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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 0.1.43

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 0.1.43
File Size Uploaded Provenance
scicanonicalhash-0.1.43.tar.gz 7.1 kB With provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for scicanonicalhash 0.1.43
File Interpreter ABI Platform
scicanonicalhash-0.1.43-py3-none-any.whl Python 3 none any Details

Total release size: 14.2 kB

Release files / scicanonicalhash-0.1.43.tar.gz

Download URL scicanonicalhash-0.1.43.tar.gz
Size 7.1 kB
Tags Source
SHA-256 checksum
How to use checksums
9e68e624caf717080a591665675e2e6066209e547aee480475562cd4b59505c0
BLAKE2b-256 checksum
How to use checksums
4854791fbf37b3224a8d3c2d233203cfaf8d36e11e43981e67d6d17d5f4bf64b
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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 19, 2026.

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Release files / scicanonicalhash-0.1.43-py3-none-any.whl

Download URL scicanonicalhash-0.1.43-py3-none-any.whl
Size 7.2 kB
Tags Python 3
SHA-256 checksum
How to use checksums
c70599ec2f78f5ae0d7f3a423b4cf5f5bf4ff011d25586d2d774c0987d6758b6
BLAKE2b-256 checksum
How to use checksums
aeaa516833a0ad574eaf76274381ffd7237d3b8bce33e031231586d63648fb88
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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PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 19, 2026.

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Security for scicanonicalhash 0.1.43

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Attestation for scicanonicalhash-0.1.43.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 19, 2026.

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This release

0.1.43 This release

2 release files Full provenance

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