Skip to main content

opencomplai

License: AGPL-3.0 PyPI Python

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 — the opencomplai command-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)

Source distribution for opencomplai 0.13.1
File Size Uploaded
opencomplai-0.13.1.tar.gz 10.0 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for opencomplai 0.13.1
File Interpreter ABI Platform
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
a1c505f468368c88c4380e98759c6f1c0d535e6e39d26c2fa7369554d977c373
BLAKE2b-256 checksum
How to use checksums
0b7b0a8fd7d20ca9298fbe29377f4b429f61d22d692d732f89461e5e1bb16a98
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

Release 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

Release history Release notifications | RSS feed

This release

0.13.1 This release

2 release files

0.13.0

2 release files

0.12.0

2 release files

0.11.1

2 release files

0.11.0

2 release files

0.10.0

2 release files

0.9.2

2 release files

0.9.1

2 release files

0.9.0

2 release files

0.8.0

2 release files

0.7.1

2 release files

0.7.0

2 release files

0.6.0

2 release files

0.5.0

2 release files

0.4.0

2 release files

0.3.0

2 release files

0.1.2

2 release files

0.1.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page