DataCamp Workspace
DataCamp Workspace is a cloud-based data science notebook to analyze data, collaborate with others, and share insights — no installation required.
DataCamp Workspace vs JupyterLab:
a side-by-side comparison for 2024
Comparing two data science notebooks.
JupyterLab
JupyterLab is the next-generation web-based user interface for Project Jupyter.
DataCamp Workspace
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?
Jupyter-compatible
Jupyter-compatible
Programming languages
Programming languages
Jupyter languages (e.g. Python, R)
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 with Jupyter libraries (e.g. SQLAlchemy, psycopg2)
Connect to data warehouses (AWS, GCP, etc.)
Connect to databases (Postgres, MS SQL, etc.)
Provided file storage
Connect with Jupyter libraries (e.g. SQLAlchemy, psycopg2)
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
Jupyter data visualization (e.g. Matplotlib, Altair, Plotly)
Reactivity
Reactivity
No reactivity, you decide the execution order
No reactivity, you decide the execution order
No notebook scheduling
Notebook scheduling with additional tools
Management
Reproducibility
Reproducibility
Environments are reproducible by default
With effort, you can make reproducible environments
No version history
File-based (use Git)
Multiple editors at the same time
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