ES
EulerSearch/embedding_studio
Embedding Studio is a framework which allows you transform your Vector Database into a feature-rich Search Engine.
384 5 +0/wk
GitHub
embeddings embeddings-similarity fine-tuning llm-inference query-parser search-algorithm search-engine search-query-parser semantic-similarity unstructured-data unstructured-search vector-database
Trend
0
Star & Fork Trend (16 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
EulerSearch/embedding_studio has +0 stars this period . Velocity data will be available after more historical data is collected.
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Signal-backed technical analysis will be available soon.
| Metric | embedding_studio | BentoDiffusion | redis-vl-python | Jackrong-llm-finetuning-guide |
|---|---|---|---|---|
| Stars | 384 | 384 | 385 | 385 |
| Forks | 5 | 30 | 75 | 73 |
| Weekly Growth | +0 | +0 | +0 | +80 |
| Language | Python | Python | Python | Jupyter Notebook |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | Apache-2.0 | MIT | Apache-2.0 |
Capability Radar vs BentoDiffusion
embedding_studio
BentoDiffusion
Maintenance Activity 0
Last code push 349 days ago.
Community Engagement 59
Fork-to-star ratio: 1.3%. Lower fork ratio may indicate passive usage.
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 Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.