Python
facebookresearch/swe-sweep
How many bugs can LMs find & fix in large codebases?
★ 220
Stars
26 forks · 48 open issues
+1.9/day
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
30.2
Momentum / 100
see the breakdown below
38d ago
Created
last push 6d ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 8.7 | +1.9/day, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 0.0 | needs 7-day and 30-day rates side by side |
| Freshness | 15 | 14.7 | last push 6d ago; decays to zero at 180 days |
| Scale | 15 | 6.8 | 220 stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 30.2 | sum of the above |
Detail
| Topics | aiai-agentsbenchmarkbenchmarkingharborharbor-frameworkllmllm-benchmarkllm-benchmarkingllm-benchmarksswe-bench |
| Matched on | LLM & Inference (llm) |
| Short window | +13 stars over 7 days = 1.9/day |
| Long window | no snapshot 14–45 days old yet |
| Lifetime average | 6.23 stars/day over 35 days |
| First seen here | 2026-10-27 |
| Last read | 2d ago |