simplification VS julia

Compare simplification vs julia and see what are their differences.

simplification

Very fast Python line simplification using either the RDP or Visvalingam-Whyatt algorithm implemented in Rust (by urschrei)
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simplification julia
2 350
154 44,317
- 0.8%
7.7 10.0
11 days ago about 22 hours ago
Python 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.

simplification

Posts with mentions or reviews of simplification. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-15.

julia

Posts with mentions or reviews of julia. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-06.

What are some alternatives?

When comparing simplification and julia you can also consider the following projects:

jax - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

NetworkX - Network Analysis in Python

Lua - Lua is a powerful, efficient, lightweight, embeddable scripting language. It supports procedural programming, object-oriented programming, functional programming, data-driven programming, and data description.

rust-numpy - PyO3-based Rust bindings of the NumPy C-API

Numba - NumPy aware dynamic Python compiler using LLVM

F# - Please file issues or pull requests here: https://github.com/dotnet/fsharp

StaticCompiler.jl - Compiles Julia code to a standalone library (experimental)

Nim - Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).

LUA - A programming language based upon the lua programming language

PackageCompiler.jl - Compile your Julia Package

femtolisp - a lightweight, robust, scheme-like lisp implementation

JLD2.jl - HDF5-compatible file format in pure Julia