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mongo-query-match

A utility library that provides a MongoDB-like query language for querying python collections. It's mainly intended to parse objects structured as fundamental types in a similar fashion to what is produced by JSON or YAML parsers.

With conditionsPyPI UtilitiesReleased Feb 2025182.0K downloads / moPure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — mongo_query_match-2.0.0-py3-none-any.whl
v2.0.0 · released 2025-02-02 · Python <4,>=3.9

Yes, if you need MongoDB query syntax for local Python collections and can accept dormant maintenance. No external dependencies and low friction make it safe to add. However, verify the license before use in proprietary contexts, and be aware that the package has not been updated in over a year—do not expect active bug fixes or new features.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python 3.9 or later (supports >=3.9,<4).
  • Low install friction with no runtime dependencies.
  • Package is marked dormant (558 days since release) with minimal maintenance activity.

License · maintenance · safety

(unclear) — License treatment is unclear—no SPDX identifier or raw license text is available. Verify the actual license before use in proprietary or restricted contexts.

last release 2025-02-02 (558 days)

0 known vulnerabilities (OSV.dev, 2026-08-14) · 181,970 downloads/mo, #10,109 on PyPI

Verify before relying

from mongo_query_match import Query

records = [{"a": 5}, {"a": 3}]
query = Query({"a": 3})
matched = [r for r in records if query.match(r)]
  • Whether the package is actively maintained or accepting bug reports despite dormant status.
  • Exact license terms—verify before using in commercial or restricted-license projects.
  • Performance characteristics when filtering large collections or deeply nested documents.
Same gist for agents: .md · .json

What it is and what it does

mongo-query-match is a standalone query engine that lets you write MongoDB-style queries to filter Python dictionaries and lists without connecting to a database. It parses query objects (dicts with operators like $eq, $regex, $elemMatch) and applies them to in-memory Python collections, following MongoDB version 3.4 query semantics. The library is intended for filtering JSON or YAML-like structured data—records with strings, numbers, booleans, nulls, and nested objects.

The package has no external dependencies and installs quickly. It supports most common MongoDB query operators but omits geospatial queries, text search, and projection operators. It's useful when you want MongoDB's expressive query syntax for local data processing, testing, or prototyping without database overhead.

Use it for

  • Filter test fixtures or mock data using MongoDB query syntax in unit tests.
  • Query JSON or YAML configuration files and data exports without loading them into a database.
  • Prototype query logic locally before migrating to a real MongoDB instance.
  • Build in-memory query layers for applications that need flexible filtering on structured data.
  • Match records against complex criteria in data pipelines or ETL workflows.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

With conditions

Yes, if you need MongoDB query syntax for local Python collections and can accept dormant maintenance.

No external dependencies and low friction make it safe to add. However, verify the license before use in proprietary contexts, and be aware that the package has not been updated in over a year—do not expect active bug fixes or new features.

Install

mongo-query-match on PyPI

Before you install

Low install friction with no runtime dependencies. Package is marked dormant (558 days since release) with minimal maintenance activity.

Requires Python 3.9 or later (supports >=3.9,<4).

License in practice

License treatment is unclear—no SPDX identifier or raw license text is available. Verify the actual license before use in proprietary or restricted contexts.

Quickstart

from mongo_query_match import Query

records = [{"a": 5}, {"a": 3}]
query = Query({"a": 3})
matched = [r for r in records if query.match(r)]

Verify before relying

  • Whether the package is actively maintained or accepting bug reports despite dormant status.
  • Exact license terms—verify before using in commercial or restricted-license projects.
  • Performance characteristics when filtering large collections or deeply nested documents.

Package facts

LicenseNot declared unclear
Python supportSupports the current Python release <4,>=3.9
Install frictionLow. Pure-Python wheel
Runtime dependenciesNone
MaintenanceDormant 558 days since the last release
First released
Downloads181,970 / month, #10,109 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 5 - Production/StableProgramming Language :: PythonProgramming Language :: Python :: 3Topic :: Utilities

Evidence: mongo_query_match-2.0.0-py3-none-any.whl

Tags

Capabilities
mongodb query language pythonfilter dictionaries with mongodb syntaxquery python collectionsmongodb-like matchingjson document filtering
Topics
query-languagedata-filteringmongodb-compatible
PyPI keywords
matchmongodbquery

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See also djongo · jsonquerylang · pymongo-search-utils · magic-filter · yaql · Flask-PyMongo · pydantic-mongo · pony · bc-jsonpath-ng · jq