StatsBase.jl VS Nim

Compare StatsBase.jl vs Nim and see what are their differences.

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). (by nim-lang)
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StatsBase.jl Nim
5 346
563 16,048
0.9% 0.7%
6.2 9.9
4 days ago 3 days ago
Julia Nim
GNU General Public License v3.0 or later GNU General Public License v3.0 or later
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.

StatsBase.jl

Posts with mentions or reviews of StatsBase.jl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-20.

Nim

Posts with mentions or reviews of Nim. 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 StatsBase.jl and Nim you can also consider the following projects:

Lux.jl - Explicitly Parameterized Neural Networks in Julia

zig - General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.

Petalisp - Elegant High Performance Computing

go - The Go programming language

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.

Odin - Odin Programming Language

Enzyme.jl - Julia bindings for the Enzyme automatic differentiator

rust - Empowering everyone to build reliable and efficient software.

DSGE.jl - Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)

crystal - The Crystal Programming Language

diffrax - Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

v - Simple, fast, safe, compiled language for developing maintainable software. Compiles itself in <1s with zero library dependencies. Supports automatic C => V translation. https://vlang.io