Husprey
WebsiteHusprey provides a SQL data workspace designed for Data Analytics teams. Collaborate, analyze and share within your data team and with Business teams.
Husprey vs JupyterLab:
a side-by-side comparison for 2024
Comparing two data science notebooks.
JupyterLab
WebsiteJupyterLab is the next-generation web-based user interface for Project Jupyter.
Husprey
JupyterLab
Setup
Fully managed (setup in minutes)
No, you must host it yourself
Can you self-host?
Can you self-host?
No, you must use a managed offering
You can self-host (setup in hours)
Features
Is it Jupyter compatible?
Is it Jupyter compatible?
Not Jupyter-compatible
Jupyter-compatible
Programming languages
Programming languages
SQL
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 to data warehouses (Google BigQuery, ClickHouse, etc.)
Connect to databases (PostgreSQL)
Connect with Jupyter libraries (e.g. SQLAlchemy, psycopg2)
What kind of data visualization can you do?
What kind of data visualization can you do?
UI for building charts
Jupyter data visualization (e.g. Matplotlib, Altair, Plotly)
Reactivity
Reactivity
Unknown
No reactivity, you decide the execution order
Notebook scheduling is built in
Notebook scheduling with additional tools
Management
Reproducibility
Reproducibility
Unknown
With effort, you can make reproducible environments
Version history is built in
File-based (use Git)
Multiple editors, one at a time (asynchronous)
File-based (use Git)
Experimental JupyterLab support
Comments
Comments
Comment on items within a notebook
File-based (use GitHub)
Notebook organization
Notebook organization
View notebooks in a list
File-based
Licensing
License
License
Proprietary
Open-source (BSD)
Price
Price
Free tier
Pay-per-user
Free