Venturalitica SDK
VenturaliticaThe Venturalitica SDK brings compliance checks into model training: it maps controls to EU AI Act articles 9 to 15, gathers evidence such as data lineage, metrics and a bill of materials during a run, and writes it as OSCAL. Checks run locally by default, with an optional strict mode for CI pipelines. It accompanies a 2026 preprint on machine-readable compliance evidence.
Tagged self-attested: the OSCAL output validates against a public schema, but its content is collected by the operator.
Openness
5 high confidence- license
- Apache-2.0(OSI)
- source
- public
- core features withheld
- no
The SDK is published under Apache-2.0, and the vendor commits to keeping it free and open source; its planned cloud platform for teams is a separate product.
- https://cdn.jsdelivr.net/gh/Venturalitica/venturalitica-sdk@main/LICENSE recorded 2026-09-26
Apache License, Version 2.0, full text
- https://cdn.jsdelivr.net/gh/Venturalitica/venturalitica-sdk@main/README.md recorded 2026-09-26
"The SDK will always remain free and open-source under Apache 2.0. The cloud platform will offer additional enterprise features for teams managing EU AI Act and ISO 42001 compliance at scale."
- https://ungh.cc/repos/Venturalitica/venturalitica-sdk/files/main recorded 2026-09-26
Full file listing, 337 paths; no ee/, enterprise/, commercial/ or proprietary/ directory
Adoption
1 medium confidencePyPI downloads of venturalitica, the product's own package, measure its use.
- https://pypistats.org/api/packages/venturalitica/recent recorded 2026-09-26
last_month downloads = 408 for venturalitica
Capability
3 medium confidenceIts evidence is written to OSCAL under a published contract, so an auditor can validate it with independent tools. The evidence is gathered by the operator and not signed, two steps below NVIDIA's hardware attestation.
- https://cdn.jsdelivr.net/gh/Venturalitica/venturalitica-sdk@main/README.md recorded 2026-09-26
"Built on the OSCAL (Open Security Controls Assessment Language) standard"; "Sequential regulatory mapping (Art 9-15)"; companion to the preprint "Making AI Compliance Evidence Machine-Readable"
Verified 2026-09-26