active 2026-01-10 → 2026-01-10 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2026-01-10 to 2026-01-10. Pushes: 1 total, peak 1 in a day. Pull requests: 2 total, peak 2 in a day. Issues: 141 total, peak 141 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| echohtp | 144 | 1 | 2 | 0 |
Recent activity
Latest issues, pull requests and releases
- Issue#2echohtp2026-01-10 18:58FPV-002: Research Velocidrone WebSocket API, document all fields
- Pull request#135echohtp2026-01-10 18:56
- Pull request#134echohtp2026-01-10 18:52
- Issue#133echohtp2026-01-10 18:28FPV-133: A/B test rules vs ML models
- Issue#133echohtp2026-01-10 18:28FPV-133: A/B test rules vs ML models
- Issue#131echohtp2026-01-10 18:28FPV-131: Export models to ONNX
- Issue#131echohtp2026-01-10 18:28FPV-131: Export models to ONNX
- Issue#129echohtp2026-01-10 18:28FPV-129: Train v1 trick classification model
- Issue#129echohtp2026-01-10 18:28FPV-129: Train v1 trick classification model
- Issue#129echohtp2026-01-10 18:28FPV-129: Train v1 trick classification model
- Issue#128echohtp2026-01-10 18:28FPV-128: Train v1 weakness detection model
- Issue#128echohtp2026-01-10 18:28FPV-128: Train v1 weakness detection model
- Issue#127echohtp2026-01-10 18:28FPV-127: Implement data labeling tools
- Issue#127echohtp2026-01-10 18:28FPV-127: Implement data labeling tools
- Issue#127echohtp2026-01-10 18:28FPV-127: Implement data labeling tools
- Issue#126echohtp2026-01-10 18:28FPV-126: Create data loading pipeline
- Issue#122echohtp2026-01-10 18:28FPV-122: Data quality validation
- Issue#122echohtp2026-01-10 18:28FPV-122: Data quality validation
- Issue#122echohtp2026-01-10 18:28FPV-122: Data quality validation
- Issue#119echohtp2026-01-10 18:28FPV-119: Anonymization pipeline for uploads
- Issue#108echohtp2026-01-10 18:28FPV-108: Trick-specific feedback generation
- Issue#108echohtp2026-01-10 18:28FPV-108: Trick-specific feedback generation
- Issue#108echohtp2026-01-10 18:28FPV-108: Trick-specific feedback generation
- Issue#107echohtp2026-01-10 18:28FPV-107: Trick progress tracking over time
- Issue#107echohtp2026-01-10 18:28FPV-107: Trick progress tracking over time
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.