CO
AgnostiqHQ/covalent
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
858 110 +0/wk
GitHub
covalent data-pipeline data-science deep-learning hacktoberfest hpc hpc-applications machine-learning machinelearning machinelearning-python orchestration parallelization
Trend
0
Star & Fork Trend (18 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
AgnostiqHQ/covalent 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 | covalent | Medical-Transformer | DeepSpeech-examples | agent-governance-toolkit |
|---|---|---|---|---|
| Stars | 858 | 858 | 858 | 858 |
| Forks | 110 | 177 | 354 | 156 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | MIT | N/A | MIT |
Capability Radar vs Medical-Transformer
covalent
Medical-Transformer
Maintenance Activity 91
Last code push 23 days ago.
Community Engagement 64
Fork-to-star ratio: 12.8%. 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 Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.