# ivelum/djangoql

Advanced search language for Django

Repository: https://github.com/ivelum/djangoql
Canonical: https://ross.abutalabs.com/products/djangoql
Language: Python
License: MIT
License Family: permissive
Last push: 2026-01-27T03:42:34+00:00

## Health v2 (maintenance only)
Score: 61/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 64, release rhythm 35, longevity 100
- inputs: {"age_days": 3451, "days_push": 218, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1137, forks 95 (observed 2026-08-28T04:03:43.824668+00:00)

## What it is
DjangoQL is a Python library that adds an advanced query language to Django, supporting logical operators, parentheses, and relation joins, with an auto-completing search widget. It integrates directly into the Django admin via a ModelAdmin mixin and can also be used outside the admin.

## Use cases
- add advanced structured search to Django admin
- let users filter models with boolean logic and joins
- add autocomplete to admin search box
- query Django models with a SQL-like syntax
- offer both standard and advanced search modes in admin

## When to choose
- you run Django admin and need powerful model filtering beyond search_fields
- you want a query language with auto-completion for non-technical users
- you need relation traversal in admin search

## When to avoid
- your project is not Django-based
- you only need simple keyword search
- you need full-text search across documents rather than structured model queries

## Facets
- artifact type: library
- maturity: active
- function: search-engine, parser, ui-components
- domain: web-development, databases, developer-tools
- platform: python
- tags: django, django-admin, query-language, autocomplete, admin-integration, search, web-server

## Member repositories
- ivelum/djangoql (main) score 61

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:43.824668+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 2026-08-30T06:36:16.607998+00:00, confidence not recorded.
  - readme: https://github.com/ivelum/djangoql (fetched 2026-08-28T04:03:43.824668+00:00, sha 86349f2b2df1)
  - registry_pypi: https://pypi.org/pypi/djangoql/json (fetched 2026-08-29T12:41:26.748770+00:00, sha 3d89631f67c4)
- Data as of 2026-08-30T08:39:29.467469+00:00.