# quantopian/qgrid

An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks

Repository: https://github.com/quantopian/qgrid
Canonical: https://ross.abutalabs.com/products/qgrid
Language: Python
License: Apache-2.0
License Family: permissive
Last push: 2024-01-12T07:28:07+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 4355, "days_push": 964, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3083, forks 418 (observed 2026-08-28T04:07:42.002362+00:00)

## What it is
Qgrid is a Jupyter notebook widget that renders pandas DataFrames as an interactive grid using SlickGrid. It supports intuitive scrolling, sorting, filtering, and in-place cell editing directly within notebooks.

## Use cases
- explore pandas dataframes interactively in jupyter
- sort and filter dataframe rows in a notebook
- edit dataframe cells by double clicking
- browse large datasets with scrolling grid in jupyterlab
- inspect changed dataframe values after edits

## When to choose
- you work in Jupyter notebooks and want spreadsheet-like interaction with pandas DataFrames
- you need quick visual exploration, sorting, and filtering of tabular data without writing code
- you want to hand-edit small DataFrames interactively

## When to avoid
- you need a maintained project - development has largely stalled and it may lag newer Jupyter/pandas versions
- you need production dashboards rather than notebook exploration
- you work outside Jupyter or with non-pandas data sources

## Facets
- artifact type: library
- maturity: maintenance
- function: data-visualization, ui-components
- domain: data-science, developer-tools, data-visualization
- platform: python
- tags: jupyter-widgets, pandas, dataframe, slickgrid, interactive-grid, jupyter

## Member repositories
- quantopian/qgrid (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:42.002362+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:46:30.882163+00:00, confidence not recorded.
  - readme: https://github.com/quantopian/qgrid (fetched 2026-08-28T04:07:42.002362+00:00, sha 4c7bd0bcb2e2)
  - registry_pypi: https://pypi.org/pypi/qgrid/json (fetched 2026-08-29T09:42:56.875630+00:00, sha 6e8e81be665b)
- Data as of 2026-08-30T08:39:29.467469+00:00.