Git Product home page Git Product logo

franz-lisp's Introduction

Franz Lisp: A Classic Lisp Implementation from UC Berkeley

What Is Franz Lisp?

Franz Lisp was a Lisp implementation developed at the University of California, Berkeley by students of Richard Fateman. They developed Franz Lisp for porting Macsyma algebra system, an enormous Lisp application written in Maclisp, to DEC VAX-11 minicomputer. UC Berkeley distributed it with the Berkeley Software Distribution. Franz Inc. was founded to provide commercial support of Franz Lisp, but the company switched to Common Lisp afterward.

License

The original code is retrieved from Franz Lisp Opus 38.93b at the CMU AI Repository. According to the page, that is placed in the public domain. However, since the origin of the code is the Berkeley Software Distribution, it would be safer to treat it as distributed under the term of the 4-clause BSD License. Thus, I decided to do so. Kamil Rytarowski pointed it out, thanks a lot!

Note that UCB has declared that the clause 3 is no longer effective for their code in BSD, so Franz Lisp in this repository is practically under the term of the 3-clause BSD License that is OSI-approved and GPL-compatible.

See ftp://ftp.cs.berkeley.edu/pub/4bsd/README.Impt.License.Change for details.

Also, this repository contains no code from AT&T.

A Short Guide

The doc/ directory contains the Franz Lisp manual written in roff. The manual in the PDF format can be obtained at the Software Preservation Group's Web site.

The franz/ directory contains the source code of the interpreter called lisp. It is mostly written in C but plain old (pre-ANSI) one. There is also some assembly code for VAX, Motorola 68000 and so on.

The lisplib/ directory contains Lisp code that may or may not run on Franz Lisp, from official essential libraries to some advanced libraries such as a port of Flavors (an object-oriented Lisp system) and the loop macro. You must have fun here! :)

The liszt/ directory contains the source code of the compiler called liszt. It is written in Franz Lisp itself. The names of franz and liszt are taken from the Hungarian composer Franz Liszt.

The pearl/ directory contains an implementation of PEARL (Package for Efficient Access to Representations in Lisp) AI programming language that was developed by Michael Deering and Joseph Faletti at the Berkeley AI Research Project (BAIR). Some information is available at the Michael Deering's Web page about PEARL.

The utils/ directory contains some utilities used by the original developers.

franz-lisp's People

Contributors

omasanori avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar  avatar  avatar  avatar  avatar

franz-lisp's Issues

Convert the manual

It would be great if the manual could be browsed on web, using e.g. Read the Docs.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.