JupyterLab Alternatives

Codeium is a free AI-powered coding assistant that accelerates development by providing intelligent code autocompletion in over 70 programming languages and more than 40 IDEs, including VSCode, JetBrains, and Jupyter Notebooks. With Codeium, developers can write code faster, eliminate repetitive tasks, and stay in the flow state—whether they're working with Python, JavaScript, C++, or any other language. Built on billions of lines of open-source code, Codeium understands and anticipates your coding needs, offering multiline suggestions, automated unit tests, and even natural language explanations for complex functions. It’s perfect for streamlining code writing, reducing boilerplate, and cutting down the time spent on documentation searches. Trusted by individual developers and Fortune 500 companies alike, Codeium is your go-to solution for boosting productivity and writing better code. Try Codeium for free today and experience the future of AI-powered coding!

Embarcadero Dev-C++ is a new and improved fork (sponsored by Embarcadero) of Bloodshed Dev-C++ and Orwell Dev-C++. It is a full-featured Integrated Development Environment (IDE) and code editor for the C/C++ programming language. It uses Mingw port of GCC (GNU Compiler Collection) as its compiler. Embarcadero Dev-C++ can also be used in combination with Cygwin or any other GCC based compiler. Embarcadero Dev-C++ is built using the latest version of Embarcadero Delphi. Embarcadero Dev-C++ has a low memory footprint because it is a native Windows application and does not use Electron. Optimized for parallel compilation on modern multi-core machines.

Visual LANSA is a low-code development platform used by IT pros to build enterprise web and mobile apps faster, easier, and at a lower cost than traditional coding. Trusted by thousands of customers across the globe, Visual LANSA accelerates application development by eliminating the need to master multiple technical skills normally required to produce software applications. Once an app is developed, it can be deployed to an IBM i, Windows, or Linux server. One IDE, one language, no limitations. 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 offers 24/7 live support and online support.

At Posit, our goal is to make data science more open, intuitive, accessible, and collaborative. We provide tools that make it easy for individuals, teams, and enterprises to leverage powerful analytics and gain the insights they need to make a lasting impact. From the beginning, we’ve invested in open-source software like the RStudio IDE, Shiny, and tidyverse. Because we believe in putting the power of data science tools in the hands of everyone. We develop R and Python-based tools to help you produce higher-quality analysis faster. Securely share data-science applications across your team and the enterprise. Our code is your code. Build on it. Share it. Improve people’s lives with it. Take the time and effort out of uploading, storing, accessing, and sharing your work. We love hearing about the amazing work being done with our tools around the world. And we really love sharing those stories.

Switch between command and editor modes with a single keystroke. Navigate over cells with arrow keys. Use all of the standard Jupyter shortcuts. Enjoy fully interactive outputs – right under the cell. When editing code cells, enjoy smart code completion, on-the-fly error checking and quick-fixes, easy navigation, and much more. Work with local Jupyter notebooks or connect easily to remote Jupyter, JupyterHub, or JupyterLab servers right from the IDE. Run Python scripts or arbitrary expressions interactively in a Python Console. See the outputs and the state of variables in real-time. Split Python scripts into code cells with the #%% separator and run them individually as you would in a Jupyter notebook. Browse DataFrames and visualizations right in place via interactive controls. All popular Python scientific libraries are supported, including Plotly, Bokeh, Altair, ipywidgets, and others.

The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.

QuantRocket is a Python-based platform for researching, backtesting, and trading quantitative strategies. 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. Built on Docker, QuantRocket can be deployed locally or to the cloud and has an open architecture that is flexible and extensible.

Web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more. IPython interpreter provides comparable user experience like Jupyter Notebook. This release includes Note level dynamic form, note revision comparator and ability to run paragraph sequentially, instead of simultaneous paragraph execution in previous releases. Interpreter lifecycle manager automatically terminate interpreter process on idle timeout. So resources are released when they're not in use.

Within 5 minutes of downloading Flojoy Studio, you'll be building and running powerful Python-based engineering and AI apps - all without any coding knowledge. Engineers use Flojoy Studio to stream measurements from robotics, microcontrollers, single board computers, test stations, and benchtop instruments to Flojoy Cloud. Once in Flojoy Cloud, this research data can be analyzed, archived, downloaded, and annotated by team members. Flojoy is the de facto resource for open-source instrument control in Python. Flojoy is on a mission to support every major motion platform (robotic arms, stepper motors, servos, linear actuators, pneumatics, and more) with first-class and open-source Python support.

Discover the packages you need, with documentation and source right at your fingertips. Create your own Julia packages — either public or private. Seamlessly transition from small subsets to large datasets on the cloud. Scale to thousands of CPUs and GPUs with a single click. Provide dashboards to colleagues for running code through a GUI. Pfizer conducted simulations of novel pharmacology of a treatment for heart failure 175x faster using GPUs in Julia. Aviva uses Julia for Solvency II compliance to model risk 1,000x faster with 93% fewer lines of code. Develop applications with a browser-based IDE. Collaborate with ease. Hosted on the cloud and paid by the minute, JuliaHub is the simplest way to get started with the fastest scientific, mathematical and statistical computation language yet.

WebSmart is a rapid development tool for creating RPG and PHP desktop & mobile web applications. Responsive templates help you quickly create modern applications and APIs that you can customize for any business need using WebSmart’s powerful IDE. Templates generate the initial client and server-side code which you can customize to create any type of web application. Use responsive templates to create web and mobile applications that use a single code base. Use WebSmart’s API templates to quickly and seamlessly integrate your Db2 files and RPG programs with other web services. The PHP Edition helps you produce open source PHP applications that run on multiple platforms (IBM i, Windows, Linux, or Unix). The ILE edition is the fastest way for IBM i programmers to develop new RPG web applications that leverage existing code. Uses PHP, a popular and proven open-source language explicitly developed to create web applications.

Our Cloud IDE saves you time by deploying a development environment in seconds, enabling you to code, learn, build, and collaborate on your projects. With our amazing web-based code editor in Codeanywhere, you will forget you ever used any other 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 such as auto-complete, code refactor, go to definition, rename symbol and many others. Debug code with break points, call stacks and interactive console. Fully featured Git client. Expandable with vast amount of existing extensions. You can also spin up powerful containers in seconds, that can be fully preconfigured for the programming environment of your choice. Develop and run your code on our infrastructure with full sudo access. Prebuilt development environments for all major programming languages, packed with tools and database preinstalled.

Construct your model directly as a live, interactive graph. Preview data flowing through your visualized model architecture. View and edit your visualized model architecture down to the atomic level. Graphbook provides X-ray transparency with no black boxes. Graphbook live checks data type and shape with understandable error messages, making your model debugging quick and easy. Abstracting out software dependencies and environment configuration, Graphbook allows you to focus on model architecture and data flow with the handy computing resources needed. Cerbrec Graphbook is a visual IDE for AI modeling, transforming cumbersome model development into a user-friendly experience. With a growing community of machine learning engineers and data scientists, Graphbook helps developers work with their text and tabular data to fine-tune language models such as BERT and GPT. Everything is fully managed out of the box so you can preview your model exactly as it will behave.

Datalore is a collaborative data science and analytics platform aimed at boosting the whole analytics workflow and making work with data enjoyable for both data scientists and data savvy business teams across the enterprise. Keeping a major focus on data teams workflow, Datalore offers technical-savvy business users the ability to work together with data teams, using no-code or low-code together with the power of Jupyter notebooks. Datalore enables analytical self-service for business users, enabling them to work with data using SQL and no-code cells, build reports and deep dive into data. It offloads the core data team with simple tasks. Datalore enables analysts and data scientists to share results with ML Engineers. You can run your code on powerful CPUs or GPUs and collaborate with your colleagues in real-time.

With JupyterHub you can create a multi-user Hub which spawns, manages, and proxies multiple instances of the single-user Jupyter notebook server. Project Jupyter created JupyterHub to support many users. The Hub can offer notebook servers to a class of students, a corporate data science workgroup, a scientific research project, or a high performance computing group. JupyterHub officially does not support Windows. You may be able to use JupyterHub on Windows if you use a Spawner and Authenticator that work on Windows, but the JupyterHub defaults will not. Bugs reported on Windows will not be accepted, and the test suite will not run on Windows. Small patches that fix minor Windows compatibility issues (such as basic installation) may be accepted, however. For Windows-based systems, we would recommend running JupyterHub in a docker container or Linux VM.

The leading open-source AI code assistant. You can connect any models and any context to create custom autocomplete and chat experiences inside the IDE Remain in flow while coding by removing the barriers that block productivity when building software. Accelerate development with a plug-and-play system that makes it easy to get started and integrates with your entire stack. Become a leader in AI by setting up your code assistant to evolve as new capabilities emerge. Continue autocompletes single lines or entire sections of code in any programming language as you type. Attach code or other context to ask questions about functions, files, the entire codebase, and more. Highlight code sections and press a keyboard shortcut to rewrite code from natural language.

Editor.do is an all-in-one online IDE and hosting platform that allows you to create, code, host and deploy stunning & fast static websites in seconds. You can easily deploy your site files or a zip containing all your project files to our NVMe SSD storage servers, ensuring the fastest possible loading speed for your site. Our IDE supports over 150 programming languages with real-time code rendering and a panel of shortcuts and tools to search, replace, cut, select, and quickly manipulate your code. Editor.do offers over 1000 free and open-source templates covering a wide range of categories and libraries that can be imported directly from GitHub. Plus, ChatGPT is integrated and is always close at hand to help you correct, complete, or improve your code or text. Editor.do is an ideal platform for developers and designers of all skill levels who want to create stunning, fast, and secure websites in a fraction of the time.

KDevelop is a Free and Open Source integrated development environment (IDE). It provides editing, navigation and debugging features for several programming languages, as well as integration with multiple build systems and version-control systems, using a plugin-based architecture. KDevelop has parser backends for C, C++ and Javascript/QML, with further external plugins supporting e.g. PHP or Python. KDevelop Windows installers are also available to download from the binary-factory. These versions don’t contains the translations and are intended for testing purpose. Get involved and help us making them better! This release brings half a year of work, focused mainly on stability, performance, and future maintainability. Many existing features have received small improvements again, and there is one highly-visible addition, optional display of inline notes for problems at the end of the line.

The Kubeflow project is dedicated to making deployments of machine learning (ML) workflows on Kubernetes simple, portable and scalable. Our goal is not to recreate other services, but to provide a straightforward way to deploy best-of-breed open-source systems for ML to diverse infrastructures. Anywhere you are running Kubernetes, you should be able to run Kubeflow. Kubeflow provides a custom TensorFlow training job operator that you can use to train your ML model. In particular, Kubeflow's job operator can handle distributed TensorFlow training jobs. Configure the training controller to use CPUs or GPUs and to suit various cluster sizes. Kubeflow includes services to create and manage interactive Jupyter notebooks. You can customize your notebook deployment and your compute resources to suit your data science needs. Experiment with your workflows locally, then deploy them to a cloud when you're ready.

Amazon SageMaker Studio is an integrated development environment (IDE) that provides a single web-based visual interface where you can access purpose-built tools to perform all machine learning (ML) development steps, from preparing data to building, training, and deploying your ML models, improving data science team productivity by up to 10x. You can quickly upload data, create new notebooks, train and tune models, move back and forth between steps to adjust experiments, collaborate seamlessly within your organization, and deploy models to production without leaving SageMaker Studio. Perform all ML development steps, from preparing raw data to deploying and monitoring ML models, with access to the most comprehensive set of tools in a single web-based visual interface. Quickly move between steps of the ML lifecycle to fine-tune your models. Replay training experiments, tune model features and other inputs, and compare results, without leaving SageMaker Studio.

Limnor Studio is a pioneer in generic purpose visual programming system, released in August 2003. Many years of efforts have been devoted to developing visual languages and codeless technologies. Some new technologies have been patented in 2013. Limnor Studio is an IDE for rapid software development. The users develop software in a visual and codeless programming paradigm. Text coding is not needed. Programming is done via object construction and event-linking. Event-linking is shown in Event-Path visual language. Function development is done via control-flow visual language. Same programming approach is used for standalone software development and web development. In web develoment, client server boundary is removed. Developing a web application is done as if it is developing a standalone application. It is the first fully automated cloud computing system in the world.

Use our free, collaborative, in-browser IDE to code in 50+ languages — without spending a second on setup. Start coding with your favorite language on any platform, OS, and device. Invite your friends, teammates, and colleagues right into your code with Google-docs like editing. Import, run, and collaborate on millions of GitHub repos with 0 manual setup. From Python, to C++, to HTML and CSS, stay in one platform to learn and code in any language you want. The second you create a new repl, it's instantly live and sharable with the world. Learn how to code from 3 million+ passionate programmers, technologists, creatives, and learners of all kinds. Make your team more productive with interactive docs, real-time collaboration, and 0-hassle remote interviewing. Create apps programatically, spin up bots and customize the IDE with plugins to fit your needs.

Qt Creator's advanced code editor lets you code in C++, QML, JavaScript, Python and other languages. It features code completion, syntax highlighting, refactoring and has built-in documentation at your fingertips. Qt Creator integrates with most popular version control systems, including Git, subversion, perforce, and mercurial. Integrated visual editors for building C++ widget-based applications or fluid Qt Quick-based animated UIs with ready-made controls. Import an existing project or create one from scratch – Qt Creator generates all the necessary files. Support for Cmake and cross-compiling with qmake is included. Build for and run your software on desktop, mobile and embedded operating systems. The build settings allow you to easily switch between targets. Test and debug applications in conditions practically identical to those on your target device.

Project IDX is an experimental new initiative aimed at bringing your entire full-stack, multiplatform app development workflow to the cloud. Project IDX starts with a web-based workspace that'll feel familiar for coding but fresh. And we're just at the beginning of this journey. We'd love your input as we work to make application development better. Project IDX gets you into your dev workflow in no time, backed by the security and scalability of Google Cloud. Go from opening your browser to developing an application in a matter of seconds, not days, from anywhere and on any machine. Project IDX makes it easier to start building an app that works across multiple platforms using a variety of templates for popular frameworks, such as Angular, Next.js, React, Svelte, and Flutter, with Python and Go support coming soon. You can also import your existing applications from GitHub, with support for most tech stacks.

AWS Cloud9 is a cloud-based integrated development environment (IDE) that lets you write, run, and debug your code with just a browser. It includes a code editor, debugger, and terminal. Cloud9 comes prepackaged with essential tools for popular programming languages, including JavaScript, Python, PHP, and more, so you don’t need to install files or configure your development machine to start new projects. Since your Cloud9 IDE is cloud-based, you can work on your projects from your office, home, or anywhere using an internet-connected machine. Cloud9 also provides a seamless experience for developing serverless applications enabling you to easily define resources, debug, and switch between local and remote execution of serverless applications. With Cloud9, you can quickly share your development environment with your team, enabling you to pair program and track each other's inputs in real time.

Free. Cross-platform. Open source. A developer platform for building all your apps. Build native apps for Android, iOS, macOS and Windows from a single codebase. You can write your .NET apps in C#, F#, or Visual Basic. Your skills, code, and favorite libraries apply anywhere you use .NET. You can learn more about what .NET can do with these free videos. .NET is open source and we are very thankful for the many contributions it receives from the community.

Bayesforge™ is a Linux machine image that curates the very best open source software for the data scientist who needs advanced analytical tools, as well as for quantum computing and computational mathematics practitioners who seek to work with one of the major QC frameworks. The image combines common machine learning frameworks, such as PyTorch and TensorFlow, with open source software from D-Wave, Rigetti as well as the IBM Quantum Experience and Google's new quantum computing language Cirq, as well as other advanced QC frameworks. For instance our quantum fog modeling framework, and our quantum compiler Qubiter which can cross-compile to all major architectures. All software is made accessible through the Jupyter WebUI which, due to its modular architecture, allows the user to code in Python, R, and Octave.

Eclipse Dirigible™ is a high-productivity application platform that provides development tools and a runtime environment. It supports the full development lifecycle of applications by leveraging an in-system programming model and rapid application development techniques. Eclipse Dirigible provides capabilities for end-to-end development process from database modeling and management, through RESTful services authoring using various dynamic languages, to pattern-based user interface generation, role-based security, external services integration, testing, debugging, operations, and monitoring. All the Eclipse Dirigible project's source code and sample applications are licensed under Eclipse Public License v 2.0 and maintained at GitHub. You can develop student projects, test different technologies and scenarios, learn popular programming languages. Eclipse Dirigible provides everything you need for your development project.

The LabWindows/CVI ANSI C integrated programming environment helps you create custom engineering applications. You can use it to manage your project, edit and debug source code, build a user interface, and test code output and performance in one streamlined, tabbed workspace. LabWindows/CVI includes tools for advanced debugging, code documentation, and system deployment so you can integrate source code control, requirements, and data management systems. The software also makes it easier to quickly acquire data from GPIB, USB, serial, Ethernet, PXI, VXI, and FPGA instruments using the built-in instrument I/O libraries, built-in instrument drivers, or the two interactive measurement assistants. LabWindows/CVI provides an all in one work environment for ANSI C development to create test and measurement applications.

DataWorks is a Big Data platform product launched by Alibaba Cloud. It provides one-stop Big Data development, data permission management, offline job scheduling, and other features. DataWorks works straight ‘out-the-box’ without the need to worry about complex underlying cluster establishment and operations & management. You can drag and drop nodes to create a workflow. You can also edit and debug your code online, and ask other developers to join you. Supports data integration, MaxCompute SQL, MaxCompute MR, machine learning, and shell tasks. Supports task monitoring and sends alarms when errors occur to avoid service interruptions. Runs millions of tasks concurrently and supports hourly, daily, weekly, and monthly schedules. DataWorks is the best platform for building big data warehouses and provides comprehensive data warehousing services. DataWorks provides a full solution for data aggregation, data processing, data governance, and data services.

Hopsworks is an open-source Enterprise platform for the development and operation of Machine Learning (ML) pipelines at scale, based around the industry’s first Feature Store for ML. You can easily progress from data exploration and model development in Python using Jupyter notebooks and conda to running production quality end-to-end ML pipelines, without having to learn how to manage a Kubernetes cluster. Hopsworks can ingest data from the datasources you use. Whether they are in the cloud, on‑premise, IoT networks, or from your Industry 4.0-solution. Deploy on‑premises on your own hardware or at your preferred cloud provider. Hopsworks will provide the same user experience in the cloud or in the most secure of air‑gapped deployments. Learn how to set up customized alerts in Hopsworks for different events that are triggered as part of the ingestion pipeline.

Build, run and manage AI models, and optimize decisions at scale across any cloud. IBM Watson Studio empowers you to operationalize AI anywhere as part of IBM Cloud Pak® for Data, the IBM data and AI platform. Unite teams, simplify AI lifecycle management and accelerate time to value with an open, flexible multicloud architecture. Automate AI lifecycles with ModelOps pipelines. Speed data science development with AutoAI. Prepare and build models visually and programmatically. Deploy and run models through one-click integration. Promote AI governance with fair, explainable AI. Drive better business outcomes by optimizing decisions. Use open source frameworks like PyTorch, TensorFlow and scikit-learn. Bring together the development tools including popular IDEs, Jupyter notebooks, JupterLab and CLIs — or languages such as Python, R and Scala. IBM Watson Studio helps you build and scale AI with trust and transparency by automating AI lifecycle management.

Store, archive, manage, and collaborate on multi-omic datasets. Illumina Connected Analytics is a secure genomic data platform to operationalize informatics and drive scientific insights. Easily import, build, and edit workflows with tools like CWL and Nextflow. Leverage DRAGEN bioinformatics pipelines. Organize data in a secure workspace and share it globally in a compliant manner. Keep your data in your cloud environment while using our platform. Visualize and interpret your data with a flexible analysis environment, including JupyterLab Notebooks. Aggregate, query, and analyze sample and population data in a scalable data warehouse. Scale analysis operations by building, validating, automating, and deploying informatics pipelines. Reduce the time required to analyze genomic data, when swift results can be a critical factor. Enable comprehensive profiling to identify novel drug targets and drug response biomarkers. Flow data seamlessly from Illumina sequencing systems.

Intel® DevCloud offers complimentary access to a wide range of Intel® architectures to help you get instant hands-on experience with Intel® software and execute your edge, AI, high-performance computing (HPC), and rendering workloads. With preinstalled Intel® optimized frameworks, tools, and libraries, you have everything you need to fast-track your learning and project prototyping. Learn, prototype, test, and run your workloads for free on a cluster of the latest Intel® hardware and software. Learn through a new suite of curated experiences, including market vertical samples, Jupyter Notebook tutorials, and more. Build your solution in JupyterLab and test with bare metal or develop your containerized solution. Quickly bring it to Intel DevCloud for testing. Optimize your solution for a specific target edge device with the deep learning workbench and take advantage of the new, more robust telemetry dashboard.

Wing Python IDE was designed from the ground up for Python, to bring you a more productive development experience. Type less and let Wing worry about the details. Get immediate feedback by writing your Python code interactively in the live runtime. Easily navigate code and documentation. Avoid common errors and find problems early with assistance from Wing's deep Python code analysis. Keep code clean with smart refactoring and code quality inspection. Debug any Python code. Inspect debug data and try out bug fixes interactively without restarting your app. Work locally or on a remote host, VM, or container. Wingware's 21 years of Python IDE experience bring you a more Pythonic development environment. Wing was designed from the ground up for Python, written in Python, and is extensible with Python. So you can be more productive.

IDLE is Python’s Integrated Development and Learning Environment. IDLE has the following features: - coded in 100% pure Python, using the tkinter GUI toolkit - cross-platform: works mostly the same on Windows, Unix, and macOS - Python shell window (interactive interpreter) with colorizing of code input, output, and error messages - multi-window text editor with multiple undo, Python colorizing, smart indent, call tips, auto completion, and other features - search within any window, replace within editor windows, and search through multiple files (grep) - debugger with persistent breakpoints, stepping, and viewing of global and local namespaces - configuration, browsers, and other dialogs

Eclipse Theia is an extensible platform to develop multi-language Cloud & Desktop IDEs with state-of-the-art web technologies. Not sure whether you need a web or desktop version or both? With Theia you can develop one IDE and run it in browsers or native desktop application from a single source. The Theia project is hosted at the Eclipse Foundation, a not-for-profit corporation, and is developed by a diverse community. Unlike other "open-source" projects, projects hosted at an Open-Source Foundation are protected against single-vendor decisions against the interest of the diverse community. Theia is designed in a modular way to allow extenders and adopters customizing and extending every aspect of it. Composing a custom IDE-like product is as easy as listing all needed extensions in a package.json file. Adding new functionality by implementing your own extensions is easy, too and provides all the flexibility you need.

MatDeck is a universal, technical software for Mathematics, Science, Engineering, Chemistry, Coding, Databases and many other uses. Our software offers a complete Python IDE; thousands of mathematical functions; a drag and drop GUI Designer and various visualization tools, all embedded within a cutting-edge, live document for an inexpensive and professional computing environment.

Bokeh makes it simple to create common plots, but also can handle custom or specialized use-cases. Plots, dashboards, and apps can be published in web pages or Jupyter notebooks. Python has an incredible ecosystem of powerful analytics tools: NumPy, Scipy, Pandas, Dask, Scikit-Learn, OpenCV, and more. With a wide array of widgets, plot tools, and UI events that can trigger real Python callbacks, the Bokeh server is the bridge that lets you connect these tools to rich, interactive visualizations in the browser. Microscopium is a project maintained by researchers at Monash University. It allows researchers to discover new gene or drug functions by exploring large image datasets with Bokeh’s interactive tools. Panel is a tool for polished data presentation that utilizes the Bokeh server. It is created and supported by Anaconda. Panel makes it simple to create custom interactive web apps and dashboards by connecting user-defined widgets to plots, images, tables, or text.

Develop your apps efficiently with Multilingual cloud IDE - Lightly. Create high-quality code in no time with AI-generated code and collaborative development features. Lightly is a powerful cloud IDE that supports multiple programming languages, including Java, Python, C++, HTML, JavaScript. Write, run, and debug code on iPad, anywhere, anytime. The AI-generated code feature helps you quickly generate code. Collaborative development enables easy team collaboration in real-time. Lightly can deploy and host your projects without managing infrastructures. We'll provide project images to efficiently help you deploy on AWS, Azure, GCP, or any other cloud provider. You focus on your creativity and ideas, and let the AI programming assistant do the rest for you!

RadSystems is a robust integrated development environment tool and Low-code software that facilitates rapid application development process by reducing redundant coding time. RadSystems applications can be generated through ASP.NET Core, Python Flask, PHP Laravel, Node Express.js, Vue.js, and Quasar Framework. You can also build traditional or classic web applications using Bootstrap, jQuery, and Laravel. RadSystems Studio is a robust Low-code software that facilitates a rapid application development process by reducing redundant coding time. Through its complex engine algorithm, it is possible for an application to be generated in several programming languages from a single code base. You can publish your application to Classic Application, Single Page Application, Progressive Web Application, and Mobile Application with a single click.

BeakerX is a collection of kernels and extensions to the Jupyter interactive computing environment. It provides JVM support, Spark cluster support, polyglot programming, interactive plots, tables, forms, publishing, and more. All of BeakerX’s JVM languages plus Python and JavaScript have APIs for interactive time-series, scatter plots, histograms, heatmaps, and treemaps. The widgets remain interactive in both notebooks saved to disk, and notebooks published to the web. They include unique features for handling many points, nanosecond resolution, zooming, and exporting. BeakerX’s table widget automatically recognizes pandas data frames and allows you to search, sort, drag, filter, format, select, graph, hide, pin, and export to CSV or clipboard. This makes connecting to spreadsheets quickly and easy. BeakerX has a Spark magic with GUIs for configuration, status, progress, and interrupt of Spark jobs. You can either use the GUI or create your own SparkSession with code.

The xAI PromptIDE is an integrated development environment for prompt engineering and interpretability research. It accelerates prompt engineering through an SDK that allows implementing complex prompting techniques and rich analytics that visualize the network's outputs. We use it heavily in our continuous development of Grok. We developed the PromptIDE to give transparent access to Grok-1, the model that powers Grok, to engineers and researchers in the community. The IDE is designed to empower users and help them explore the capabilities of our large language models (LLMs) at pace. At the heart of the IDE is a Python code editor that - combined with a new SDK - allows implementing complex prompting techniques. While executing prompts in the IDE, users see helpful analytics such as the precise tokenization, sampling probabilities, alternative tokens, and aggregated attention masks. The IDE also offers quality of life features. It automatically saves all prompts.

CodeSnack is the first mobile IDE made from the ground up for Android phones and tablets. It provides you with fast and easy-to-use tools that make it possible for anyone to create great programs, learn how to code by samples, and deploy real-world back-end and front-end apps within minutes — for free. Getting started takes seconds, and you don't need to be a strong coder or have server administrator's skills to learn how to use it. With CodeSnack IDE, you get all the control and flexibility you need to make things your way without any compromise. Use any programming language. Use your favorite hardware keyboard and shortcuts. Sync your projects between all your devices.

The µVision IDE combines project management, run-time environment, build facilities, source code editing, and program debugging in a single powerful environment. µVision is easy-to-use and accelerates your embedded software development. µVision supports multiple screens and allows you to create individual window layouts anywhere on the visual surface. The µVision Debugger provides a single environment in which you may test, verify, and optimize your application code. The debugger includes traditional features like simple and complex breakpoints, watch windows, and execution control and provides full visibility to device peripherals. With the µVision Project Manager and Run-Time Environment you create software application using pre-build software components and device support from Software Packs. The software components contain libraries, source modules, configuration files, source code templates, and documentation.

Eclipse IDE The Leading Open Platform for Professional Developers used in computer programming. Better Than Ever. The Eclipse IDE delivers what you need to rapidly innovate. Easier IDE configuration The Eclipse IDE Installer 2020-09 and several packages now include a Java Runtime Environment (JRE). Improved theming and styling. Improved Windows dark theme and GTK light theme. Moving to bleeding edge. Eclipse IDE now needs Java 11 as a minimum version to run on, but you can compile any version as usual. New experimental features. Support for aarch64. Linux support landed this version. Node.js is now embedded For all our LSP-based toolings, Node.js is now embedded to make things work out of the box Free and open source Free and open source; released under the terms of the Eclipse Public License 2.0. Powered by Participation. A vast ecosystem of plugins from an active community

CodeAlly matches tech companies and talented young developers via certifications, matchmaking, referrals, and talent search. At CodeAlly, we bring candidate management, automatic assessment, and coding together to give your technical hiring team superpowers. Over 1000 developers join our talent network weekly. Add your skills and salary requirements to your profile to let tech companies connect with you. We will match you with jobs you might like and let employers invite you based on your profile. We will promote your profile to employers with profile recommendations, talent search and real-life Github updates. Access and run your projects anywhere using full-stack cloud environment. Learn with Freecodecamp's interactive programming courses running in CodeAlly's VSCode fork. Struggling to land a first job? Our certifications help employers find promising candidates among entry-level talent.

StarCoder and StarCoderBase are Large Language Models for Code (Code LLMs) trained on permissively licensed data from GitHub, including from 80+ programming languages, Git commits, GitHub issues, and Jupyter notebooks. Similar to LLaMA, we trained a ~15B parameter model for 1 trillion tokens. We fine-tuned StarCoderBase model for 35B Python tokens, resulting in a new model that we call StarCoder. We found that StarCoderBase outperforms existing open Code LLMs on popular programming benchmarks and matches or surpasses closed models such as code-cushman-001 from OpenAI (the original Codex model that powered early versions of GitHub Copilot). With a context length of over 8,000 tokens, the StarCoder models can process more input than any other open LLM, enabling a wide range of interesting applications. For example, by prompting the StarCoder models with a series of dialogues, we enabled them to act as a technical assistant.

Spyder’s multi-language editor integrates a number of powerful tools right out of the box for an easy to use, efficient editing experience. The editor’s key features include syntax highlighting (pygments); real-time code and style analysis (pyflakes and pycodestyle); on-demand completion, calltips and go-to-definition features (rope and jedi); a function/class browser, horizontal and vertical splitting, and much more. The IPython console allows you to execute commands and interact with data inside IPython interpreters. The variable explorer allows you to interactively browse and manage the objects generated running your code. It shows the namespace contents (including all global objects, variables, class instances and more) of the currently selected IPython console session, and allows you to add, remove, and edit their values through a variety of GUI-based editors.

After more than three decades of customer use and continuous enhancement, the MULTI Integrated Development Environment (IDE) is unmatched in the embedded software industry. Developers know they can rely on MULTI to help them produce high-quality code and get their devices to market faster. Whether pinpointing a hard-to-find bug, resolving a memory leak, or maximizing system performance, MULTI consistently works. Every feature of our revolutionary Debugger is designed to quickly solve problems that stump traditional tools. It often takes weeks or months to track down problems like inter-task corruptions, missed real-time requirements, and external hardware events. Green Hills' TimeMachine tool suite helps you solve the same problems in hours or even minutes. The TimeMachine tool suite automatically captures program execution data, combining the MULTI Debugger interface with innovative replay debugging capabilities.