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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 0.1.51

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 0.1.51
File Size Uploaded Provenance
scicanonicalhash-0.1.51.tar.gz 7.1 kB With provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for scicanonicalhash 0.1.51
File Interpreter ABI Platform
scicanonicalhash-0.1.51-py3-none-any.whl Python 3 none any Details

Total release size: 14.2 kB

Release files / scicanonicalhash-0.1.51.tar.gz

Download URL scicanonicalhash-0.1.51.tar.gz
Size 7.1 kB
Tags Source
SHA-256 checksum
How to use checksums
47150aabffcc4a381349b5288e65e6756564b95b8e248374f89b1505515cfe6e
BLAKE2b-256 checksum
How to use checksums
b922746d0a79496a2f2eac5b2622de0d9b214d1f05a96e071dc245e11dc06210
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.16

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Signed by GitHub Actions, verified by PyPI on Oct 21, 2026.

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Release files / scicanonicalhash-0.1.51-py3-none-any.whl

Download URL scicanonicalhash-0.1.51-py3-none-any.whl
Size 7.2 kB
Tags Python 3
SHA-256 checksum
How to use checksums
3356e8cd4fc4bd9f3d06e16e2db8aa43083e5b0b3da2f707172ccd0c3d6d0ee7
BLAKE2b-256 checksum
How to use checksums
abb3fc4c16ed44c4ffc00c02682b33343938020289449d32d1ce0cf0b85b43cf
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.16

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.

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PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 21, 2026.

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Security for scicanonicalhash 0.1.51

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Attestation for scicanonicalhash-0.1.51.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 21, 2026.

Transparency log

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This release

0.1.51 This release

2 release files Full provenance

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