ML
paulfitz/mlsql
inferring sql queries from plain-text questions about tables
918 68 +0/wk
GitHub
deep-learning natural-language sql wikisql
Trend
0
Star & Fork Trend (20 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
paulfitz/mlsql has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | mlsql | Convolutional-KANs | muse-maskgit-pytorch | Pytorch-Project-Template |
|---|---|---|---|---|
| Stars | 918 | 918 | 919 | 917 |
| Forks | 68 | 97 | 86 | 190 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Jupyter Notebook | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | N/A | MIT | MIT | MIT |
Capability Radar vs Convolutional-KANs
mlsql
Convolutional-KANs
Maintenance Activity 0
Last code push 1031 days ago.
Community Engagement 37
Fork-to-star ratio: 7.4%. 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 30
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.