Notebooks & IDEs

6 tools

Visual Studio Code

Why I use it: The most popular editor for ML engineering. Jupyter notebooks, Python debugging, and remote SSH.

4.4
Kaggle

Why I use it: Free notebooks with GPU/TPU plus 200K+ datasets. Learn ML through competitions.

4.4
Deepnote

Why I use it: Modern collaborative notebooks with real-time editing and SQL integration. Google Docs for data science.

4.5
Paperspace Gradient

Why I use it: Free GPU notebooks with managed training and deployment. An alternative to Google Colab.

4.4
Google Colab

Why I use it: Free GPU-powered notebooks in the cloud. The quickest way to start training models.

4.2
JupyterLab

Why I use it: The industry-standard ML notebook. Every ML project starts in Jupyter.

4.6