CoCalc
Your best choice for teaching remote scientific courses.
CoCalc vs Husprey:
a side-by-side comparison for 2024
Comparing two data science notebooks.
Husprey
Husprey provides a SQL data workspace designed for Data Analytics teams. Collaborate, analyze and share within your data team and with Business teams.
CoCalc
Husprey
Setup
Fully managed (setup in minutes)
Fully managed (setup in minutes)
Can you self-host?
Can you self-host?
You can self-host (setup in hours)
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)
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)
Provided file storage
Connect to data warehouses (Google BigQuery, ClickHouse, etc.)
Connect to databases (PostgreSQL)
What kind of data visualization can you do?
What kind of data visualization can you do?
Jupyter data visualization (e.g. Matplotlib, Altair, Plotly)
UI for building charts
Reactivity
Reactivity
No reactivity, you decide the execution order
Unknown
No notebook scheduling
Notebook scheduling is built in
Management
Reproducibility
Reproducibility
Environments are reproducible by default
Unknown
Version history is built in
Version history is built in
Multiple editors at the same time
Multiple editors, one at a time (asynchronous)
Comments
Comments
No support for comments
Comment on items within a notebook
Notebook organization
Notebook organization
View notebooks in a list
View notebooks in a list
Licensing
License
License
Open-source (GNU AGPLv3)
Proprietary
Price
Price
Free tier
Pay for compute
Free tier
Pay-per-user