catherinedevlin/ipython-sql
%%sql magic for IPython, hopefully evolving into full SQL client observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 4914
- days_rel: n/a
- days_push: 782
- n_releases_24m: 0
Adoption not part of the score
1797 stars · 377 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
An IPython extension that adds %sql and %%sql cell magics for running SQL against databases via SQLAlchemy connection strings. It is now a legacy project superseded by the actively maintained JupySQL fork.
Use cases
- run sql queries from jupyter notebook cells
- query postgres from ipython
- connect to mysql in a notebook
- explore a database interactively in python
- load sql query results into python variables
When to choose
- you need a lightweight sql magic for an older ipython setup
- you want minimal dependencies for notebook database access
When to avoid
- starting a new project - use JupySQL instead
- you need actively maintained features or bug fixes
Facets
plugin · maturity maintenance
database database-driver developer-tools databases developer-tools data-science python cli ipython-magic jupyter sqlalchemy sql-client notebook
2 sources
- readme: https://github.com/catherinedevlin/ipython-sql · fetched 2026-08-28 · fc400e07c3fe
- registry_pypi: https://pypi.org/pypi/ipython-sql/json · fetched 2026-08-29 · c68a2cef6eba
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| catherinedevlin/ipython-sql | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="catherinedevlin/ipython-sql")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem