Alternatives to Colab.google - Similar Sites & Competitors
colab.google
Google Colab lets you run Jupyter Notebooks in the cloud for free, offering easy access to GPUs and TPUs for machine learning, data science, and education.
Run Jupyter Notebooks with free GPUs in the cloud
Google Colab is a cloud-based platform where you can create and run Jupyter Notebooks without any setup. It gives you free access to powerful computing resources, including GPUs and TPUs, making it a great option for data science, machine learning, and exploring code.
Whether you're a student, educator, or developer, you can experiment with code, analyze data, and share your work easily. Everything runs in your browser, so you don't need to install anything or worry about managing hardware.
Colab also makes collaboration simple—share notebooks with others, access a library of resources, and jump right into projects with just a few clicks. It's designed to help you learn, prototype, and collaborate from anywhere.
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Google Colab lets you write and run Python code in your browser, with free access to GPUs, making it easy to collaborate and build machine learning projects.
Try Docker in your browser with an interactive playground that lets you experiment, learn, and practice using Docker—no installation needed.
Posit Cloud lets you create, share, and run data science projects in the cloud—no installation needed. Collaborate and code from any browser.
Explore a suite of R packages for modeling and machine learning built on tidyverse principles, with guides, documentation, and community support.
Deeplearning4j is a suite of deep learning tools for Java, letting you train models on the JVM and connect with Python, TensorFlow, and ONNX runtimes.
Lando lets you quickly set up instant development environments for any project, making it easy to start coding without manual setup or configuration.
Syzygy.ca offers Canadian scientists free access to Jupyter notebooks online, making it easy to run computations and collaborate on research projects.
Devfile.io offers an open standard for defining and sharing containerized development environments, making it easy to set up consistent dev setups anywhere.
Red Hat OpenShift Dev Spaces offers cloud-based Kubernetes development environments, making it easy for enterprise teams to code, build, and collaborate online.
CodeSandbox lets you code, collaborate, and prototype projects instantly in the cloud—all from your browser, on any device.
Gitpod offers a cloud-based development environment, letting you code instantly from any device without setup. Collaborate and work on projects online.
Launch a free, interactive Kubernetes playground in your browser to practice, experiment, and learn Kubernetes basics—no installation needed.
LocalStack lets you emulate cloud services on your laptop, so you can develop and test cloud apps locally with faster feedback and full control.
Project IDX offers a cloud-based workspace for full-stack app development with AI-powered tools and live previews—no local setup needed.
Ampt lets you quickly build, test, and manage JavaScript apps on AWS, with instant feedback and easy cloud setup for modern development teams.
Orion is a modern, open source web and cloud-based development environment where you can code, edit, and manage projects directly in your browser.
Laravel Herd offers a fast, native development environment for Laravel and PHP on macOS, making it easy to start building web apps right away.
Lens is a desktop IDE that makes managing Kubernetes clusters easy, giving you a powerful interface for cloud native development and operations.
StackBlitz lets you code and launch web apps instantly in your browser, with no setup required. Collaborate and build projects securely and quickly online.
Code, run, and host Python projects online with no setup. PythonAnywhere lets you build and launch Python apps directly from your browser.
Codeanywhere is a cloud-based code editor and AI-powered IDE, letting you code, collaborate, and deploy projects from your browser with no setup needed.
Work with Jupyter notebooks online, get smart code help for Python, SQL, R, and Scala, and easily collaborate and share results in the cloud.
Collaborate in real time on Jupyter Notebooks, code, LaTeX, and data science projects with shared cloud tools—no software install needed.
Onshape is a cloud-based CAD platform where you can design, edit, and collaborate on 3D models right from your browser—no downloads needed.
Odo lets you quickly build and iterate on container-based apps with support for Podman, Kubernetes, and OpenShift—all in a developer-friendly environment.
Launch and manage your own LAMP stack in the cloud, complete with tools and documentation to help you start building web applications quickly.
Explore fast artificial neural networks for rapid data processing, learning, and AI development. Ideal for those interested in machine learning and neural networks.
Explore research highlights and expert insights on machine learning and optimization, curated by MadryLab for those interested in the latest advancements.
Explore end-to-end machine learning operations, from model design to deployment, with guides and resources for building reliable ML-powered software.
Explore tslearn's official docs for Python tools that help you analyze and model time series data using machine learning, built on scikit-learn.
Worldwide Colab.google Alternatives
Open Roberta Lab lets you program robots online with simple drag-and-drop blocks, making it easy for anyone to learn coding using the NEPO language.
Plunker lets you create, edit, and share web projects online in your browser, making it easy to prototype, collaborate, and learn web development.
RunKit lets you prototype Node.js code in your browser with instant access to every npm package—no setup needed. Explore, share, and run JavaScript online.
Remix is a web-based IDE for developing, testing, and deploying Ethereum smart contracts—no installation needed, works right in your browser.
Koding lets you instantly set up, share, and manage cloud-based development environments, so you can spend less time configuring and more time coding.
Uffizzi lets you quickly build internal developer platforms with multi-tenant Kubernetes, offering self-service cloud environments for dev and testing.
Experiment with neural networks in your browser and see how machine learning works through interactive tools and real-time visualizations.
Explore an open-source resource hub for probabilistic machine learning, featuring books, tutorials, and code to help you learn and apply ML concepts.
Explore gplearn’s official docs for using genetic programming in Python with a scikit-learn style API, including guides, examples, and API references.
Platform.sh offers a cloud-based development environment for building, deploying, and managing web applications with streamlined workflows.
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