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Project Jupyter builds tools, standards, and services for many different use cases. This page has links to interactive demos that allow you to try some of our tools for free online, thanks to mybinder.org, a free public service provided by the Jupyter community.
WASM powered Jupyter running in the browser.
Colab is a hosted Jupyter Notebook service that requires no setup to use and provides free access to computing resources, including GPUs and TPUs. Colab is especially well suited to machine learning, data science, and education.
CoCalc is an online web service where you can run Jupyter notebooks right inside your browser. You can privately share your notebook with your project collaborators – all changes are synchronized in real-time. You no longer have to worry about setting up your Python environment, installing/updating/maintaining your libraries, or backing up files.
RunCode provides a Jupyter Notebooks online platform. Write, execute, and visualize code collaboratively using the Jupyter Online Compiler. We offer real-time Jupyter Editor options.
The document you are reading is not a static web page, but an interactive environment called a Colab notebook that lets you write and execute code. For example, here is a code cell with a short...
WASM powered Jupyter running in the browser.
Online Python Compiler. Python-Fiddle offers an online Python compiler so you can run your Python code directly from the online editor. Code is executed with Pyodide, a port of CPython to WebAssembly/Emscripten. Some functionality in Python may not be available or may not work as expected.
Use Jupyter Notebooks to explore the data, process it, and calculate your results, Discuss and collaborate with your research team, Write your research paper in a LaTeX document, Publish the datasets, your research code, and the PDF of your paper online, all hosted on CoCalc.
Learn Data Science with free online Jupyter Notebook on our platform. Our Jupyter Notebook environment offers an intuitive platform to create, analyze, and visualize data using Python, R, and more.
