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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 0.1.31

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 0.1.31
File Size Uploaded Provenance
scicanonicalhash-0.1.31.tar.gz 7.0 kB With provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for scicanonicalhash 0.1.31
File Interpreter ABI Platform
scicanonicalhash-0.1.31-py3-none-any.whl Python 3 none any Details

Total release size: 14.2 kB

Release files / scicanonicalhash-0.1.31.tar.gz

Download URL scicanonicalhash-0.1.31.tar.gz
Size 7.0 kB
Tags Source
SHA-256 checksum
How to use checksums
e798349f286b3ebc6069783939580fce6fea158f42c5047282e3b494ddbe0b44
BLAKE2b-256 checksum
How to use checksums
55c6705fcc250aac1bcace8914e7b93d7d3fff2513be610ee89878b1a82abf2a
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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 7, 2026.

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Release files / scicanonicalhash-0.1.31-py3-none-any.whl

Download URL scicanonicalhash-0.1.31-py3-none-any.whl
Size 7.2 kB
Tags Python 3
SHA-256 checksum
How to use checksums
bae2aec79ef120429899ecbf588cbdc7598ffc5f42ced15584a9810fc842c765
BLAKE2b-256 checksum
How to use checksums
c061f99d617dfcc30c4fd788b776281c69e2aa37b95d081ba9e891adc09eaee6
Upload date
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 7, 2026.

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Security for scicanonicalhash 0.1.31

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Attestation for scicanonicalhash-0.1.31.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 7, 2026.

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This release

0.1.31 This release

2 release files Full provenance

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