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#automatic-differentiation

Every repository in the public record carrying this tag — from its GitHub topics or the keywords its package registries publish. Health is measured under the same versioned methodology as the rest of the record.

17 records
Tagged “automatic-differentiation”Ranked by health index
PyPI
98Exceptionalhealth index
PennyLaneAI/pennylane
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.
Python★ 3,469↓ 199.1K/moSep 17, 2026
Apache-2.0Sep 17, 2026 · metrics 2.10.0
PyPI
95Exceptionalhealth index
HIPS/autograd
Efficiently computes derivatives of NumPy code.
Python★ 7,523↓ 5.1M/moAug 28, 2026
MITAug 28, 2026 · metrics 2.10.0
PyPI
94Exceptionalhealth index
stack-of-tasks/pinocchio
A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives
C++★ 3,739Sep 17, 2026
BSD-2-ClauseSep 17, 2026 · metrics 2.10.0
—
92Excellenthealth index
SciML/Optimization.jl
Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable interface.
Julia★ 836Sep 10, 2026
MITSep 10, 2026 · metrics 2.10.0
—
89Excellenthealth index
EnzymeAD/Enzyme
High-performance automatic differentiation of LLVM and MLIR.
LLVM · C++★ 1,691Sep 11, 2026
Custom licenseSep 11, 2026 · metrics 2.10.0
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87Excellenthealth index
SciML/PreallocationTools.jl
Tools for building non-allocating pre-cached functions in Julia, allowing for GC-free usage of automatic differentiation in complex codes
Julia★ 127Sep 10, 2026
Custom licenseSep 10, 2026 · metrics 2.10.0
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84Excellenthealth index
FluxML/Zygote.jl
21st century AD
Julia★ 1,568Aug 25, 2026
Custom licenseAug 25, 2026 · metrics 2.10.0
Go
84Excellenthealth index
born-ml/born
Born is a modern ML framework for Go — train and deploy models as single binaries. Pure Go, zero CGO, GPU accelerated.
Go★ 130Sep 18, 2026
Apache-2.0Sep 18, 2026 · metrics 2.10.0
—
80Excellenthealth index
JuliaDiff/ForwardDiff.jl
Forward Mode Automatic Differentiation for Julia
Julia★ 1,005Sep 19, 2026
Custom licenseSep 19, 2026 · metrics 2.10.0
PyPI
80Excellenthealth index
tad-mctc/tad-mctc
PyTorch Automatic Differentiation Utility for "tad" Projects.
Python★ 2↓ 4,709/moOct 20, 2026
Apache-2.0Oct 20, 2026 · metrics 2.10.0
PyPI
77Goodhealth index
tensorcircuit/tensorcircuit-ng
Next-gen AI-native tensor-network-based quantum software framework
Python★ 92↓ 781/moOct 20, 2026
Apache-2.0Oct 20, 2026 · metrics 2.10.0
—
71Goodhealth index
JuliaDiff/TaylorSeries.jl
Taylor polynomial expansions in one and several independent variables.
Julia · TeX★ 387Sep 18, 2026
Custom licenseSep 18, 2026 · metrics 2.10.0
PyPI · crates.io
69Goodhealth index
VolkovIlia/semiflow
Fast no_std Rust library for evolution equations and PDEs via Chernoff approximation of operator semigroups — heat, Schrödinger, diffusion, graph & manifold operators. Bindings for C, Python, and WebAssembly.
Rust · Python★ 3↓ 698/moSep 6, 2026
Apache-2.0Sep 6, 2026 · metrics 2.10.0
crates.io · PyPI
69Goodhealth index
itt-ustutt/num-dual
Generalized (hyper-) dual numbers in rust
Rust★ 93↓ 43.5K/moSep 14, 2026
Apache-2.0Sep 14, 2026 · metrics 2.10.0
—
65Goodhealth index
adrhill/SparseConnectivityTracer.jl
Fast operator-overloading Jacobian & Hessian sparsity pattern detection.
Julia★ 59Sep 10, 2026
MITSep 10, 2026 · metrics 2.10.0
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57Moderatehealth index
JuliaDiff/TaylorDiff.jl
Taylor-mode automatic differentiation for higher-order derivatives
Julia★ 83Sep 17, 2026
MITSep 17, 2026 · metrics 2.10.0
—
56Moderatehealth index
JuliaDiff/ChainRulesCore.jl
AD-backend agnostic system defining custom forward and reverse mode rules. This is the light weight core to allow you to define rules for your functions in your packages, without depending on any particular AD system.
Julia★ 267Sep 13, 2026
Custom licenseSep 13, 2026 · metrics 2.10.0