OC
MIND-Lab/OCTIS
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
800 118 +0/wk
GitHub
bayesian-optimization evaluation-metrics hyperparameter-optimization hyperparameter-search hyperparameter-tuning latent-dirichlet-allocation latent-semantic-analysis natural-language-processing neural-topic-models nlp nlp-library nlproc
Trend
0
Star & Fork Trend (17 data points)
Stars
Forks
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Growth Velocity
MIND-Lab/OCTIS has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | OCTIS | llama3.java | IncarnaMind | Opus-MT |
|---|---|---|---|---|
| Stars | 800 | 800 | 800 | 798 |
| Forks | 118 | 93 | 55 | 86 |
| Weekly Growth | +0 | +0 | +0 | +1 |
| Language | Python | Java | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | Apache-2.0 | MIT |
Capability Radar vs llama3.java
OCTIS
llama3.java
Maintenance Activity 77
Last code push 47 days ago.
Community Engagement 74
Fork-to-star ratio: 14.8%. 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 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.