opencomplai
The convenience meta-package for Opencomplai — AI compliance
for your AI systems: the EU AI Act, and a NIST AI RMF 1.0 view derived from the same
evidence. EU AI Act evaluated; NIST AI RMF derived (partial, unreviewed); ISO 42001 native pack, attestation-led (partial, unreviewed); DORA and EBA mapped only. Installing opencomplai gives you both the risk engine and the command-line
tool in one step.
Install
pip install opencomplai
This installs:
opencomplai-core— the deterministic, rule-based EU AI Act risk engine and code-corroboration scanner.opencomplai-cli— theopencomplaicommand-line tool.
Quick start
Command line
opencomplai init # scaffold a system-manifest.json
opencomplai scan # corroborate manifest against code
opencomplai check # run the compliance gate
Python SDK
from opencomplai import assess, AssessmentInput, ModelMetadata
result = assess(AssessmentInput(
model=ModelMetadata(
name="my-model",
version="1.0.0",
modality="text",
use_case="customer support chatbot",
deployment_context="production",
)
))
print(result.risk_level)
Public API re-exported from opencomplai: assess, AssessmentInput, ModelMetadata,
RiskLevel, RiskResult, RuleResult, ScanResult, ScanStatusArtifact, SystemManifest,
and, for assessing several frameworks side by side, evaluate_targets, resolve_targets,
FRAMEWORKS, FrameworkPack, FrameworkReport and GapReport.
Optional: AI intent plugin
For optional intent analysis of code callsites (it includes a deterministic matcher that needs no download; local GGUF
models need the [deep] extra), also install
opencomplai-ai:
pip install opencomplai-ai
opencomplai scan --ai-intent --ai-model codebert-onnx # deterministic matcher, no download
scan --propose uses the deterministic matcher unless you pass --ai-model. The
default model of scan --ai-intent is a local GGUF LLM and needs pip install 'opencomplai-ai[deep]'.
Documentation
Full guides, SDK reference, and the EU AI Act concepts at docs.opencomplai.com.
License
AGPL-3.0-only. See LICENSE.
Metadata
Release files for opencomplai 0.13.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| opencomplai-0.13.1.tar.gz | 10.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| opencomplai-0.13.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 15.6 kB
Release files / opencomplai-0.13.1.tar.gz
| Download URL | opencomplai-0.13.1.tar.gz |
|---|---|
| Size | 10.0 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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|
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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 / opencomplai-0.13.1-py3-none-any.whl
| Download URL | opencomplai-0.13.1-py3-none-any.whl |
|---|---|
| Size | 5.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
0fccc6afcc376bd01f165f9389662f48c3cab98390705e7a9efaeb013d6585a4
|
|
BLAKE2b-256 checksum How to use checksums |
5883f0b8a3cb093a0c7a33218554ba32943ca4446af16116f1d271b45876a40c
|
| 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 14, 2026.
Transparency log