Julia vs NumPy
Overview
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CLI (Node.js)
Manual
Detailed Comparison
Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases. | 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. |
Powerful n-dimensional arrays;
Numerical computing tools;
Interoperable;
Performant;
Easy to use | - |
Statistics | |
GitHub Stars 30.7K | GitHub Stars 47.9K |
GitHub Forks 11.7K | GitHub Forks 5.7K |
Stacks 4.3K | Stacks 666 |
Followers 799 | Followers 677 |
Votes 15 | Votes 171 |
Pros & Cons | |
Pros
| Pros
Cons
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Integrations | |
What are some alternatives to NumPy, Julia?
Meteor
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Bower
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Elm
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Racket
It is a general-purpose, multi-paradigm programming language based on the Scheme dialect of Lisp. It is designed to be a platform for programming language design and implementation. It is also used for scripting, computer science education, and research.
Pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.
PureScript
A small strongly typed programming language with expressive types that compiles to JavaScript, written in and inspired by Haskell.
Composer
It is a tool for dependency management in PHP. It allows you to declare the libraries your project depends on and it will manage (install/update) them for you.
pnpm
It uses hard links and symlinks to save one version of a module only ever once on a disk. When using npm or Yarn for example, if you have 100 projects using the same version of lodash, you will have 100 copies of lodash on disk. With pnpm, lodash will be saved in a single place on the disk and a hard link will put it into the node_modules where it should be installed.
PyXLL
Integrate Python into Microsoft Excel. Use Excel as your user-facing front-end with calculations, business logic and data access powered by Python. Works with all 3rd party and open source Python packages. No need to write any VBA!
Bun
Develop, test, run, and bundle JavaScript & TypeScript projects—all with Bun. Bun is an all-in-one JavaScript runtime & toolkit designed for speed, complete with a bundler, test runner, and Node.js-compatible package manager.
