DE
linkedin/detext
DeText: A Deep Neural Text Understanding Framework for Ranking and Classification Tasks
1.3k 134 -1/wk
GitHub
classification deep-neural-networks detext-framework nlp ranking text-embeddings
Trend
0
Star & Fork Trend (16 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
linkedin/detext has -1 stars this period . 7-day velocity: -0.1%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | detext | KGQA-Based-On-medicine | contextualized-topic-models | Transformers4Rec |
|---|---|---|---|---|
| Stars | 1.3k | 1.3k | 1.3k | 1.3k |
| Forks | 134 | 288 | 151 | 159 |
| Weekly Growth | -1 | +0 | +0 | +2 |
| Language | Python | JavaScript | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | BSD-2-Clause | N/A | MIT | Apache-2.0 |
Capability Radar vs KGQA-Based-On-medicine
detext
KGQA-Based-On-medicine
Maintenance Activity 0
Last code push 1133 days ago.
Community Engagement 53
Fork-to-star ratio: 10.6%. 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 BSD-2-Clause. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.