magic-filter
Decision gist · record as of 2026-08-14
Yes, if you need declarative filtering and are comfortable with dormant maintenance. The package is stable, has no dependencies, and carries permissive licensing. It is well-suited for attribute-based filtering tasks where readability matters more than active development. Do not expect bug fixes or new features.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Low friction installation with no runtime dependencies.
- Maintenance is dormant—last commit was 2023-09-25—so expect no active bug fixes or feature development, though the package is stable enough for existing use.
License · maintenance · safety
permissive license (permissive) — Licensed under MIT (permissive), so you can use, modify, and distribute it freely with minimal restrictions.
last release 2023-10-01 (1048 days) · last repo commit 2023-09-25 · 41 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 3,019,202 downloads/mo, #2,786 on PyPI
Alternatives
Verify before relying
pip install magic-filter
from magic_filter import F
filter_expr = F.name == 'example'
result = filter_expr.check({'name': 'example'})- Exact semantics and typical use patterns beyond 'dynamic attribute getter' are not detailed in the fact sheet.
- Whether this is primarily for data validation, query building, or both remains unclear from the excerpt.
- How the package is typically used in practice beyond the aiogram ecosystem.
What it is and what it does
magic-filter is a lightweight Python library that lets you build filters using dynamic attribute access and a fluent syntax. Instead of writing nested conditionals or lambda functions, you construct filter expressions by accessing attributes on a special filter object, then apply those expressions to check or filter data. The library has no runtime dependencies and supports Python 3.7 through 3.11.
The package is in alpha status and has been dormant since late 2023, so it is stable for existing use cases but should not be expected to receive active maintenance or new features. It carries permissive licensing and is commonly associated with the aiogram ecosystem.
Use it for
- Build declarative filters for message routing in Telegram bot handlers without writing nested conditionals.
- Validate object attributes against multiple conditions using a readable, expression-like syntax.
- Create reusable filter expressions that can be composed and applied to different data structures.
- Filter collections of objects by attribute values using a fluent API instead of list comprehensions.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need declarative filtering and are comfortable with dormant maintenance.
The package is stable, has no dependencies, and carries permissive licensing. It is well-suited for attribute-based filtering tasks where readability matters more than active development. Do not expect bug fixes or new features.
Install
magic-filter on PyPI
Before you install
Low friction installation with no runtime dependencies. Maintenance is dormant—last commit was 2023-09-25—so expect no active bug fixes or feature development, though the package is stable enough for existing use.
License in practice
Licensed under MIT (permissive), so you can use, modify, and distribute it freely with minimal restrictions.
Quickstart
pip install magic-filter
from magic_filter import F
filter_expr = F.name == 'example'
result = filter_expr.check({'name': 'example'})
Verify before relying
- Exact semantics and typical use patterns beyond 'dynamic attribute getter' are not detailed in the fact sheet.
- Whether this is primarily for data validation, query building, or both remains unclear from the excerpt.
- How the package is typically used in practice beyond the aiogram ecosystem.
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.7 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Dormant 1,048 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 3,019,202 / month, #2,786 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 3 - AlphaLicense :: OSI Approved :: MIT LicenseProgramming Language :: PythonProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Programming Language :: Python :: Implementation :: CPythonTopic :: UtilitiesTyping :: Typed |
Evidence: magic_filter-1.0.12-py3-none-any.whl
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