TE
dselivanov/text2vec
Fast vectorization, topic modeling, distances and GloVe word embeddings in R.
871 133 +0/wk
GitHub
glove latent-dirichlet-allocation natural-language-processing text-mining topic-modeling vectorization word-embeddings word2vec
Trend
0
Star & Fork Trend (17 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
dselivanov/text2vec has +0 stars this period . Velocity data will be available after more historical data is collected.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | text2vec | pypostal | llm_note | LLM-Finetuning-Toolkit |
|---|---|---|---|---|
| Stars | 871 | 870 | 872 | 870 |
| Forks | 133 | 92 | 87 | 105 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | R | C | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | NOASSERTION | MIT | N/A | Apache-2.0 |
Capability Radar vs pypostal
text2vec
pypostal
Maintenance Activity 30
Last code push 129 days ago.
Community Engagement 76
Fork-to-star ratio: 15.3%. 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.