A Python library for W3C Provenance Data Model (PROV)
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Updated
Oct 28, 2026 - Python
A Python library for W3C Provenance Data Model (PROV)
W3C PROV provenance documents in TypeScript - typed authoring plus PROV-JSON/PROV-N round-tripping
Block-based note editor with PROV-DM provenance tracking — built on BlockNote.js
External witness for autonomous multi-agent AI systems: signed readiness seal, choke-point capture, and PROV-DM causal graphs for post-incident reconstruction
ISO 9001:2015 / Agile V / W3C PROV-DM Quality Pipeline, Anti-Tamper HMAC Guardrails, MCP Server & Benchmark Suite for Multi-Agent Systems
5L-TEP Layer 4 (Observability & Provenance) applied to the Recife open data portal: another instance of 5ltep-layer4 (cross-context application case)
5L-TEP Layer 4 (Observability & Provenance) applied to the ANEEL open data portal: another instance of 5ltep-layer4 (cross-context application case)
PHP implementation of the W3C Provenance Data Model (PROV-DM). Build provenance graphs (entities, activities, agents), serialize to PROV-JSON / PROV-N / PROV-XML / PROV-JSONLD, and validate against PROV-CONSTRAINTS.
To associate your repository with the prov-dm topic, visit your repo's landing page and select "manage topics."