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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 0.1.49

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 0.1.49
File Size Uploaded Provenance
scicanonicalhash-0.1.49.tar.gz 7.1 kB With provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for scicanonicalhash 0.1.49
File Interpreter ABI Platform
scicanonicalhash-0.1.49-py3-none-any.whl Python 3 none any Details

Total release size: 14.2 kB

Release files / scicanonicalhash-0.1.49.tar.gz

Download URL scicanonicalhash-0.1.49.tar.gz
Size 7.1 kB
Tags Source
SHA-256 checksum
How to use checksums
88d93dbc219bf81ab7b3b343e4b3501f0d6edf634dd529270953f88ec3bdc544
BLAKE2b-256 checksum
How to use checksums
9ebe12faffd323475824376c7f6062a9cf29c1a1410f8a0858b15ce2bec460d1
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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 21, 2026.

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Release files / scicanonicalhash-0.1.49-py3-none-any.whl

Download URL scicanonicalhash-0.1.49-py3-none-any.whl
Size 7.2 kB
Tags Python 3
SHA-256 checksum
How to use checksums
4052fd6694a17f257734007860514e9004eb6db1ce5f94f6f5bc582976d67669
BLAKE2b-256 checksum
How to use checksums
b01153e6cc45c50ca8e1598f63abc9153910c6874630086a84e4a193123661a5
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 21, 2026.

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Security for scicanonicalhash 0.1.49

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Attestation for scicanonicalhash-0.1.49.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.

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0.1.49 This release

2 release files Full provenance

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