Diffractor.jl VS FrechetDiff.jl

Compare Diffractor.jl vs FrechetDiff.jl and see what are their differences.

FrechetDiff.jl

FrechetDiff is an experimental Julia package for automatic differentiation (AD). (by cafaxo)
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Diffractor.jl FrechetDiff.jl
3 1
425 0
0.0% -
9.2 0.0
25 days ago about 3 years ago
Julia Julia
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Diffractor.jl

Posts with mentions or reviews of Diffractor.jl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-30.

FrechetDiff.jl

Posts with mentions or reviews of FrechetDiff.jl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-30.

What are some alternatives?

When comparing Diffractor.jl and FrechetDiff.jl you can also consider the following projects:

JuliaInterpreter.jl - Interpreter for Julia code

Infiltrator.jl - No-overhead breakpoints in Julia

SciMLBenchmarks.jl - Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R

oxide-enzyme - Enzyme integration into Rust. Experimental, do not use.

RecursiveFactorization.jl

ModelingToolkit.jl - An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations

mujoco - Multi-Joint dynamics with Contact. A general purpose physics simulator.

DifferentialEquations.jl - Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.

DiffEqOperators.jl - Linear operators for discretizations of differential equations and scientific machine learning (SciML)

OMEinsum.jl - One More Einsum for Julia! With runtime order-specification and high-level adjoints for AD

Enzyme.jl - Julia bindings for the Enzyme automatic differentiator