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Clozure CL (CCL) is a Common Lisp implementation. It implements the full ANSI Common Lisp standard with several extensions ( CLOS MOP , threads, CLOS conditions, CLOS streams, ...). It contains a command line development environment, an experimental integrated development environment (IDE) for Mac OS X using the Hemlock editor, and can also be ...
Steel Bank Common Lisp (SBCL) is a free and open-source Common Lisp implementation that features a high-performance native compiler, Unicode support and threading. It is open source software, with a permissive license.
Clozure CL (CCL) Originally a free and open-source fork of Macintosh Common Lisp. As that history implies, CCL was written for the Macintosh, but Clozure CL now runs on macOS, FreeBSD, Linux, Solaris and Windows. 32 and 64 bit x86 ports are supported on each platform. Additionally there are Power PC ports for Mac OS and Linux.
CL programmers use the language's package facility to declare which functions or data structures are intended for export. Apart from normal ("primary") methods, there also are :before, :after, and :around "auxiliary" methods. The former two are invoked prior to, or after the primary method, in a particular order based on the class hierarchy.
Rich Hickey, creator of Clojure. Rich Hickey is the creator of the Clojure language. [19] Before Clojure, he developed dotLisp, a similar project based on the .NET platform, [27] and three earlier attempts to provide interoperability between Lisp and Java: a Java foreign language interface for Common Lisp (jfli), [28] A Foreign Object Interface for Lisp (FOIL), [29] and a Lisp-friendly ...
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A machine to interpret compact bytecode (which can be emitted from the compiler). This is rarely used now, but was popular in early CMUCL releases because image sizes were drastically reduced at a time where download bandwidth on the Internet was low. A native code compiler named "Python" (not to be confused with the Python programming language ...
CLISP is extremely portable, running on almost all Unix-based operating systems as well as on Microsoft Windows.Although interpreting bytecode is usually slower than running compiled native binaries, this is not always a major issue (especially in applications like Web development where I/O is the bottleneck).