facebookresearch/stopes

A library for preparing data for machine translation research (monolingual preprocessing, bitext mining, etc.) built by the FAIR NLLB team.

301 45 +0/wk

GitHub ✦ New Signal

dataset dataset-generation machine-learning machine-translation machine-translation-data-processing nmt translation

Trend 0

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facebookresearch/stopes has +0 stars this period . Velocity data will be available after more historical data is collected.

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Metric	stopes	Awesome-KV-Cache-Optimization	AlbumentationsX	dograh
Stars	301	300	300	302
Forks	45	10	27	98
Weekly Growth	+0	+0	+0	+1
Language	Python	Python	Python	Python
Sources	1	1	1	1
License	MIT	N/A	NOASSERTION	BSD-2-Clause

stopes

Awesome-KV-Cache-Optimization

Maintenance Activity 100

Last code push 1 days ago.

Community Engagement 75

Fork-to-star ratio: 15.0%. Active community forking and contributing.

Issue Burden 70

Issue data not yet available.

Growth Momentum 30

No measurable growth in the current period (first-day cold start expected).

License Clarity 95

Licensed under MIT. Permissive — safe for commercial use.

Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.