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Provenance Tracking Python Packages

Python packages with the GitHub topic provenance-tracking. Sorted by relevance, with stars and monthly downloads.
aiidateam
aiida-workgraph

Efficiently design and manage flexible workflows with AiiDA, featuring an interactive GUI, checkpoints, provenance tracking, and remote execution capabilities.

5K 29 16
fariello
pubrun

Stupidly simple Python execution provenance for reproducible research

4K 0 0
Kisyntra
agent-sudo-mcp

Authorization, delegation, provenance, and verifiable-audit engine for AI agents. MCP adapter published.

3K 6 3
Zhonghao1995
aiswmm

Agentic SWMM is an automated, auditable, and memory-informed framework for reproducible stormwater modelling, integrating QGIS and EPA SWMM through the aiswmm runtime, reusable Skills, and MCP interfaces, with QA verification, provenance tracking, calibration support, and Codex, Hermes, Claude code as well as OpenClaw compatibility

3K 18 8
PierreSenellart
provsql-studio

Adding support for provenance and uncertainty management to PostgreSQL databases

1K 69 17
visdesignlab
persist-ext

Persist is a JupyterLab extension to enable persistent interactive visualizations in JupyterLab notebooks.

681 50 5
sensein
provsense

ProvSense is a Python library for managing knowledge graph provenance. It enables efficient comparison of files, tracking changes, and enforcing provenance rules to ensure data integrity and traceability. Ideal for researchers and developers, ProvSense promotes transparency and accountability in data-driven workflows.

328 0 0
kirangadhave
interactivede

A JupyterLab extension.

276 50 5
Zhonghao1995
agentic-swmm-workflow

Agentic SWMM is an automated, auditable, and memory-informed framework for reproducible stormwater modelling, integrating QGIS and EPA SWMM through the aiswmm runtime, reusable Skills, and MCP interfaces, with QA verification, provenance tracking, calibration support, and Codex, Hermes, Claude code as well as OpenClaw compatibility

263 18 8
alcrene
smttask

Maintain an electronic lab book for computational research

205 3 1
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