tff-core
Core rules and fitness functions engine for tff (Transformation Fitness Functions).
tff allows you to define and execute architectural layout boundaries, layer structure policies, schema contracts, and code formatting rules across data pipelines.
Documentation
For setup instructions, configurations, and adapter integration guides, please refer to the main tff repository.
Metadata
Release files for tff-core 0.23.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| tff_core-0.23.0.tar.gz | 243.8 kB | With provenance | Details for tff_core-0.23.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| tff_core-0.23.0-py3-none-any.whl | Python 3 | none | any | Details for tff_core-0.23.0-py3-none-any.whl |
Total release size: 401.1 kB
Release files / tff_core-0.23.0.tar.gz
| Download URL | tff_core-0.23.0.tar.gz |
|---|---|
| Size | 243.8 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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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
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twine/7.0.0 CPython/3.13.14
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Transparency logRelease files / tff_core-0.23.0-py3-none-any.whl
| Download URL | tff_core-0.23.0-py3-none-any.whl |
|---|---|
| Size | 157.3 kB |
| Tags | Python 3 |
|
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/7.0.0 CPython/3.13.14
|
Provenance
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Transparency logSecurity for tff-core 0.23.0
Provenance
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Full provenance
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Attestation for tff_core-0.23.0.tar.gz
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 Sep 29, 2026.
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