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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 0.1.48

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 0.1.48
File Size Uploaded Provenance
scicanonicalhash-0.1.48.tar.gz 7.1 kB With provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for scicanonicalhash 0.1.48
File Interpreter ABI Platform
scicanonicalhash-0.1.48-py3-none-any.whl Python 3 none any Details

Total release size: 14.2 kB

Release files / scicanonicalhash-0.1.48.tar.gz

Download URL scicanonicalhash-0.1.48.tar.gz
Size 7.1 kB
Tags Source
SHA-256 checksum
How to use checksums
b17a6109239b829ffc355a6243924c6b2cfbbae470a2bccc473335ed89580039
BLAKE2b-256 checksum
How to use checksums
f4210b3afc40cbdea8a80e07ff7a0c379d25edcecb343ff50c257b70579c6aab
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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 20, 2026.

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Release files / scicanonicalhash-0.1.48-py3-none-any.whl

Download URL scicanonicalhash-0.1.48-py3-none-any.whl
Size 7.2 kB
Tags Python 3
SHA-256 checksum
How to use checksums
593f6e871acb364503cbe8e096fcb9821012d57e9edf7f31659dc6a270d77d1f
BLAKE2b-256 checksum
How to use checksums
6f8dc900c9afba39f130d483cef7f76fcc89631b97c1eaa8c0c7336ab0eec795
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.16

Provenance

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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 20, 2026.

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Security for scicanonicalhash 0.1.48

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Attestation for scicanonicalhash-0.1.48.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 20, 2026.

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This release

0.1.48 This release

2 release files Full provenance

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