# etianen/django-watson

Full-text multi-table search application for Django. Easy to install and use, with good performance.

Repository: https://github.com/etianen/django-watson
Canonical: https://ross.abutalabs.com/products/django-watson
Language: Python
License: BSD-3-Clause
License Family: permissive
Last push: 2024-08-14T11:09:08+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 5492, "days_push": 749, "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 1249, forks 129 (observed 2026-08-28T04:04:07.979442+00:00)

## What it is
django-watson is a full-text multi-table search plugin for Django that indexes multiple models and returns relevance-ranked results. It requires no additional third-party services and is easy to install and use.

## Use cases
- add full-text search across multiple Django models
- search a Django site without running Elasticsearch or Solr
- rank search results by relevance in Django
- build a site-wide search box over several database tables
- add search to an existing Django app with minimal setup

## When to choose
- you use Django and need multi-model full-text search
- you want search without deploying external search infrastructure
- you need relevance-ordered results from PostgreSQL, MySQL, or SQLite

## When to avoid
- you need advanced search features like faceting or typo tolerance
- your project is not Django-based
- you need massive-scale search beyond what database full-text indexing handles

## Facets
- artifact type: library
- maturity: stable
- function: search-engine
- domain: web-development, backend
- platform: python
- tags: django, full-text-search, multi-table-search, relevance-ranking, search

## Member repositories
- etianen/django-watson (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:07.979442+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 2026-08-30T05:07:47.483360+00:00, confidence not recorded.
  - readme: https://github.com/etianen/django-watson (fetched 2026-08-28T04:04:07.979442+00:00, sha 3515e9792a1f)
  - registry_pypi: https://pypi.org/pypi/django-watson/json (fetched 2026-08-29T12:18:49.958545+00:00, sha cec12dfa00c3)
- Data as of 2026-08-30T08:39:29.467469+00:00.