QuantumOptics.jl VS julia

Compare QuantumOptics.jl vs julia and see what are their differences.

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QuantumOptics.jl julia
1 366
566 46,834
1.1% 0.7%
6.6 10.0
27 days ago 6 days ago
Julia Julia
GNU General Public License v3.0 or later 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.

QuantumOptics.jl

Posts with mentions or reviews of QuantumOptics.jl. We have used some of these posts to build our list of alternatives and similar projects.

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 2025-03-08.

What are some alternatives?

When comparing QuantumOptics.jl and julia you can also consider the following projects:

Krotov.jl - Julia implementation of Krotov's method for quantum optimal control

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).

Pulses.jl - A tiny quantum optimal control library.

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

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.

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.

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Did you know that Julia is
the 44th most popular programming language
based on number of references?