allows for collaboration within your organization as users can program in the language they prefer. SAS Deep Learning with Python (DLPy) is also available on GitHub.

Quadratic allows your team to collaborate on data analysis and deliver faster results. You're already familiar with spreadsheets, but this is the first time you have had so much power. Quadratic is fluent in Formulas, Python and SQL (JavaScript & SQL coming soon). Use the language that you and your team are already familiar with. Single-line formulas can be difficult to read. Quadratic allows you to expand your recipes as many times as you want. Quadratic comes with Python library support. Bring the latest open source tools to your spreadsheet. The last line of the code is returned to your spreadsheet. By default, raw values, 1/2D arrays and Pandas DataFrames can be used. Quadratic updates its cells automatically when data is pulled or fetched from an external API. Zoom out to see the big picture and zoom in for the details. Arrange your data and navigate it the way you see it in your mind, not as a tool would have it.

Hex combines the best of notebooks and BI into a seamless, collaborative interface. Hex is a modern Data Workspace. It makes it easy for you to connect to data and analyze it in collaborative SQL or Python-powered notebooks. You can also share work as interactive data apps or stories. The Projects page is your default landing page in Hex. You can quickly find the projects you have created and those you share with others. The outline gives you an easy-to-read overview of all cells in a project's Logic View. Each cell in the outline lists all variables it defines and any cells that return an output (chart cells or Input Parameters cells, etc.). Display a preview of the output. To jump to a specific position in the logic, you can click on any cell in the outline.

Analytically driven decision flows can be created, embedded and managed at scale in batch or real-time. SAS Data Science Programming allows data scientists who prefer to work only in programmatic mode to access SAS analytical capabilities at every stage of the analytics lifecycle, including data discovery and deployment. Visualize and discover relationships in your data. You can create and share interactive dashboards and reports, and use self service analytics to quickly assess possible outcomes to make data-driven, smarter decisions. This solution runs in SAS®, Viya®. It allows you to explore data and create or adjust predictive analytical models. Analysts, statisticians, data scientists, and analysts can work together to refine and refine models for each group or segment, allowing them to make informed decisions. A comprehensive visual interface allows you to solve complex analytical problems. It handles all aspects of the analytics lifecycle.

esDynamic allows you to maximize your security testing journey. From setting up your bench, to analyzing the results of your data processing, esDynamic will save you time and effort. Discover the comprehensive and flexible Python-based platform that is perfect for every phase of security analysis. You can easily customize your research space by adding new equipment, integrating different tools, and changing data. esDynamic also offers a large collection of materials that cover complex topics, which would normally require extensive research and a team of experts. This gives you instant access to expertise. Say goodbye to fragmented data and scattered knowledge. Welcome to a cohesive workspace that allows your team to easily share data and insights. This will foster collaboration and accelerate discoveries. Share your JupyterLab Notebooks with your team to centralize and solidify all your efforts.

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.

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.

All teams can independently access key insights by simply talking. No data literacy or training required. Crystal can be customized to meet the needs of an organization. This means that crystal and your teams can work together to generate actionable insights. Crystal monitors your data 24 hours a day and can alert you to important changes. This ensures that you get the answers you need as well as those you didn't know were there. Your teams can access instant insights on both mobile and desktop without having to go through reports. With crystal's user-friendly setup, you can bring your use case to life in days and not months. You can increase the value of your existing BI investments by setting up a low-code, no-code data source connection.

The Domino Enterprise MLOps Platform helps data science teams improve the speed, quality, and impact of data science at scale. Domino is open and flexible, empowering professional data scientists to use their preferred tools and infrastructure. Data science models get into production fast and are kept operating at peak performance with integrated workflows. Domino also delivers the security, governance and compliance that enterprises expect. The Self-Service Infrastructure Portal makes data science teams become more productive with easy access to their preferred tools, scalable compute, and diverse data sets. By automating time-consuming and tedious DevOps tasks, data scientists can focus on the tasks at hand. The Integrated Model Factory includes a workbench, model and app deployment, and integrated monitoring to rapidly experiment, deploy the best models in production, ensure optimal performance, and collaborate across the end-to-end data science lifecycle. The System of Record has a powerful reproducibility engine, search and knowledge management, and integrated project management. Teams can easily find, reuse, reproduce, and build on any data science work to amplify innovation.

HyperCube is the platform that data scientists use to quickly discover hidden insights, no matter what your business needs. Use your business data to make an impact. Unlock understanding, uncover untapped opportunities, make predictions, and avoid risk before they happen. HyperCube turns huge amounts of data into actionable insights. HyperCube is for you, whether you are a beginner or an expert in machine learning. It is the data science Swiss Army knife. It combines proprietary and open-source code to deliver a wide variety of data analysis features right out of the box. Or, it can be customized for your business. We are constantly improving our technology to deliver the best possible results. Choose from apps, DaaS (data-as-a service) or vertical market solutions.

Powerful computing at your fingertips. Parallel computing and innovative algorithms are available. What are you waiting for?! This tool is designed to empower data scientists in the business. You can get the fastest computing through an all-inclusive platform that covers time-series. Shapelets offers analytical features such as forecasting, clustering and motif discovery, discords, and causality. To make Big Data analysis more efficient, you can run, extend, and integrate your own algorithms in the Shapelets platform. Shapelets can be integrated seamlessly with any data storage and collection solution. It can also be integrated with MS Office and any other visualization software to simplify and share your insights without needing any technical knowledge. Interactive visualizations are possible because our UI integrates with the server. Our modern interface allows you to make the most out of your metadata and present it in the various visual graphs available. Shapelets allows users in the oil, gas, or energy industry to analyze operational data in real-time.