Open Source Mac Algorithms - Page 34

iMet-Q (intelligent Metabolomic Quantitation) is an automated tool with friendly user interfaces for quantifying metabolites in full-scan liquid chromatography-mass spectrometry (LC-MS) data. It has a complete quantitation procedure for noise removal, peak detection and peak alignment. In addition to accurate quantitation, iMet-Q provides the charge states and isotope ratios of detected compounds. It accepts input data in netCDF, mzXML, and mzML format and exports quantitation results in csv and txt format. The software source code is freely available under the license of GPL2.

Interactive Coding Challenges is a collection of practice problems designed to strengthen data structures, algorithms, and problem-solving skills. The repository emphasizes a learn-by-doing approach: you read a prompt, attempt a solution, and verify behavior with tests, often within notebooks or scripts. Problems span arrays, strings, stacks, queues, linked lists, trees, graphs, dynamic programming, and more, mirroring common interview themes. Many challenges include hints and reference solutions so you can compare approaches and learn idiomatic patterns. The structure encourages incremental improvement—start with a brute-force idea, then refine to optimal time and space complexity. It serves both as a self-study path and as a warm-up bank for interview prep or coding katas.

IntZip is a lossless compression algorithm for strictly increasing lists of unsigned integers. Compression means that a suitable list of integers can be encoded to a (whenever possible) shorter list of the same integer format. An arbitrary set of integers (i.e., a collection of unique numbers where the order does not matter) may be transformed into suitable input data by way of translation and sorting. The main focus of the algorithm is to encode structural characteristics of a given list, such as coherent intervals and repeated distances. Therefore, the quality of compression depends on diversity rather than size. In most cases, IntZip is able to achieve much better compression results than general compression algorithms on such data sets.

Algorithm Visualizer for IPython/Jupyter Notebook. If you use the display(TracerObject) code from where you want to see, you can use it without any special modification.

An information extraction library implementing modern algorithms for the extraction of named entities from text.

jChecs is an open source Java chess program, designed to introduce the basics of computer chess programming concepts.

Simple genetic programming framework. Features a robust set of interfaces and standard implementations for rapid development and ease of experimentation.

jPasswordWallet strores your passwords in security. Find, modify or create quickly a password in the database. Organize your passwords as you like with creating categories and sub categories.

jStates is a java library for easy state machine design and implementation.It uses XML to define states and state transitions. jStates is aimed at easy integration with desktop J2SE applications, Struts, Commons Validator, Web and other J2EE technologies

A simple (~20 line python) O(n^6) algorithm for the traveling salesman problem that seems to do pretty well for most graphs; so well that I have not been able to find a graph which it does optimally solve. Those with spare cycles are welcome to help out.

Implementation of various string similarity and distance algorithms: Levenshtein, Jaro-winkler, n-Gram, Q-Gram, Jaccard index, Longest Common Subsequence edit distance, cosine similarity. A library implementing different string similarity and distance measures. A dozen of algorithms (including Levenshtein edit distance and sibblings, Jaro-Winkler, Longest Common Subsequence, cosine similarity etc.) are currently implemented. The main characteristics of each implemented algorithm are presented below. The "cost" column gives an estimation of the computational cost to compute the similarity between two strings of length m and n respectively. If the alphabet is finite, it is possible to use the method of four russians (Arlazarov et al. "On economic construction of the transitive closure of a directed graph", 1970) to speedup computation. This was published by Masek in 1980 ("A Faster Algorithm Computing String Edit Distances").

natural sort / order of arrays, sorts integer, string and mixed arrays - also strings with numbers included will be ordered naturaly, natsort and natcasesort for javascript

javascript-algorithms is a repository that implements a comprehensive collection of classic data structures and algorithmic solutions in JavaScript — including sorting, searching, graph algorithms, dynamic programming, and more. It serves as a learning and reference resource for developers wanting to understand how standard algorithms can be expressed in JavaScript, bridging the gap between theoretical algorithm knowledge and practical implementation usable in web or Node.js contexts. Because algorithms are implemented in a language (JavaScript) many developers use daily, the repo becomes especially useful for students, interview-preparation candidates, or anyone wanting to learn algorithmic thinking without switching languages. The code tends to be readable, structured, and adapted to JavaScript idioms, making it easier to follow for JS developers.

Algorithms and data structures implemented in JavaScript with explanations and links to further readings

This project is a reasoner for the description logic EL+. It computes the concept subsumption hierarchy. It is an OWL 2 EL reasoner.

Java library for operations with Iterables and other data structures in functional way.

JMathStudio is a Java based digital image and signal processing toolkit/library. It is simple to use, portable, light (~300 Kb), extendable and free. Full source code available at https://github.com/bhavyaajani/jmathstudio Android compatible JMathStudio is available @ https://sourceforge.net/projects/jmathstudio-android/

jpaul is a Java implementation of several algorithms widely used in program analysis. It emphasizes flexibility and ease-of-use and is independent of any specific compiler infrastructure project. BSD Licence.

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jsGorithm is a Javascript algorithm execution viewer that can be used as an educative tool for introductory courses on programming and algorithmics, with programs written in a subset of C/C++/Javascript. It can be used for teaching and learning.

The judyhash project provides C++ STL-style maps and sets based on unique algorithms and having unique characteristics.

This project has be renamed to jnum and moved under the crush-software project. No further SVN commits here...

A simple program that solves linear equation systems. As of now only numerical coefficients are supported. The program is very simple and not suited for big matrices, since it uses laplace's method.

This project has moved to github at http://lmwtree.devries.ninja.

Due to frequent malicious attacks on my algorithm website, this site opens multiple mirror sites at the same time. The experience of studying on this site will be better with my Chrome quiz plug-in. At present, this website can take you hand in hand to solve more than 200 algorithm problems, and it is constantly updated. All of them are based on force-related questions, covering all question types and skills. I have added this article at the beginning of each article. Links to topics that can be solved, you can go to the corresponding topic immediately after reading the article. I also organized all the topics explained on this site into a list of topics. My readers can be roughly divided into two categories: one kind is completely uninterested in algorithms, and belongs to the readers who learn algorithms for written exams, the other kind is readers who are interested in algorithms and can enjoy pure knowledge.