mlstore
Dataset format specialied for Machine Learning with blosc2 backend and standardized metadata.
Installation
You can install mlstore via pip:
pip install mlstore
Usage
from mlstore import __version__
print(__version__)
Contributing
Contributions are welcome! Please open a pull request with clear changes and add tests when appropriate.
Issues
Found a bug or have a request? Open an issue at https://github.com/Karol-G/mlstore/issues.
License
Distributed under the MIT license. See LICENSE for details.
1 maintainer
Metadata
1 maintainer
Release files for mlstore 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mlstore-0.0.1.tar.gz | 3.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mlstore-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 6.9 kB
Release files / mlstore-0.0.1.tar.gz
| Download URL | mlstore-0.0.1.tar.gz |
|---|---|
| Size | 3.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Yes |
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twine/6.1.0 CPython/3.13.7
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Transparency logRelease files / mlstore-0.0.1-py3-none-any.whl
| Download URL | mlstore-0.0.1-py3-none-any.whl |
|---|---|
| Size | 3.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
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BLAKE2b-256 checksum How to use checksums |
872021d94091a4ba85399eb4ad76acc883346c0812462620845ab32ec98c0aa2
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Provenance
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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 Feb 2, 2026.
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