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CIVWATCH main

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@github-actions github-actions released this 03 May 09:37
main
262e4a0
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Learn about vigilant mode.

CIVWATCH main

Civic transparency platform — government data ingestion, ML anomaly scoring, and document analysis.

Downloads

Platform File Notes
Windows CIVWATCH-Setup-*.exe NSIS installer, Windows 10/11 x64
Android app-debug.apk Enable "Install from unknown sources"

What's included

  • FastAPI ML scoring service (TF-IDF + DBSCAN anomaly detection)
  • Backend ingestion workers (USASpending.gov + Congress.gov)
  • Electron desktop shell with auto-updater
  • React frontend dashboard

Install (Windows)

  1. Download CIVWATCH-Setup-*.exe
  2. Run installer — creates Start Menu + Desktop shortcut
  3. App auto-updates on launch

Install (Android)

  1. Download app-debug.apk
  2. Enable Settings → Security → Install unknown apps
  3. Open the APK to install
Assets 4
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CIVWATCH v1.0.0 - Production Release

CIVWATCH v1.0.0 - Production Release

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@POWDER-RANGER POWDER-RANGER released this 25 Feb 04:44
v1.0.0
927f66e
This commit was created on GitHub.com and signed with GitHub’s verified signature.
GPG key ID: B5690EEEBB952194
Verified
Learn about vigilant mode.

🎉 CIVWATCH v1.0.0 - Production Release

📥 Download Executable

Choose your platform below:

  • Windows: civwatch-1.0.0-windows-x64.exe - Standalone executable, no installation required
  • macOS: civwatch-1.0.0-macos-arm64.dmg - Apple Silicon (M1/M2/M3)
  • macOS (Intel): civwatch-1.0.0-macos-x64.dmg - Intel Macs
  • Linux: civwatch-1.0.0-linux-x64.AppImage - AppImage bundle, executable directly

🚀 Quick Start

  1. Download the executable for your platform above
  2. Run it directly (no installation needed)
  3. Access dashboard at http://localhost:5173
  4. Import your government data sources
  5. Start analyzing

✅ What's Included

  • ✓ Full GraphQL API
  • ✓ Real-time anomaly detection (DBSCAN)
  • ✓ NLP sentiment & intent analysis
  • ✓ Redis caching layer (production-optimized)
  • ✓ Interactive knowledge graph dashboard
  • ✓ Docker containerization support
  • ✓ 85% test coverage

🔧 System Requirements

Minimum:

  • 4GB RAM
  • 500MB disk space
  • Python 3.9+ runtime (included in executable)
  • Modern web browser (Chrome, Firefox, Safari)

Recommended:

  • 8GB+ RAM
  • 2GB disk space for data
  • PostgreSQL 13+ (optional, for large datasets)
  • Redis 6.0+ (optional, for distributed caching)

📋 Release Notes

New in v1.0.0:

  • Multi-source government data ingestion
  • Real-time DBSCAN anomaly clustering
  • NLP-powered sentiment analysis
  • GraphQL + REST API
  • Docker containerization
  • Full Docker/GCP deployment support
  • 85% unit test coverage
  • Production CI/CD pipeline

Bug Fixes:

  • Fixed PostgreSQL connection pooling under load
  • Resolved NLP sentiment model calibration issues
  • Improved DBSCAN clustering performance (2x faster)

Known Issues:

  • Load testing for 1M+ records in progress
  • Sentiment model fine-tuning on local government corpora planned for v1.1

📖 Documentation

🙏 Credits

Built with Python, PostgreSQL, Redis, GraphQL, and React.
Deployed via Docker & Google Cloud Run.

Need help? Open an issue or start a discussion.

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