Debugger.jl VS taichi

Compare Debugger.jl vs taichi and see what are their differences.

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Debugger.jl taichi
3 36
457 24,803
0.9% 0.7%
1.0 9.1
9 days ago 21 days ago
Julia C++
MIT License Apache License 2.0
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.

Debugger.jl

Posts with mentions or reviews of Debugger.jl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-08.

taichi

Posts with mentions or reviews of taichi. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-17.

What are some alternatives?

When comparing Debugger.jl and taichi you can also consider the following projects:

Infiltrator.jl - No-overhead breakpoints in Julia

Halide - a language for fast, portable data-parallel computation

MandelbrotExplorer - Interactive Mandelbrot set explorer using CUDA acceleration and VTK for graphics/interaction

dolfinx - Next generation FEniCS problem solving environment

Makie.jl - Interactive data visualizations and plotting in Julia

Data-Science-For-Beginners - 10 Weeks, 20 Lessons, Data Science for All!

c-examples - Example C code

difftaichi - 10 differentiable physical simulators built with Taichi differentiable programming (DiffTaichi, ICLR 2020)

open-im-server - IM Chat

copilot.vim - Neovim plugin for GitHub Copilot

qinglong - 支持 Python3、JavaScript、Shell、Typescript 的定时任务管理平台(Timed task management platform supporting Python3, JavaScript, Shell, Typescript)

codon - A high-performance, zero-overhead, extensible Python compiler using LLVM