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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 0.1.52

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 0.1.52
File Size Uploaded Provenance
scicanonicalhash-0.1.52.tar.gz 7.1 kB With provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for scicanonicalhash 0.1.52
File Interpreter ABI Platform
scicanonicalhash-0.1.52-py3-none-any.whl Python 3 none any Details

Total release size: 14.2 kB

Release files / scicanonicalhash-0.1.52.tar.gz

Download URL scicanonicalhash-0.1.52.tar.gz
Size 7.1 kB
Tags Source
SHA-256 checksum
How to use checksums
b8c0e722d11ea51daf5a2162d2fa7d203c1cad4278d78e8cc70608b3220d24e0
BLAKE2b-256 checksum
How to use checksums
f29bc7d3218cc2028089b8eecd30d0cbe05c60d2695367ed60d0282c24dd3301
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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 22, 2026.

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Release files / scicanonicalhash-0.1.52-py3-none-any.whl

Download URL scicanonicalhash-0.1.52-py3-none-any.whl
Size 7.2 kB
Tags Python 3
SHA-256 checksum
How to use checksums
da8c8355e2d6ee97f8ca2e253aeeab72b6294cbd4db9ee4b12fb98079db008e7
BLAKE2b-256 checksum
How to use checksums
239dd88f5f814080764e7333ceeabfb963f5842194544551e4b77946914f8d95
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 22, 2026.

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Security for scicanonicalhash 0.1.52

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Attestation for scicanonicalhash-0.1.52.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 22, 2026.

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This release

0.1.52 This release

2 release files Full provenance

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