CoffeeScript vs Cython
CoffeeScript
coffeescript.orgCython
cython.orgSide by side
| Figure | CoffeeScript | Cython |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | — |
| Plans published | 0 | 1 |
| Spec score · Code Transpilers | 7.9 (#11) | 7.9 (#12) |
| Installation | CoffeeScript is installed through npm, either globally or as a project dependency. | The documentation recommends installing Cython with pip and says some scientific Python distributions, including Anaconda and Sage, bundle it. |
Plans
In their own words
CoffeeScript
CoffeeScript is a language that compiles to JavaScript, so its output runs without a CoffeeScript interpreter. It can use existing JavaScript libraries, and JavaScript can use libraries written in CoffeeScript. Version 2 produces modern JavaScript syntax, including classes and arrow functions, and supports async functions and JSX. The `coffee` command runs scripts, compiles `.coffee` files to `.js`, and opens an interactive REPL; it can also generate inline or external source maps. Install it through npm, globally or as a project dependency. The core compiler can run in a browser or another JavaScript environment, while the command-line utility requires Node 6 or later. Its Node API compiles CoffeeScript strings and can return source maps or an abstract syntax tree. Babel transpilation is available when `@babel/core` is installed. The integrations section links to build tools, editors, frameworks, linters, formatters, and testing resources. JSX output always needs transpilation, and users must ensure their runtime supports the modern features they use or transpile the result. CoffeeScript is free and open source.
Cython
Cython is a free compiler for Python and the extended Cython language, used to create C extensions for Python. It translates source code into C or C++ that can be built as Python extension modules. Optional static type declarations can help produce more efficient C, while declared C and C++ types let Python code call existing C or C++ code. Cython supports source-level debugging across Python, Cython and C, and the project describes uses including wrapping external libraries, embedding CPython in applications and speeding up Python code with C modules. It can work with multidimensional NumPy arrays and integrate with low-level libraries and applications. Installation is available through pip, and some scientific Python distributions bundle it. A C compiler is required, with installation guidance for Linux, macOS and Windows. The project describes compatibility with major C and C++ compilers for CPython 3.8 and later, and characterizes PyPy support as mostly usable. Limited API and free-threading CPython support in Cython 3.1 are experimental. Cython is available under the Apache 2.0 License.