JA

tumaer/JAXFLUIDS

Differentiable Fluid Dynamics Package

554 102 +0/wk
GitHub New Signal
automatic-differentiation cfd compressible-flows computational-fluid-dynamics cuda deep-learning fluid-dynamics gpu gpu-computing high-performance hpc jax
Trend 0

Star & Fork Trend (3 data points)

Stars
Forks

Multi-Source Signals

Growth Velocity

tumaer/JAXFLUIDS 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 JAXFLUIDS codexia Forward go-deep
Stars 554 554554555
Forks 102 546267
Weekly Growth +0 +2+0+0
Language Python TypeScriptC++Go
Sources 1 111
License MIT AGPL-3.0NOASSERTIONMIT

Capability Radar vs codexia

JAXFLUIDS
codexia
Maintenance Activity 100

Last code push 0 days ago.

Community Engagement 92

Fork-to-star ratio: 18.4%. 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.