maxandrews/Epstein-doc-explorer
a graph explorer of the Epstein emails
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
The project lists 1 contributor on GitHub.
Peaked at #88 in the weekly ranking the week of Feb 8, its best in the past year.
Use Cases & Benefits
- Analyzes legal documents to extract entities and relationships, visualizing them as an interactive knowledge graph.
- Combines AI-powered extraction with semantic clustering and entity deduplication for detailed, structured insights from complex document corpora.
- Use for exploring and understanding complex actor relationships in large legal or investigative document sets.
- Use for building interactive visualizations of entity networks with filtering by semantic clusters and temporal data.
- Use for incremental analysis and real-time querying of evolving document collections with performance-optimized backend support.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
MIT
Permissive: commercial use, modification and redistribution are allowed with attribution.
Community files
- README: present
Watch-outs
- No commits in the last six months (last push Nov 2025).
- Owned by an individual account with a single contributor on GitHub; plan for bus-factor risk.
- No GitHub releases; pin a commit or tag instead of a release.
General guidance from repository metadata, not legal advice. How we score
From the README
Note: Additional documents are currently being processed and added to the network. The analysis pipeline is actively ingesting newly released documents from the House Oversight Committee.
An intelligent document analysis and network visualization system that processes legal documents to extract relationships, entities, and events, then visualizes them as an interactive knowledge graph.
This project analyzes the Epstein document corpus to extract structured information about actors, actions, locations, and relationships. It uses Claude AI for intelligent extraction and presents findings through an interactive network visualization interface.
Source documents are available here: https://drive.google.com/drive/folders/1ldncvdqIf6miiskDp_EDuGSDAaI_fJx8 and here: https://huggingface.co/datasets/tensonaut/EPSTEIN_FILES_20K/tree/main special thanks to u/tensonaut for extracting the image files with tesseract!
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
109-1
Open issues
11+0
Compared with peers in Web
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| pingdotgg/t3code | 48.4K | +16.6K | 40 | today |
| pbakaus/impeccable | 104.0K | +8.7K | 54 | 10 days ago |
| HunYiSage/dsh-purge | 19.2K | +6.2K | 13 | today |
| Renhuai123/ziwei-doushu | 16.2K | +6.1K | 44 | 21 days ago |
| paperclipai/paperclip | 111.5K | +2.8K | 59 | 13 days ago |
| maxandrews/Epstein-doc-explorer | 598 | — | 6 | — |
| Category median | 48.4K | +6.2K | 44 | — |
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