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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 0.1.40

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 0.1.40
File Size Uploaded Provenance
scicanonicalhash-0.1.40.tar.gz 7.0 kB With provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for scicanonicalhash 0.1.40
File Interpreter ABI Platform
scicanonicalhash-0.1.40-py3-none-any.whl Python 3 none any Details

Total release size: 14.2 kB

Release files / scicanonicalhash-0.1.40.tar.gz

Download URL scicanonicalhash-0.1.40.tar.gz
Size 7.0 kB
Tags Source
SHA-256 checksum
How to use checksums
627c8fe1f090bd985634ef0744dc848b71024b85529fb15545d75f34b92d4279
BLAKE2b-256 checksum
How to use checksums
37b28ecd8e4e0a4e4011eda579a5131758b5731d84d27f210e6dcf7c1f6f5203
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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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PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 17, 2026.

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Release files / scicanonicalhash-0.1.40-py3-none-any.whl

Download URL scicanonicalhash-0.1.40-py3-none-any.whl
Size 7.2 kB
Tags Python 3
SHA-256 checksum
How to use checksums
b78204b3fec391922d7a38dc83e4f0084b6e5b99e557c459a23dbf48fcb7591b
BLAKE2b-256 checksum
How to use checksums
3702fa2e07620eae6fb0fb655b02ff5c2b0a0e337ca4d3ba88bce0eb3feafe44
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 17, 2026.

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Security for scicanonicalhash 0.1.40

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Attestation for scicanonicalhash-0.1.40.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 17, 2026.

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0.1.40 This release

2 release files Full provenance

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