Ocamldoc.opt Installation On A Debian, Ubuntu, Alpine, Arch, Kali, CentOS, Fedora, Raspbian And MacOS

Ocamldoc.opt Installation On A Debian, Ubuntu, Alpine, Arch, Kali, CentOS, Fedora, Raspbian And MacOS

ocamldoc.opt

Documentation generator for Objective Caml.

Maintainer: Debian OCaml Maintainers



Section: ocaml

Install ocamldoc.opt

  • Debian apt-get install ocaml-nox Click to copy
  • Ubuntu apt-get install ocaml-nox Click to copy
  • Alpine OS apk add ocaml Click to copy
  • Arch Linux pacman -S ocaml Click to copy
  • Kali Linux apt-get install ocaml-nox Click to copy
  • CentOS yum install ocaml-ocamldoc Click to copy
  • Fedora dnf install ocaml-ocamldoc Click to copy
  • Raspbian apt-get install ocaml-native-compilers Click to copy
  • macOS brew install ocaml Click to copy

ocaml-ocamldoc

Documentation generator for Objective Caml.

ocaml-native-compilers

Native code compilers of the OCaml suite (the .opt ones)

Objective Caml (OCaml) is an implementation of the ML language, based on the Caml Light dialect extended with a complete class-based object system and a powerful module system in the style of Standard ML. This package contains the native code version of the compilers and lexer (ocamlc.opt, ocamllex.opt, ocamlopt.opt, camlp4o.opt and camlp4r.opt). The normal version of these programs are found in the 'ocaml' package. For big source codes, these packages can be two to three times faster, but for most normal sized sources, the difference won't be noticeable.

ocaml-nox

ML implementation with a class-based object system (no X)

Objective Caml (OCaml) is an implementation of the ML language, based on the Caml Light dialect extended with a complete class-based object system and a powerful module system in the style of Standard ML. OCaml comprises two compilers. One generates bytecode which is then interpreted by a C program. This compiler runs quickly, generates compact code with moderate memory requirements, and is portable to essentially any 32 or 64 bit Unix platform. Performance of generated programs is quite good for a bytecoded implementation: almost twice as fast as Caml Light 0.7. This compiler can be used either as a standalone, batch-oriented compiler that produces standalone programs, or as an interactive, toplevel-based system. The other compiler generates high-performance native code for a number of processors. Compilation takes longer and generates bigger code, but the generated programs deliver excellent performance, while retaining the moderate memory requirements of the bytecode compiler. It is not available on all arches though. This package contains everything needed to develop OCaml applications that do not require the graphics library.

ocaml

ML language implementation with a class-based object system

Objective Caml (OCaml) is an implementation of the ML language, based on the Caml Light dialect extended with a complete class-based object system and a powerful module system in the style of Standard ML. OCaml comprises two compilers. One generates bytecode which is then interpreted by a C program. This compiler runs quickly, generates compact code with moderate memory requirements, and is portable to essentially any 32 or 64 bit Unix platform. Performance of generated programs is quite good for a bytecoded implementation: almost twice as fast as Caml Light 0.7. This compiler can be used either as a standalone, batch-oriented compiler that produces standalone programs, or as an interactive, toplevel-based system. The other compiler generates high-performance native code for a number of processors. Compilation takes longer and generates bigger code, but the generated programs deliver excellent performance, while retaining the moderate memory requirements of the bytecode compiler. It is not available on all arches though. This package contains everything needed to develop OCaml applications, including the graphics libraries.

Installation of latest ocamldoc.opt command is available for Debian, Ubuntu, Alpine, Arch, Kali, CentOS, Fedora, Raspbian and macOS. You can copy the command for your OS from above and paste it into your terminal. Once you run the command it will download the 2024 latest package from the repository and install it in your computer/server.