ML language based on complete class-based objective system
Objective Caml 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.

Objective Caml 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 (better than
Standard ML of New Jersey 1.08 on our tests), while retaining the
moderate memory requirements of the bytecode compiler.

Maintainer: Anil Madhavapeddy <avsm@openbsd.org>

WWW: http://www.ocaml.org/
