Differentiable Programming Python Packages

warp-lang

A Python framework for GPU-accelerated simulation, robotics, and machine learning.

jaxopt

Hardware accelerated, batchable and differentiable optimizers in JAX.

taichi

Productive, portable, and performant GPU programming in Python.

pytorch-kinematics

Robot kinematics implemented in pytorch

diff-biophys

Differentiable biophysical modeling in JAX (SAXS, NMR, CD), with Jupyter Notebook examples.

tesseract-core

Universal components for differentiable scientific computing. :package:

torchopt

TorchOpt is an efficient library for differentiable optimization built upon PyTorch.

optiland

Comprehensive optical design, optimization, and analysis in Python, including GPU-accelerated and differentiable ray tracing via PyTorch.

nextstat

Universal differentiable statistical inference engine (Rust + GPU). High-performance Frequentist & Bayesian modeling, RL environments, and end-to-end optimization for Science, Pharma, and Finance

mcfit

multiplicatively convolutional fast integral transforms, implementing FFTLog

fpt-jax

Fermat path tracing with JAX

s2fft

S2FFT: Differentiable and accelerated spherical transforms

memo-lang

A probabilistic programming language for metacognitive modeling

neuralogic

PyNeuraLogic lets you use Python to create Differentiable Logic Programs

taichi-nightly

Productive, portable, and performant GPU programming in Python.

torch-sla

torch sparse linear algebra library

tesseract-jax

Tesseract JAX executes Tesseracts as part of JAX programs, with full support for function transformations like JIT, `grad`, and more.

neuromancer

Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.

diff-em

Differentiable Cryo-EM map fitting in JAX

dedekind

Dedekind is a high-performance, differentiable programming language for scientific computing and machine learning. It features compile-time physical units, automatic differentiation, built-in solvers, and GPU/TPU acceleration.

diff-epr

Differentiable EPR/DEER distance distribution modeling in JAX

diff-fret

Differentiable FRET distance distribution modeling in JAX

softtorch

A library for soft differentiable relaxations of common PyTorch functions.

diff-hdx

Differentiable HDX-MS prediction in JAX