# IAmTomShaw/f1-race-replay > A Python application for visualizing Formula 1 race telemetry and replaying race events with interactive controls and a graphical interface. - Magnitude: 5.9 out of 10 — Breakout - Stars: 6,648 total · +1 star measured 2026-10-08, 10:59–11:46 UTC, ≈ 69 by evening - Star trust: star growth looks organic - Category: Data & analytics · Language: Python · Created: 2025-11-21 · Last push: 2026-10-06 - GitHub: https://github.com/IAmTomShaw/f1-race-replay · Page: https://gitnova.dev/en/r/IAmTomShaw/f1-race-replay ## Useful for - Replay a race with real-time driver positions on the track - Analyze telemetry of a selected driver: speed, gear, DRS - Watch the Safety Car deployment and return animation ## Why it’s here - Star-counter measurements on 2026-10-08 (UTC), 10:59–11:46: 6647 → 6648 stars (+1). This is the change over that interval. - Estimated end-of-day forecast: about +69 stars, using observed gains and the previous day. - Before this, the repository barely got any stars — about 1 per day. - Elevated gains were measured on the last 2 completed UTC days in a row. Continued growth is not guaranteed. - GitHub Trending Python today: #10, +216 stars. - About 25 forks a day — people are taking the code. ## Star trust Star growth looks organic. Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer. ## Numbers - Forks: 874 - Issues and pull requests: 329 - Watchers: 69 - Average over the last week: 64 per day - Usual pace: 1 per day - Stars in the last hour (measured): 9 ## Stars per day, last 30 days (oldest → newest, today is partial) 2026-09-09 … 2026-10-08: 1, 4, 0, 0, 2, 1, 1, 2, 1, 2, 0, 1, 2, 1, 0, 0, 1, 1, 2, 1, 1, 1, 0, 2, 1, 0, 1, 104, 271, 1 ## Spotted in now - GitHub Trending Python today: #10, +216 stars ## More in this category 1. **fabio-rovai/open-ontologies** — 5.0 · Early signal · Data & analytics · Rust · +26 stars measured 2026-10-08, 00:02–11:46 UTC, ≈ 65 by evening A Rust tool for planning, applying and rolling back changes to production OWL/RDFS ontologies, with a blast radius report and a verifiable proof certificate. Full card: https://gitnova.dev/en/r/fabio-rovai/open-ontologies.md 2. **duckdb/ducklake** — 4.3 · Breakout · Data & analytics · C++ · +18 stars measured 2026-10-08, 01:27–11:47 UTC, ≈ 36 by evening DuckDB extension for DuckLake, an open lakehouse format built on SQL and Parquet, storing metadata in a catalog database and data in Parquet files. Lets DuckDB read and write DuckLake tables directly. Full card: https://gitnova.dev/en/r/duckdb/ducklake.md 3. **bilawalsidhu/gods-eye-view** — 4.1 · Steady · Data & analytics · JavaScript · +236 stars measured 2026-10-08, 00:03–11:47 UTC, ≈ 462 by evening A browser-based spy-satellite simulator on a photorealistic 3D globe that unifies public feeds: aircraft, ships, satellites, earthquakes, cameras, and traffic. Runs locally, with each layer as a separate module. Full card: https://gitnova.dev/en/r/bilawalsidhu/gods-eye-view.md 4. **D4Vinci/Scrapling** — 3.7 · Steady · Data & analytics · Python · +134 stars measured 2026-10-08, 00:03–11:47 UTC, ≈ 256 by evening An adaptive Python web scraping framework: the parser relocates elements when site markup changes, fetchers bypass anti-bot systems like Cloudflare Turnstile, and the spider system scales to concurrent multi-session crawls. Full card: https://gitnova.dev/en/r/D4Vinci/Scrapling.md 5. **koala73/worldmonitor** — 3.1 · Steady · Data & analytics · TypeScript · +2 stars measured 2026-10-08, 11:02–11:49 UTC, ≈ 26 by evening Real-time situational awareness dashboard: aggregates news with AI summarization, tracks geopolitics, infrastructure, finance, and flight data on a world map. Full card: https://gitnova.dev/en/r/koala73/worldmonitor.md --- Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score. Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast. Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself. Data as of 2026-10-08 12:00 UTC, updated every 30 minutes.