1 of 2 files were uploaded without provenance metadata. View details.
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
- JSON-serializable primitives (None, bool, int, float, str)
- numpy ndarrays (via shape + dtype + raw bytes)
- pandas DataFrames (via columns + index + array serialization)
- pandas Series (via name + array serialization)
- Dicts (sorted keys, recursive serialization)
- 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})
1 maintainer
Metadata
1 maintainer
Release files for scicanonicalhash 0.1.42
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Incomplete provenance
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| scicanonicalhash-0.1.42.tar.gz | 7.1 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| scicanonicalhash-0.1.42-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 14.2 kB
Release files / scicanonicalhash-0.1.42.tar.gz
Incomplete provenance
This file belongs to a release with incomplete provenance: while other files in this release have provenance metadata, this file does not.
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| Download URL | scicanonicalhash-0.1.42.tar.gz |
|---|---|
| Size | 7.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
172e33420900dc44fc2adc0d12d3104cc013165b5dc8a1727e4dc6e149ef6694
|
|
BLAKE2b-256 checksum How to use checksums |
247b15144fc99b34a2c64eaea6751c0c56c988d7722c55d71e015484f1a9ded5
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.11.11
|
Release files / scicanonicalhash-0.1.42-py3-none-any.whl
Incomplete provenance
This file belongs to a release with incomplete provenance: while this file has provenance metadata, other files in this release do not.
We recommend further investigation before installing this file. View details.
| Download URL | scicanonicalhash-0.1.42-py3-none-any.whl |
|---|---|
| Size | 7.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
f44863c4296f60ad773af0739903ecd46188bce1f253fe22f658bf07fdd8b5f2
|
|
BLAKE2b-256 checksum How to use checksums |
ccfd592e8674e8d71666aa8075fb13965a9e048dff012d4daac25fff5632b80f
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
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.
Transparency logSecurity for scicanonicalhash 0.1.42
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
Incomplete provenance
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Attestations for scicanonicalhash-0.1.42.tar.gz
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