nteract
nteract is an open-source organization committed to creating fantastic interactive computing experiences that allow people to collaborate with ease.
nteract vs Observable:
a side-by-side comparison for 2024
Comparing two data science notebooks.
Observable
Make sense of the world with data, together. Explore, visualize, and analyze data. Collaborate with the community. Learn and be inspired. Share insights with the world.
nteract
Observable
Setup
No, you must host it yourself
Fully managed (setup in minutes)
Can you self-host?
Can you self-host?
You can self-host (setup in minutes)
No, you must use a managed offering
Features
Is it Jupyter compatible?
Is it Jupyter compatible?
Jupyter-compatible
Not Jupyter-compatible
Programming languages
Programming languages
Jupyter languages (e.g. Python, R)
JS
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 JS libraries (e.g. REST APIs)
Connect to databases (MySQL, Postgres)
Connect to data warehouses (BigQuery, Snowflake)
Provided file storage
What kind of data visualization can you do?
What kind of data visualization can you do?
Jupyter data visualization (e.g. Matplotlib, Altair, Plotly)
JS data visualization (e.g. D3, Vega)
Reactivity
Reactivity
No reactivity, you decide the execution order
Full, realtime reactivity
Notebook scheduling with additional tools
No notebook scheduling
Management
Reproducibility
Reproducibility
With effort, you can make reproducible environments
Environments are reproducible by default
Execution is reproducible by default
File-based (use Git)
Version history is built in
File-based (use Git)
Multiple editors at the same time
Comments
Comments
File-based (use GitHub)
Comment on items within a notebook
Notebook organization
Notebook organization
File-based
View notebooks in a list
Licensing
License
License
Open-source (BSD 3-Clause)
Proprietary
Price
Price
Free
Free tier
Free trial (1 month)
Pay-per-user