Open Source Mac Libraries - Page 26
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Libraries for Mac
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Intermock
Mocking library to create mock objects with fake data for TypeScript
Intermock is a TypeScript utility developed by Google that automatically generates mock objects and JSON data for TypeScript interfaces using the Faker library. It simplifies frontend and API testing by creating realistic, schema-compliant mock data directly from interface definitions, eliminating the need for manual mock creation. Intermock supports a wide range of TypeScript constructs including interfaces, unions, generics, mapped types, and tuples, ensuring comprehensive type coverage. It can be used both via a command-line interface (CLI) and programmatically through its API, making it suitable for integration into build pipelines or development environments. The tool also allows fine-grained control over output format—object, JSON, or string—and supports JSDoc annotations to define custom Faker data generators. By leveraging Intermock, developers can quickly generate realistic mock datasets for testing, prototyping, and documentation purposes without writing boilerplate code. -
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Investing
Investing Returns on the Market as a Whole
This repository, owned by the user zonination (Zoni Nation), presents a data visualization and analysis project on long-term returns from broad stock market indexes, especially the S&P 500. The author gathers historical price data (adjusted for inflation and dividends) and computes growth trajectories under a “buy and hold” strategy over decades. The key insight illustrated is that over sufficiently long holding periods (e.g. 40 years), the stock market stabilizes and nearly always yields positive returns, even accounting for extreme market crashes and recessions. The visualizations show “return curves” for different starting years and durations, and also illustrate the probability of losses over various time horizons. The project is centered on transparency in finance and encourages users to examine the data themselves; the code is shared in R and uses ggplot2 for plotting. -
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Java Tablesaw
Java dataframe and visualization library
Tablesaw is a dataframe and visualization library that supports loading, cleaning, transforming, filtering, and summarizing data. If you work with data in Java, it may save you time and effort. Tablesaw also supports descriptive statistics and can be used to prepare data for working with machine learning libraries like Smile, Tribuo, H20.ai, DL4J. Import data from RDBMS, Excel, CSV, TSV, JSON, HTML, or Fixed Width text files, whether they are local or remote (http, S3, etc.) Tablesaw supports data visualization by providing a wrapper for the Plot.ly JavaScript plotting library. Here are a few examples of the new library in action. Descriptive stats: mean, min, max, median, sum, product, standard deviation, variance, percentiles, geometric mean, skewness, kurtosis, etc. Add tablesaw-core to your project. You can find the version number for the latest release in the release notes. -
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JavaScript Algo and Data Structures
Algorithms and data structures implemented in JavaScript
javascript-algorithms is an open source repository by Oleksii Trekhleb that provides implementations of algorithms and data structures in JavaScript. Each algorithm includes explanations, complexity analysis, and references for further reading, making it both a coding resource and a study guide. The repository covers topics such as sorting, searching, graph algorithms, cryptography, and data structures like linked lists, stacks, and queues. It is designed to help developers understand algorithm fundamentals and practice problem-solving with JavaScript. Multilingual README files make the resource accessible to a global audience. With strong community engagement, it is one of the most popular algorithm repositories on GitHub. -
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Javassist
Java bytecode engineering toolkit
Javassist (JAVA programming ASSISTant) makes Java bytecode manipulation simple. It is a class library for editing bytecodes in Java; it enables Java programs to define a new class at runtime and to modify a class file when the JVM loads it. Unlike other similar bytecode editors, Javassist provides two levels of API: source level and bytecode level. If the users use the source- level API, they can edit a class file without knowledge of the specifications of the Java bytecode. The whole API is designed with only the vocabulary of the Java language. You can even specify inserted bytecode in the form of source text; Javassist compiles it on the fly. On the other hand, the bytecode-level API allows the users to directly edit a class file as other editors. -
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Jigsaw
Simple static sites with Laravel’s Blade
Jigsaw is a static site generator for PHP developers, created by Tighten. It provides a Laravel-inspired development environment for building static websites and documentation sites using Blade templates and Markdown content. Jigsaw is particularly suited for developers familiar with Laravel who want to create simple, fast, and maintainable sites. -
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Jimp
An image processing library written entirely in JavaScript for Node
An image processing library for Node written entirely in JavaScript, with zero native dependencies. If you're using this library with TypeScript the method of importing slightly differs from JavaScript. Instead of using require, you must import it with ES6 default import scheme. If you're using a web bundles (webpack, rollup, parcel) you can benefit from using the module build of jimp. Using the module build will allow your bundler to understand your code better and exclude things you aren't using. If you're using webpack you can set process.browser to true and your build of jimp will exclude certain parts, making it load faster. The static Jimp.read method takes the path to a file, URL, dimensions, a Jimp instance or a buffer and returns a Promise. In some cases, you need to pass additional parameters with an image's URL. -
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KMP NativeCoroutines
Library to use Kotlin Coroutines from Swift code in KMP apps
A library to use Kotlin Coroutines from Swift code in KMP apps. Both KMP and Kotlin Coroutines are amazing, but together they have some limitations. The most important limitation is cancellation support. Kotlin suspend functions are exposed to Swift as functions with a completion handler. This allows you to easily use them from your Swift code, but it doesn't support cancellation. Besides cancellation support, ObjC doesn't support generics on protocols. The library consists of a Kotlin and Swift part which you'll need to add to your project. -
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Karpathy-Inspired Claude Code Guidelines
A single CLAUDE.md file to improve Claude Code behavior
Karpathy-Inspired Claude Code Guidelines is a curated learning and experimentation repository inspired by the work and teaching philosophy of Andrej Karpathy, designed to help learners build practical competence in deep learning, neural networks, and AI infrastructure. The project organizes a progressive path through exercises, notebooks, code examples, and practical mini-projects that echo Karpathy’s approach to “learning by doing,” where students build core concepts from first principles rather than consuming superficial abstractions. It covers topics like implementing backpropagation from scratch, understanding convolutional and recurrent networks, building simple training loops, and exploring real datasets with hands-on code. This collection makes abstract theoretical ideas concrete by walking learners through real code and tangible outcomes, helping demystify parts of machine learning that often feel opaque in purely textbook settings. -
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Kord
Idiomatic Kotlin Wrapper for The Discord API
Kord is still in an experimental stage, as such we can't guarantee API stability between releases. While we'd love for you to try out our library, we don't recommend you use this in production just yet. Kord was created as an answer to the frustrations of writing Discord bots with other JVM libraries, which either use thread-blocking code or verbose and scope-restrictive reactive systems. We believe an API written from the ground up in Kotlin with coroutines can give you the best of both worlds: The conciseness of imperative code with the concurrency of reactive code. Aside from coroutines, we also wanted to give the user full access to lower-level APIs. Sometimes you have to do some unconventional things, and we want to allow you to do those in a safe and supported way. -
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Kotter
A declarative, Kotlin-idiomatic API for writing dynamic console app
Kotter (a KOTlin TERminal library) aims to be a relatively thin, declarative, Kotlin-idiomatic API that provides useful functionality for writing delightful console applications. It strives to keep things simple, providing a solution a bit more opinionated than making raw println calls but way less featured than something like Java Curses. -
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LLM Datasets
Curated list of datasets and tools for post-training
LLM Datasets curates and standardizes datasets commonly used to train and fine-tune large language models, reducing the overhead of hunting down sources and normalizing formats. The repository aims to make datasets easy to inspect and transform, with scripts for downloading, deduping, cleaning, and converting to formats like JSONL that slot into training pipelines. It highlights instruction-tuning and conversation-style corpora while also pointing to code, math, or domain-specific sets for targeted capabilities. Quality is a recurring theme: examples and utilities help filter low-value samples, enforce length limits, and split train/validation consistently so results are comparable. Licensing and provenance are surfaced to encourage compliant usage and to guide dataset selection in commercial settings. For practitioners, the repo is a practical “starting pantry” that accelerates experimentation and helps keep data wrangling from dominating the project timeline. -
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Language support for Java for VS Code
Java Language Support for Visual Studio Code
Provides Java ™ language support via Eclipse ™ JDT Language Server, which utilizes Eclipse ™ JDT, M2Eclipse and Buildship. Now that Java extension will publish platform-specific versions, it will embed a JRE for supported platforms such as win32-x64, Linux-x64, Linux-arm64, darwin-x64, and darwin-arm64. The embedded JRE is used to launch the Language Server for Java. Users are only responsible for configuring Project JDKs to compile your Java projects. -
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Lazybones
A simple project creation tool that uses packaged project templates
Lazybones is a project creation tool and template manager for Groovy and JVM-based applications. It allows developers to generate new projects from templates with a simple command, filling in details such as project structure, configuration files, and boilerplate code. Templates can be customized or created from scratch, making it easy to enforce consistent setups across teams or organizations. Lazybones supports updating existing projects from newer versions of templates, easing long-term maintenance. It is commonly used to bootstrap Grails, Ratpack, or Gradle-based projects, but it can handle any JVM project layout. By automating the scaffolding process, Lazybones reduces setup time and encourages best practices by distributing pre-approved templates. -
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Learning-SICP
Collection of Chinese cultural projects and course learning materials
Learning-SICP is a community project that localizes the MIT course “Structure and Interpretation of Computer Programs” (SICP) and curates complementary study materials for learners, especially Chinese-speaking Scheme/Lisp students. It focuses on translating the official lecture subtitles into Chinese while preserving the original English content for reference, providing an approachable path to a classic foundational course in computer science. The repository organizes translated subtitles, lecture indices, and supporting documents so learners can follow along with the full video series and consult the book and related readings as they study. Beyond subtitles, it aggregates links to the SICP text, environment setup guides, extended exercises, and FAQ resources to smooth first-time setup and deepen understanding of the material. -
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Linguist
Detect blob languages, suppress generated files and generate graphs
This library is used on GitHub.com to detect blob languages, ignore binary or vendored files, suppress generated files in diffs, and generate language breakdown graphs. Linguist is a Ruby library so you will need a recent version of Ruby installed. There are known problems with the macOS/XCode supplied version of Ruby that causes problems installing some of the dependencies. Accordingly, we highly recommend you install a version of Ruby using Homebrew, rbenv, rvm, ruby-build, asdf or other packaging system, before attempting to install Linguist and the dependencies. Linguist uses charlock_holmes for character encoding and rugged for libgit2 bindings for Ruby. These components have their own dependencies. A repository's languages stats can also be assessed from the command line using the github-linguist executable. Without any options, github-linguist will output the breakdown that correlates to what is shown in the language stats bar. -
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List of independent blogs in Chinese
List of independent blogs in Chinese
List of independent blogs in Chinese is a curated open repository that aggregates and maintains a large list of independent Chinese-language blogs across technology, design, and personal knowledge domains. The project aims to promote the independent blogging ecosystem by making it easier for readers to discover high-quality personal sites outside major content platforms. It is community-driven, allowing contributors to submit and update blog entries so the directory remains current and diverse. The repository functions both as a discovery index and as a cultural snapshot of the independent Chinese web publishing landscape. It is particularly useful for developers, researchers, and readers interested in decentralized content and personal publishing trends. Overall, the project acts as a living catalog that supports the visibility and longevity of independent blogging communities. -
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MINI.NVIM
Library of 40+ independent Lua modules improving overall Neovim
Library of 40+ independent Lua modules improving overall Neovim (version 0.8 and higher) experience with minimal effort. They all share same configuration approaches and general design principles. Think about this project as "Swiss Army knife" among Neovim plugins: it has many different independent tools (modules) suitable for most common tasks. Each module can be used separately without any startup and usage overhead. -
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MLX42
Codam's own fixed, functioning alternative of the miniLibX
MLX42 is a modern C graphics and windowing library built on top of GLFW and inspired by the original MLX library used in 42 school projects. It aims to provide a higher-level, beginner-friendly abstraction for students learning about graphical programming, while also embracing modern practices like event-driven input, texture rendering, and transparency. MLX42 is structured to reduce boilerplate and simplify the creation of games or interactive applications in C, making it an excellent learning and teaching tool for graphics programming fundamentals. -
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MMDeploy
OpenMMLab Model Deployment Framework
MMDeploy is an open-source deep learning model deployment toolset. It is a part of the OpenMMLab project. Models can be exported and run in several backends, and more will be compatible. All kinds of modules in the SDK can be extended, such as Transform for image processing, Net for Neural Network inference, Module for postprocessing and so on. Install and build your target backend. ONNX Runtime is a cross-platform inference and training accelerator compatible with many popular ML/DNN frameworks. Please read getting_started for the basic usage of MMDeploy. -
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Manifolds.jl
Manifolds.jl provides a library of manifolds
Package Manifolds.jl aims to provide both a unified interface to define and use manifolds as well as a library of manifolds to use for your projects. This package is mostly stable, see #438 for planned upcoming changes. The implemented manifolds are accompanied by their mathematical formulae. The manifolds are implemented using the interface for manifolds given in ManifoldsBase.jl. You can use that interface to implement your own software on manifolds, such that all manifolds based on that interface can be used within your code. -
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Markdown to PDF
Hackable CLI tool for converting Markdown files to PDF using Node.js
A simple and hackable CLI tool for converting markdown to pdf. It uses Marked to convert markdown to HTML and Puppeteer (headless Chromium) to further convert the HTML to PDF. It also uses highlight.js for code highlighting. The whole source code of this tool is only ~250 lines of JS ~500 lines of Typescript and ~100 lines of CSS, so it is easy to clone and customize. -
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MediaManager
A modern selfhosted media management system for your media library
MediaManager is a modern, self-hosted media management system that unifies and replaces the traditional “ARR” stack with a single, cohesive platform for discovering, organizing, and automating TV and movie libraries. Rather than relying on separate tools patched together, MediaManager offers a streamlined interface and workflow where media metadata, collection insights, and automation policies live side-by-side in one system. It is designed for ease of deployment with Docker, supports standardized metadata sources such as TMDB and TVDB, and integrates OAuth/OIDC for secure authentication. Users can browse, search, and manage their media with a responsive web frontend while developers benefit from a clean codebase that uses Python and modern web technologies. Its holistic approach toward acquisition, tracking, and library maintenance reduces duplication, improves media discovery workflows, and simplifies long-term management of large media collections. -
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Mega Project List
List of practical projects that anyone can solve in any prog language
Mega Project List by Karan Goel is a massive list of practical programming project ideas that anyone can solve in any programming language, organized into logical categories (Numbers, Classic Algorithms, Data Structures, Text, Networking, Web, Files, Graphics & Multimedia, Security, etc.). The concept is simple but powerful: instead of just memorizing algorithms, you pick a project (for example “Binary to Decimal and Back Converter”), implement it in your favorite language, and gradually build a portfolio of varied programming tasks. The repository has been widely referenced as a go-to for developers looking for ideas to practice, build side-projects, or create interview-prep exercises. Each entry is described in plain language, often with optional “added complexity” suggestions. The repo encourages contributions: you can add new projects, or strip duplicate items, and you can choose any language to implement. -
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MirageOS
MirageOS is a library operating system that constructs unikernels
A programming framework for building type-safe, modular systems. MirageOS is a library operating system that constructs unikernels for secure, high-performance network applications across a variety of cloud computing and mobile platforms. Code can be developed on a normal OS such as Linux or macOS, and then compiled into a fully standalone, specialized unikernel that runs under a Xen or KVM hypervisor. This lets your services run more efficiently, securely and with finer control than with a full conventional software stack.
