MD

janosh/matbench-discovery

An evaluation framework for machine learning models simulating high-throughput materials discovery.

217 55 +0/wk
GitHub New Signal
bayesian-optimization convex-hull high-throughput-search interatomic-potential machine-learning materials-discovery
Trend 0

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Multi-Source Signals

Growth Velocity

janosh/matbench-discovery has +0 stars this period . Velocity data will be available after more historical data is collected.

Deep analysis is being generated for this repository.

Signal-backed technical analysis will be available soon.

Metric matbench-discovery vigenair PerforatedAI vscode-dvc
Stars 217 217216218
Forks 55 667629
Weekly Growth +0 -1+0+0
Language Python TypeScriptPythonTypeScript
Sources 1 111
License MIT Apache-2.0Apache-2.0Apache-2.0

Capability Radar vs vigenair

matbench-discovery
vigenair
Maintenance Activity 100

Last code push 0 days ago.

Community Engagement 100

Fork-to-star ratio: 25.3%. 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.