Python library to assess the responsibility level of AI models for integration into MLOps workflows.
Verified details
These details have been verified by PyPIProject links
GitHub Statistics
Maintainers
Project description
RAITAP is a Python library to assess the responsibility level of AI models. It is designed to be easily integrated into existing MLOps workflows.
It is a wrapper around existing XAI frameworks, which provides a consistent API, allowing you to easily switch your configuration, combine frameworks, and obtain consolidated outputs.
RAITAP currently assesses the following 2 responsible AI dimensions:
- Transparency
- Robustness
as defined in Towards the certification of AI-based systems and MLOps as enabler of trustworthy AI
Getting started
- as a consumer/user: consumer documentation
- as a contributor: contributor documentation
Showcase
 |
 |
| CLI run | Generated report |
Project details
Verified details
These details have been verified by PyPIProject links
GitHub Statistics
Maintainers
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file raitap-0.13.0.tar.gz.
File metadata
- Download URL: raitap-0.13.0.tar.gz
- Upload date:
- Size: 367.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.13.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c6059b49faca920fa1863999f411ac8882a54ea59ed80dab3f2558f4ab74478c
|
|
| MD5 |
2214c0dbda3731fdf73df74910388f87
|
|
| BLAKE2b-256 |
e326308aba97c4b1b080473c40b6adcabc889e7ed3dcf9db7f359e3afc7ded2c
|
Provenance
The following attestation bundles were made for raitap-0.13.0.tar.gz:
Publisher:
release-please.yml on CAIIVS/raitap
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
raitap-0.13.0.tar.gz -
Subject digest:
c6059b49faca920fa1863999f411ac8882a54ea59ed80dab3f2558f4ab74478c - Sigstore transparency entry: 1695049264
- Sigstore integration time:
-
Permalink:
CAIIVS/raitap@44eedf4c1090cb718adc57878f96b62a9f0d59f1 -
Branch / Tag:
refs/heads/main - Owner: https://github.com/CAIIVS
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
release-please.yml@44eedf4c1090cb718adc57878f96b62a9f0d59f1 -
Trigger Event:
push
-
Statement type:
File details
Details for the file raitap-0.13.0-py3-none-any.whl.
File metadata
- Download URL: raitap-0.13.0-py3-none-any.whl
- Upload date:
- Size: 453.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.13.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
427e2ae8544218ad3a6365706b5ecf7ff668af44c0b94beafec8cc23c72fa80a
|
|
| MD5 |
2aa572b83953fe24a66237c98f8c6c9a
|
|
| BLAKE2b-256 |
6d467f79b03b07b9748a2b61e08de150f49628f67e78429ceae2aec3e7e6a6ac
|
Provenance
The following attestation bundles were made for raitap-0.13.0-py3-none-any.whl:
Publisher:
release-please.yml on CAIIVS/raitap
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
raitap-0.13.0-py3-none-any.whl -
Subject digest:
427e2ae8544218ad3a6365706b5ecf7ff668af44c0b94beafec8cc23c72fa80a - Sigstore transparency entry: 1695049595
- Sigstore integration time:
-
Permalink:
CAIIVS/raitap@44eedf4c1090cb718adc57878f96b62a9f0d59f1 -
Branch / Tag:
refs/heads/main - Owner: https://github.com/CAIIVS
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
release-please.yml@44eedf4c1090cb718adc57878f96b62a9f0d59f1 -
Trigger Event:
push
-
Statement type:
