Open Source Common Lisp Education Software

Common Lisp Education Software

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Browse free open source Common Lisp Education Software and projects below. Use the toggles on the left to filter open source Common Lisp Education Software by OS, license, language, programming language, and project status.

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  • 1
    Axiom is a computer algebra system. It consists of an interpreter, a compiler and a library of algorithms. Axiom is an excellent research platform as well as a useful tool for scientific programming.
    Downloads: 2 This Week
    Last Update:
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  • 2

    OpenAxiom: Scientific Computation System

    A system for computer algebra and symbolic mathematics

    OpenAxiom is an open source Computer Algebra System. It offers an interactive environment, an expressive programming language, a compiler, a large set of mathematical libraries of interest to researchers and practitioners of computational sciences.
    Downloads: 1 This Week
    Last Update:
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  • 3
    This Project will administer an exam on an applet using 4 answer mutliple choice questions. Only one answer may be selected per question. Later we may improve this but for now this is the scope. We will use XML to read and write exams.
    Downloads: 0 This Week
    Last Update:
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  • 4
    Lisp Koans

    Lisp Koans

    Common Lisp Koans is a language learning exercise

    Lisp Koans is a self-guided learning path for Common Lisp that teaches the language’s idioms through a series of failing tests you progressively make pass. Each koan introduces a concept—symbols, lists, macros, multiple dispatch, reader syntax—then asks you to fill in the blanks and run the suite again. The feedback loop is intentionally tight: fail, reflect, fix, and rerun until the tests become a form of living documentation. Because koans are organized from fundamentals to metaprogramming, learners internalize not just syntax but also Lisp’s philosophy of code-as-data. The exercise format makes it ideal for workshops, katas, or leveling up engineers who have never touched a Lisp before. It’s minimal on infrastructure and maximal on discovery, encouraging use of a REPL and inspector while you solve each puzzle.
    Downloads: 0 This Week
    Last Update:
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  • 5
    Implementation of raytracer with its prototype written in LISP. Goals: lisp knowledge.
    Downloads: 0 This Week
    Last Update:
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