Object Filtering
A Python module for determining whether arbitrary Python objects meet a set of defined criteria. Filters use JSON to represent a set of criteria that objects must meet. Filters can be arbitrarily nested and can contain conditional logic.
See /docs/filter_specifications.md for details on filter implementation.
Installation Options
pip install object_filtering.- Download the latest version of
object_filteringfrom the Releases tab on GitHub and install the wheel (.whl).
Building From Source
- Clone this repository.
- Install the Python modules
build,wheel,hatchling, andhatch-requirements-txt. - (Optional) Make modifications to the source code.
- (Optional) Change the module version in
pyproject.toml. - Run
pytestfrom the root of the repository to run unit tests. Only continue if all tests pass. - Build the module by running
py -m buildfrom the root of the repository.
License
(c) 2026 Scott Ratchford.
object_filtering is licensed under the MIT License. See LICENSE.txt for details.
1 maintainer
Release files for object-filtering 0.4.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| object_filtering-0.4.1.tar.gz | 46.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| object_filtering-0.4.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 60.4 kB
Release files / object_filtering-0.4.1.tar.gz
| Download URL | object_filtering-0.4.1.tar.gz |
|---|---|
| Size | 46.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
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Provenance
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Transparency logRelease files / object_filtering-0.4.1-py3-none-any.whl
| Download URL | object_filtering-0.4.1-py3-none-any.whl |
|---|---|
| Size | 13.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
e347cc9b1e46a5b9573734d9e2938ea9bdb08ebb8e7574bd2e08884e058ed401
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Mar 25, 2026.
Transparency log
