Python · MIT
microsoft/OpenRCA
[ICLR'25] OpenRCA: Can Large Language Models Locate the Root Cause of Software Failures?
★ 450
Stars
53 forks · 14 open issues
+5.0/wk
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
27.1
Momentum / 100
see the breakdown below
2y ago
Created
last push 3d ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 4.5 | +5.0/wk, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 0.0 | last week ran 0.98× the monthly pace |
| Freshness | 15 | 15.0 | last push 3d ago; decays to zero at 180 days |
| Scale | 15 | 7.7 | 450 stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 27.1 | sum of the above |
Detail
| Topics | benchmarklarge-language-modelsllmllm-agentrcaroot-cause-analysissoftware-engineering |
| Matched on | AI Agents (llm-agent) |
| Short window | +5 stars over 7 days = 0.7/day |
| Long window | +19 stars over 26 days = 0.7/day |
| Lifetime average | 0.61 stars/day over 736 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |