diffrax and JAXFLUIDS

Diffrax provides the underlying numerical ODE/PDE solver infrastructure that JAXFLUIDS builds upon to implement its differentiable fluid dynamics simulations, making them complementary tools used together rather than alternatives.

diffrax
73
Verified
JAXFLUIDS
66
Established
Maintenance 13/25
Adoption 15/25
Maturity 25/25
Community 20/25
Maintenance 17/25
Adoption 10/25
Maturity 16/25
Community 23/25
Stars: 1,930
Forks: 175
Downloads:
Commits (30d): 1
Language: Python
License: Apache-2.0
Stars: 538
Forks: 99
Downloads:
Commits (30d): 9
Language: Python
License: MIT
No risk flags
No Package No Dependents

About diffrax

patrick-kidger/diffrax

Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

This is a tool for scientists and engineers who need to simulate complex systems over time using differential equations. It takes your system's equations and initial conditions, then precisely calculates how the system evolves. Researchers in fields like physics, biology, and finance can use this to model dynamic processes.

numerical-simulation dynamic-modeling scientific-computing computational-physics quantitative-finance

About JAXFLUIDS

tumaer/JAXFLUIDS

Differentiable Fluid Dynamics Package

This package helps fluid dynamics researchers and engineers simulate complex 3D compressible single-phase and two-phase flows. You provide your flow conditions and geometries, and it outputs detailed flow field data, pressure, velocity, and density distributions, allowing for advanced analysis and optimization. It's designed for those working at the cutting edge of machine learning and computational fluid dynamics.

computational-fluid-dynamics compressible-flow two-phase-flow aerospace-engineering fluid-mechanics-research

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