Persist is a JupyterLab extension to enable persistent interactive visualizations in JupyterLab notebooks.
-
Updated
May 2, 2025 - TypeScript
#
provenance-tracking
Here are 14 public repositories matching this topic...
Efficiently design and manage flexible workflows with AiiDA, featuring an interactive GUI, checkpoints, provenance tracking, and remote execution capabilities.
-
Updated
Jul 27, 2025 - Python
A Library of UI Control Elements to Track and Dynamically Overlay Analytic Provenance
visualization dropdown provenance radio-buttons ui-components visualization-library slider-component range-slider-component input-text ui-controls multiselect-drodpdown visual-data-analysis analytic-provenance provenance-tracking
-
Updated
Jan 5, 2025 - TypeScript
Maintain an electronic lab book for computational research
-
Updated
Jul 27, 2025 - Python
Backend with the purpose of capturing data provenance and metadata of a preprocessing Pipeline
-
Updated
May 9, 2024 - Python
This repository collects the ongoing work towards the development of the ontology on common terms defined for the MDMC Joint Lab and NEP.
-
Updated
May 5, 2025 - JavaScript
An implementation of FA-SEAL: Forensically Analyzable Symmetric Encryption for Audit Logs.
-
Updated
Oct 20, 2024 - C
python ecommerce business-intelligence oracle-database audit-trail data-lineage streamlit provenance-tracking
-
Updated
Jul 25, 2025 - Python
Share Science with Sheets for Google Sheets™ (sCubed)
metadata google-sheets open-science scientific-visualization spreadsheets open-research apps-script fair-principles google-sheets-addon provenance-tracking
-
Updated
Jan 21, 2024
-
Updated
Feb 7, 2025 - CSS
Homepage of ProvenanceWidgets - A JavaScript Library of UI Controls for Tracking and Dynamically Overlaying Analytic Provenance
-
Updated
Nov 14, 2024 - TypeScript
A Showcase of Applications Developed using ProvenanceWidgets.
frontend analysis showcase applications provenance frontend-library provenance-tracking provenance-widgets
-
Updated
Nov 13, 2024 - TypeScript
Accelerated subgraph matching on provenance graphs
-
Updated
Jan 24, 2025 - Python
Inspired by dynamic taint tracking, PoisonSpot uses fine-grained training provenance tracker that: (1) tags & traces the impact of every single training sample on model updates, (2) probabilistically scores suspect samples based on their linage of impact on model weights, and (3) separates the clean from the poisonous before retraining a model.
adversarial-machine-learning machine-learning-security backdoor-attacks poisoning-attack aisec deep-learning-security backdoor-defense provenance-tracking backdoor-detection poisoning-defenses training-provenance-tracking
-
Updated
Jul 19, 2025 - Python
Improve this page
Add a description, image, and links to the provenance-tracking topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the provenance-tracking topic, visit your repo's landing page and select "manage topics."