scio
Confidence scores for Neural Networks, made easy!
“scio me nihil scire”
# Install from PyPI
pip install scio
Demo 🎮
Documentation 📖
The full documentation can be found here. You may learn more about scio, get started and follow tutorials, or specifically browse API references and scientific literature references.
Citing scio 🎓
If our library contributed to your research or project, please consider citing it. For convenience, we provide the following BibTeX entry for the entire code base.
@software{ThalesGroup/scio,
title = {scio: {C}onfidence scores for {N}eural {N}etworks, made easy!},
author = {Élie Goudout, the Thales scio team and the scio community},
url = {github.com/ThalesGroup/scio},
doi = {10.5281/zenodo.17160013},
year = {2025}
}
To reference a particular release, get the DOI here.
Contributing 💫
Questions, issues, discussions and pull requests are welcome! Read our contributing guide and join our team of contributors ✨
Star history ⭐
License ⚖️
This package is distributed under the MIT license. The use of NVIDIA proprietary modules (for GPU acceleration) is optional.
2 maintainers
Metadata
2 maintainers
Release files for scio 1.1.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| scio-1.1.1.2.tar.gz | 67.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| scio-1.1.1.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 157.1 kB
Release files / scio-1.1.1.2.tar.gz
| Download URL | scio-1.1.1.2.tar.gz |
|---|---|
| Size | 67.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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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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Transparency logRelease files / scio-1.1.1.2-py3-none-any.whl
| Download URL | scio-1.1.1.2-py3-none-any.whl |
|---|---|
| Size | 89.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| 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 Sep 17, 2026.
Transparency log
