# kofrasa/mingo

MongoDB query language for in-memory objects

Repository: https://github.com/kofrasa/mingo
Canonical: https://ross.abutalabs.com/products/mingo
Language: TypeScript
License: MIT
License Family: permissive
Last push: 2026-08-07T14:56:54+00:00

## Health v2 (maintenance only)
Score: 75/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 96, release rhythm 35, longevity 100
- inputs: {"age_days": 4725, "days_push": 26, "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 1038, forks 92 (observed 2026-08-28T04:03:19.786411+00:00)

## What it is
Mingo is a TypeScript library that implements the MongoDB query language for in-memory JavaScript objects. It supports queries, projections, aggregation pipelines, and update operations without requiring a database.

## Use cases
- filter arrays of objects with MongoDB-style queries
- run aggregation pipelines on in-memory data
- query JSON data in the browser without a server
- update collections of objects with MongoDB update operators
- transform and group data lazily with dot notation selectors

## When to choose
- you want MongoDB-like querying over local arrays or JSON without a database
- you need aggregation pipelines in Node.js or the browser
- you want a lightweight, dependency-free query engine for in-memory data

## When to avoid
- you need a real persistent database with indexes and concurrent access
- you need full MongoDB feature parity or server-side features
- you work outside the JavaScript/TypeScript ecosystem

## Facets
- artifact type: library
- maturity: active
- function: search-engine, data-science, parser
- domain: databases, data-science, developer-tools
- platform: browser, bun, cross-platform
- tags: mongodb-query-language, in-memory-objects, aggregation-pipeline, query-language, typescript, nodejs, deno

## Member repositories
- kofrasa/mingo (main) score 75

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:19.786411+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 2026-08-30T07:04:17.103712+00:00, confidence not recorded.
  - readme: https://github.com/kofrasa/mingo (fetched 2026-08-28T04:03:19.786411+00:00, sha 81d821562fad)
- Data as of 2026-08-30T08:39:29.467469+00:00.