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We've compiled a list of 34 free and paid alternatives to Julia. The primary competitors include Python, Java. In addition to these, users also draw comparisons between Julia and C (programming language), C++, MATLAB. Also you can look at other similar options here: Development Tools.
We've compiled a list of 34 free and paid alternatives to Julia. The primary competitors include Python, Java. In addition to these, users also draw comparisons between Julia and C (programming language), C++, MATLAB. Also you can look at other similar options here: Development Tools.
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Python is an interpreted, interactive, object-oriented, extensible programming language.
581
Java is a general-purpose computer programming language that is concurrent, class-based...
272
263
C++ is a statically typed, free-form, multi-paradigm, compiled, general-purpose, powerful...
191
188
Octave is a computer program for performing numerical computations which is mostly compatible with...
184
C# is a multi-paradigm programming language encompassing strong typing, imperative, declarative...
153
R is a free software environment for statistical computing and graphics.
144
Mathematica is a computational software program used widely in scientific, engineering, and...
142
Sage is a free open-source mathematics software system licensed under the GPL.
59
Julia is a high-level, high-performance dynamic programming language for technical computing, with...
Julia is a high-level, high-performance dynamic programming language for technical computing, with...
Windows
Linux
Mac
Julia is a high-level, high-performance dynamic programming language for technical computing, with syntax that is familiar to users of other technical computing environments. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library. The library, largely written in Julia itself, also integrates mature, best-of-breed C and Fortran libraries for linear algebra, random number generation, signal processing, and string processing.
In addition, the Julia developer community is contributing a number of external packages through Julia’s built-in package manager at a rapid pace. IJulia, a collaboration between the IPython and Julia communities, provides a powerful browser-based graphical notebook interface to Julia.
It is based on 
libuv
Parallel Computing
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