Kaggle Deepnote Setup Is it managed? Is it managed? Fully managed (setup in minutes)
Fully managed (setup in minutes)
Can you self-host? Can you self-host? No, you must use a managed offering
No, you must use a managed offering
Features
Is it Jupyter compatible? Is it Jupyter compatible?
Programming languages Programming languages Jupyter languages (e.g. Python, R)
Jupyter languages (e.g. Python, R)
What kind of data sources can you connect to? What kind of data sources can you connect to? Connect with Jupyter libraries (e.g. SQLAlchemy, psycopg2)
Connect with Jupyter libraries (e.g. SQLAlchemy, psycopg2)
Connect to data warehouses (AWS, GCP, etc.)
Connect to databases (Postgres, MongoDB, etc.)
What kind of data visualization can you do? What kind of data visualization can you do? Jupyter data visualization (e.g. Matplotlib, Altair, Plotly)
Jupyter data visualization (e.g. Matplotlib, Altair, Plotly)
Reactivity Reactivity No reactivity, you decide the execution order
Full, realtime reactivity
Notebook scheduling Notebook scheduling Limited scheduling capabilities
Notebook scheduling is built in
Management
Reproducibility Reproducibility Environments are reproducible by default
Environments are reproducible by default
Run notebooks in containers
Version history Version history Version history is built in
Version history is built in
Collaborative editing Collaborative editing No support for collaborative editors
Multiple editors at the same time
Comments Comments Comment on a notebook as a whole
Comment on items within a notebook
Notebook organization Notebook organization View notebooks in a tree, like a wiki
Licensing
License License
Price Price