LMSBAND

LMSBAND / epstein-files-db

Public

Searchable database of DOJ Epstein EFTA files with relationship graph, full-text search, and brute-force audit methodology

23
1
100% credibility
Found Feb 03, 2026 at 12 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A local web app for interactively exploring, searching, and visualizing relationships in a database of publicly released U.S. Department of Justice Epstein files.

How It Works

1
🔍 Discover the Explorer

You hear about the recent release of Epstein files from the government and find this free tool to explore them easily.

2
📥 Grab the Database

Download the ready-made collection of files and info (about 800MB) from the project's release page and save it in a folder.

3
🚀 Launch the Explorer

Start the simple app on your computer, and it opens in your web browser like a regular website.

4
🌐 See the Connection Map

Watch an interactive graph light up showing people linked together based on who appears in the same documents, with big names like Epstein and others highlighted.

5
Pick Your Search
👤
Person Search

Type a name and discover who they connect with, shared documents, and text snippets.

📄
Full-Text Hunt

Search any phrase across millions of pages of extracted text from every file.

6
📊 Dive into Details

Click on people or files to read snippets, see full texts, and check stats on mentions and links.

✅ Uncover Insights

You now have a clear view of relationships, searches, and even the method behind collecting these public files, all from your own computer.

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Star Growth

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AI-Generated Review

What is epstein-files-db?

This Python Streamlit app turns the DOJ's Epstein files (Datasets 8-11) into a searchable database epstein files db, complete with an interactive relationship graph, person-based searches showing connections and document snippets, and full-text search across 146M characters of extracted PDF text. It solves the lack of a manifest or bulk download by using a brute-force audit methodology to scrape and verify files, delivering a local SQLite database (~835MB download) you run in your browser. Download the pre-built DB from releases, pip install deps, and streamlit run for instant access—no scraping needed.

Why is it gaining traction?

Unlike raw DOJ zips or scattered torrents, it offers a polished explorer with pyvis graphs highlighting VIP co-occurrences (Epstein, Maxwell, Trump, Clinton) and searchable PDFs via NER-extracted entities, standing out as a ready-to-run searchable database epstein on GitHub. The methodology tab transparently documents fill rates (0.08% average) and 404 patterns, appealing to audit enthusiasts. Devs dig the full-text search and relationship edges without building their own PDF processor.

Who should use this?

Investigative journalists or researchers digging into Epstein connections via graph viz and targeted searches. Data hoarders wanting a searchable database website for the files beyond Google Sheets or Excel templates. Python devs prototyping NER graphs or full-text search on document dumps.

Verdict

Grab it for quick Epstein file exploration—18 stars and 1.0% credibility score reflect early-stage maturity with solid README and public domain data, but expect OCR glitches and incomplete Dataset 8. PRs welcome to expand the searchable database with all 20,000 files from Epstein’s estate.

(198 words)

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