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Canonical Hash

Deterministic hashing for arbitrary Python objects.

Provides utilities for creating stable, deterministic hashes of Python objects, essential for cache key computation, data versioning, and reproducibility.

Usage

from scicanonicalhash import canonical_hash, generate_record_id

# Hash any supported Python object
h = canonical_hash(42)
h = canonical_hash([1, 2, 3])
h = canonical_hash({"key": "value"})

# Generates a 16-character hex string (first 64 bits of SHA-256)
assert len(h) == 16
assert canonical_hash(42) == canonical_hash(42)  # Deterministic

Supported Types

  1. JSON-serializable primitives (None, bool, int, float, str)
  2. numpy ndarrays (via shape + dtype + raw bytes)
  3. pandas DataFrames (via columns + index + array serialization)
  4. pandas Series (via name + array serialization)
  5. Dicts (sorted keys, recursive serialization)
  6. Lists/tuples (order-preserving, recursive serialization)

generate_record_id

Generate a unique record ID from type, schema version, content hash, and metadata:

rid = generate_record_id("MyData", 1, "abc123", {"subject": 1})

Metadata

Release files for scicanonicalhash 0.1.37

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for scicanonicalhash 0.1.37
File Size Uploaded Provenance
scicanonicalhash-0.1.37.tar.gz 7.0 kB With provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for scicanonicalhash 0.1.37
File Interpreter ABI Platform
scicanonicalhash-0.1.37-py3-none-any.whl Python 3 none any Details

Total release size: 14.2 kB

Release files / scicanonicalhash-0.1.37.tar.gz

Download URL scicanonicalhash-0.1.37.tar.gz
Size 7.0 kB
Tags Source
SHA-256 checksum
How to use checksums
443831178687e1f107f67e2ae5eb7afab8f65789921de7fb7eec0e04c64f17da
BLAKE2b-256 checksum
How to use checksums
92de76d088ff3cdfed3cef6240420ca85b45363a9d3c7fefee9f72d0861312f3
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Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

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Signed by GitHub Actions, verified by PyPI on Oct 15, 2026.

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Release files / scicanonicalhash-0.1.37-py3-none-any.whl

Download URL scicanonicalhash-0.1.37-py3-none-any.whl
Size 7.2 kB
Tags Python 3
SHA-256 checksum
How to use checksums
fb4256d3a14c63b3aaba9c3eae1f519b0de3f797acc9f886bed5f330f7aeaea3
BLAKE2b-256 checksum
How to use checksums
7c629b3a6914a953f22213bc3dc71d457df76da3981bfad8bba3a009d4dc0ee4
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

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Signed by GitHub Actions, verified by PyPI on Oct 15, 2026.

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Security for scicanonicalhash 0.1.37

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Attestation for scicanonicalhash-0.1.37.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 Oct 15, 2026.

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0.1.37 This release

2 release files Full provenance

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