github/codespaces-jupyter
Explore machine learning and data science with Codespaces
This is an online environment for anyone to quickly start experimenting with Python and Jupyter notebooks for data science or machine learning tasks. You provide your code and data, and it gives you a ready-to-use workspace without any setup. This is ideal for data scientists, analysts, or students who want to explore data or build models without configuring their local machine.
807 stars.
Use this if you need a quick, temporary, cloud-based environment to write and run Python code and Jupyter notebooks for data analysis or machine learning.
Not ideal if you require persistent storage for large datasets, complex production deployments, or highly customized software environments.
Stars
807
Forks
1,609
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Feb 18, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/github/codespaces-jupyter"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
marimo-team/marimo
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a...
Tanu-N-Prabhu/Python
This repository helps you learn Python and Machine Learning from scratch.
GeostatsGuy/PythonNumericalDemos
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine...
GoogleCloudPlatform/asl-ml-immersion
This repos contains notebooks for the Advanced Solutions Lab: ML Immersion
Snowflake-Labs/snowflake-demo-notebooks
Collection of Snowflake Notebook demos, tutorials, and examples