HE
helmholtz-analytics/heat
Distributed tensors and Machine Learning framework with GPU and MPI acceleration in Python
231 62 +0/wk
GitHub
array-api data-analytics data-processing data-science distributed gpu hpc machine-learning massive-datasets mpi mpi4py multi-gpu
Trend
0
Star & Fork Trend (15 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
helmholtz-analytics/heat 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 | heat | tabpfn-client | rag-ecosystem | texera |
|---|---|---|---|---|
| Stars | 231 | 232 | 232 | 230 |
| Forks | 62 | 23 | 71 | 117 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | Jupyter Notebook | Scala |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | Apache-2.0 | MIT | Apache-2.0 |
Capability Radar vs tabpfn-client
heat
tabpfn-client
Maintenance Activity 100
Last code push 0 days ago.
Community Engagement 100
Fork-to-star ratio: 26.8%. 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.