PR
tbepler/prose
Multi-task and masked language model-based protein sequence embedding models.
106 21 +0/wk
GitHub
deep-learning language-model protein-embedding protein-sequences representation-learning sequence-embedding
Trend
0
Star & Fork Trend (18 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
tbepler/prose has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | prose | haystack-integrations | llamactl | vidyut |
|---|---|---|---|---|
| Stars | 106 | 106 | 105 | 107 |
| Forks | 21 | 134 | 12 | 34 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | N/A | Go | Rust |
| Sources | 1 | 1 | 1 | 1 |
| License | NOASSERTION | N/A | MIT | N/A |
Capability Radar vs haystack-integrations
prose
haystack-integrations
Maintenance Activity 0
Last code push 1757 days ago.
Community Engagement 99
Fork-to-star ratio: 19.8%. 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 30
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.