Jupyter vs Noteable: a side-by-side comparison for 2024
Comparing two data science notebooks.
Jupyter
Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. There's a number of vendors offering Jupyter notebooks as a managed service.
Noteable
Noteable is a collaborative notebook platform that enables teams to use and visualize data, together.
Jupyter
Noteable
Setup
Is it managed?
Is it managed?
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 hours)
You can self-host (setup in hours)
Features
Is it Jupyter compatible?
Is it Jupyter compatible?
Jupyter-compatible
Jupyter-compatible
Programming languages
Programming languages
Jupyter languages (e.g. Python, R)
Jupyter languages (e.g. Python, R)
SQL
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 databases (Trino, Snowflake, CockroachDB, PostgreSQL)
Connect to data warehouses (Amazon Redshift, Google BigQuery, Databricks)
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)
Jupyter data visualization (e.g. Matplotlib, Altair, Plotly)
UI for building charts
Reactivity
Reactivity
No reactivity, you decide the execution order
No reactivity, you decide the execution order
Notebook scheduling
Notebook scheduling
Notebook scheduling with additional tools
Notebook scheduling is built in
Notebook scheduling with additional tools
Management
Reproducibility
Reproducibility
With effort, you can make reproducible environments