Open Source Common Lisp Algorithms
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Common Lisp Algorithms
View 5972 business solutionsBrowse free open source Common Lisp Algorithms and projects below. Use the toggles on the left to filter open source Common Lisp Algorithms by OS, license, language, programming language, and project status.
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Iris Powered By Generali - Iris puts your customer in control of their identity.Iris Identity Protection API sends identity monitoring and alerts data into your existing digital environment – an ideal solution for businesses that are looking to offer their customers identity protection services without having to build a new product or app from scratch.
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Failed Payment Recovery for Subscription BusinessesFlexPay’s innovative platform uses multiple technologies to achieve the highest number of retained customers, resulting in reduced involuntary churn, longer life span after recovery, and higher revenue. Leading brands like LegalZoom, Hooked on Phonics, and ClinicSense trust FlexPay to recover failed payments, reduce churn, and increase customer lifetime value.
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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.
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Small implementation of Push 3 programming language in Common Lisp. Push 3 is described here http://tinyurl.com/push30. Push is a programming language intended primarily for use in evolutionary computation systems.
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A high-performance functional, set-theoretic collections library. All collections are immutable; updates return a new collection. Supports arbitrary nesting (sets of sets etc.). Implemented with heterogeneous binary trees. Lisp and Java; more to come.
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Loan management software that makes it easy.Bryt Software is ideal for lending professionals who are looking for a feature rich loan management system that is intuitive and easy to use. We are 100% cloud-based, software as a service. We believe in providing our customers with fair and honest pricing. Our monthly fees are based on your number of users and we have a minimal implementation charge.
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This is an attempt to use Genetic Programming for writing a go player in a pseudo-ASM. It is entirely written in Common Lisp.
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The IEEE 1619 Committee open-source reference implementations of encryption algorithms, plus testing and certification suites, for each encryption algorithm included in the standard.
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‘intelliworm’ is a prototype simulation of a Intelligent Species of a common earth worm,which inherits human like decision making capabilities through Neural Network intelligence representation,all developed by integrating .NET with Lisp and Yacc.
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LispSharp is a fully compiled lisp implementation for the .NET Framework. It uses a Lisp dialect similar to ISO Lisp, it has a Command-line toplevel compiler with Read Compile Print Loop.It references any .NET DLL and produces standard .NET assembly.
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Turn traffic into pipeline and prospects into customersDocket is an AI-powered sales enablement platform designed to unify go-to-market (GTM) data through its proprietary Sales Knowledge Lake™ and activate it with intelligent AI agents. The platform helps marketing teams increase pipeline generation by 15% by engaging website visitors in human-like conversations and qualifying leads. For sales teams, Docket improves seller efficiency by 33% by providing instant product knowledge, retrieving collateral, and creating personalized documents. Built for GTM teams, Docket integrates with over 100 tools across the revenue tech stack and offers enterprise-grade security with SOC 2 Type II, GDPR, and ISO 27001 compliance. Customers report improved win rates, shorter sales cycles, and dramatically reduced response times. Docket’s scalable, accurate, and fast AI agents deliver reliable answers with confidence scores, empowering teams to close deals faster.
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cl-string-match
String matching algorithms implementation for Lisp
Common Lisp provides a SEARCH function to lookup given keys in a string, but its implementation can be subotimal: it can be beaten in some cases by even the simpliest brute-force algorithm. This project is aimed at implementing robust string matching algorithms for Common Lisp.
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