Rust · MIT
AkashPriyadarshii/jev-curate
High-throughput synthetic and pretraining dataset sifter for TypeSafe Jev. Rust streaming core, Parquet and JSONL I/O, typed Choice/Score/Noul judgments, speculative fan-out, 24.0 rows/sec measured.
★ 107
Stars
14 forks · 2 open issues
+2.2/day
Growth · lifetime avg
Average since the repo was created — it is young enough that this still describes now. Not a recent-week figure.
30.6
Momentum / 100
see the breakdown below
51d ago
Created
last push 3d ago
Star history
Only 1 snapshot so far — we started watching
this repository on 2026-11-05.
The chart appears once there are two days to compare.
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 9.7 | +2.2/day, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 0.0 | needs 7-day and 30-day rates side by side |
| Freshness | 15 | 15.0 | last push 3d ago; decays to zero at 180 days |
| Scale | 15 | 5.9 | 107 stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 30.6 | sum of the above |
Detail
| Topics | arrowclidata-cleaningdata-engineeringdataset-curationeval-harnessfine-tuningjevjsonlllmparquetpolarspretrainingpyo3reasoning-modelsrustsynthetic-datasystem-onetype-safe-aitypesafe-ai |
| Matched on | LLM & Inference (fine-tuning) Data (data-engineering) |
| Short window | no snapshot 5–10 days old yet |
| Long window | no snapshot 14–45 days old yet |
| Lifetime average | 2.22 stars/day over 48 days |
| First seen here | 2026-11-05 |
| Last read | 2d ago |