# Mathematics References for Software Developers > Search results for `math references for programmers` on awesome-repositories.com. 115 total matches; showing the first 50. Explore on the web: https://awesome-repositories.com/q/math-references-for-programmers **Attribution required: if you use, quote, or summarise this content, you must credit and link back to [this search on awesome-repositories.com](https://awesome-repositories.com/q/math-references-for-programmers).** ## Results - [crystal-lang/crystal](https://awesome-repositories.com/repository/crystal-lang-crystal.md) (20,299 ⭐) — Crystal is a statically typed, compiled programming language designed for high performance and memory safety. It leverages an LLVM-based compiler to translate source code into optimized machine-executable binaries, while its type-inference-based static analysis enforces strict safety rules during the build process. The language distinguishes itself through a fiber-based concurrent runtime that manages lightweight execution units for asynchronous input and output without blocking the main process. It also features a powerful compile-time macro system that allows for the inspection and transformation of the abstract syntax tree, enabling developers to automate repetitive tasks and generate code dynamically during compilation. Furthermore, Crystal provides a native foreign function interface that maps native memory layouts and function signatures to local identifiers, facilitating direct interaction with external system libraries. Beyond its core language features, Crystal includes a comprehensive suite of tooling for the entire software lifecycle. This includes dependency management, automated testing frameworks, documentation generation, and project scaffolding utilities. The ecosystem supports high-performance systems programming, cross-architecture compilation, and the production of statically linked binaries to simplify deployment across diverse environments. - [fincept-corporation/finceptterminal](https://awesome-repositories.com/repository/fincept-corporation-finceptterminal.md) (26,900 ⭐) — FinceptTerminal is a quantitative finance platform and financial engineering library designed for asset valuation, risk management, and fixed-income analytics. It provides a comprehensive suite for algorithmic trading and investment strategy automation, integrating specialized language model agents and node-based workflows to automate market research and alpha generation. The project distinguishes itself with a dedicated game theory analysis engine for calculating Nash equilibria and simulating strategic interactions in competitive markets. It also features a specialized credit risk modeling tool for estimating default probabilities, building credit scorecards, and calculating expected losses. The system covers a broad range of capability areas, including derivatives pricing, yield curve construction, and multi-asset portfolio analysis. It incorporates machine learning tools for credit scorecard development and feature engineering, as well as economic analysis frameworks for utility theory and exchange economies. The platform includes an algorithmic trading suite for real-time trade execution and an LLM investment agent framework for geopolitical and market modeling. - [graphiteeditor/graphite](https://awesome-repositories.com/repository/graphiteeditor-graphite.md) (24,258 ⭐) — Graphite is a node-based visual design environment that integrates vector illustration, raster image processing, and motion graphics generation into a single platform. It utilizes a functional reactive pipeline and a data-flow execution model to propagate state changes through a graph of interconnected nodes, allowing users to construct complex, automated design workflows. The platform distinguishes itself through a context-aware evaluation engine that injects runtime metadata—such as coordinate data and loop indices—directly into the node graph. This enables the creation of procedural geometry and dynamic, position-dependent design logic that responds to real-time inputs. By combining these mathematical operations with time-based animation primitives, the system allows for the creation of interactive visual effects and motion graphics that synchronize with system clocks or pointer movement. The software provides a comprehensive suite of tools for both vector and raster manipulation, including layer-based composition, procedural texture generation, and advanced color management. Users can perform non-destructive image adjustments, apply clipping masks, and generate complex patterns through algorithmic definitions. The environment also supports external integration by fetching remote data and serializing graphical properties into standardized formats. - [donnemartin/interactive-coding-challenges](https://awesome-repositories.com/repository/donnemartin-interactive-coding-challenges.md) (31,529 ⭐) — This project is a comprehensive curriculum for mastering computer science fundamentals and preparing for technical interviews. It provides over 120 interactive Python coding challenges that focus on algorithmic skill development, data structure implementation, and logical problem solving. The learning experience is delivered through a series of executable notebooks that combine instructional content with hands-on coding exercises. Each challenge is self-contained and relies on automated unit tests to verify the correctness of user-implemented solutions against predefined constraints and edge cases. To support long-term retention, the repository also includes a set of digital flashcards designed for spaced-repetition study of core programming concepts and design patterns. The curriculum covers a broad range of topics, including arrays, strings, linked lists, stacks, queues, graphs, trees, recursion, dynamic programming, and bit manipulation. All solutions are implemented using the Python standard library to ensure portability and focus on fundamental language features. - [miloyip/game-programmer](https://awesome-repositories.com/repository/miloyip-game-programmer.md) (18,507 ⭐) — This project is a comprehensive educational resource and knowledge base designed to guide developers through the technical requirements of a career in game programming. It functions as a structured curriculum that organizes essential engineering principles and mathematical foundations into a logical roadmap, facilitating a clear progression from foundational concepts to advanced system mastery. The repository serves as a centralized hub for navigating the multidisciplinary domains of interactive software development. It provides curated references and learning materials across core areas including computer graphics engineering, physics simulation, artificial intelligence, and game engine architecture. By categorizing these complex technical fields into a hierarchical structure, the project simplifies the discovery of industry-standard engineering practices. The content is maintained as a static, file-based index that supports community-driven updates and long-term reference. This approach allows for the collaborative refinement of the curriculum, ensuring that the roadmap remains an evolving resource for developers seeking to build complex game systems. - [keon/algorithms](https://awesome-repositories.com/repository/keon-algorithms.md) (25,269 ⭐) — This repository is a structured educational archive of classic computer science algorithms and data structures implemented in Python. It serves as a reference library designed for study and technical skill development, providing clean, readable examples of fundamental computational techniques rather than production-ready software components. The project distinguishes itself through its idiomatic approach, utilizing native language features and standard library conventions to demonstrate algorithmic logic clearly. Each implementation is organized into a hierarchical directory structure that mirrors standard computer science categories, allowing users to navigate between topics like dynamic programming, graph traversal, and bit manipulation with ease. The collection covers a broad spectrum of problem-solving patterns, including searching, sorting, and various data structure operations, which are useful for technical interview preparation and competitive programming training. Every algorithm is provided as a standalone, self-contained script that requires no external dependencies, making the codebase accessible for quick prototyping and independent exploration. - [basecamp/handbook](https://awesome-repositories.com/repository/basecamp-handbook.md) (6,603 ⭐) — This project is a public company employee handbook that serves as a centralized reference for internal policies, organizational standards, and corporate governance for a distributed workforce. It functions as an operational guide and culture manifesto, detailing the shared values and social norms used to align a global team. The handbook defines a remote-first operational model that emphasizes asynchronous communication and a distributed work infrastructure. It specifies unique organizational practices such as cycle-based development intervals, a customer-facing support rotation for all employees, and a compensation model based on industry market deciles. The documentation covers a broad surface of human resources and operational capabilities. This includes detailed career frameworks with competency matrices for engineering, design, and support roles, as well as comprehensive benefits administration covering health insurance, retirement contributions, and paid leave. It also outlines corporate device management standards, including security baselines and remote wiping procedures for company hardware. - [joshuacc/prose-for-programmers](https://awesome-repositories.com/repository/joshuacc-prose-for-programmers.md) (0 ⭐) — This is a book for programmers. It is a guide to mastering the most difficult programming language of all: human language. - [raywenderlich/swift-algorithm-club](https://awesome-repositories.com/repository/raywenderlich-swift-algorithm-club.md) (29,101 ⭐) — This project is a computer science educational resource and a library of common data structures and algorithms implemented in Swift. It serves as a practical reference for studying complexity and efficiency through solved algorithmic problems and conceptual guides. The collection includes implementations of linear and hierarchical data structures, such as stacks, queues, linked lists, and trees. It covers a wide range of computational patterns, including graph and pathfinding implementations, mathematical numerical methods, and data compression techniques. The project also provides implementations of predictive models and tools for network analysis and data sorting. It applies standardized logic patterns to resolve classic computational puzzles and mathematical challenges. - [sebsjames/maths](https://awesome-repositories.com/repository/sebsjames-maths.md) (8 ⭐) — C++ modules for scalar, vector and complex math. And maths. - [thealgorithms/go](https://awesome-repositories.com/repository/thealgorithms-go.md) (18,085 ⭐) — This repository serves as a comprehensive collection of standard computer science algorithms and data structures implemented in the Go programming language. It functions as an educational resource for developers to study idiomatic code examples and master fundamental computational logic through practical, hands-on implementation. The project provides a reference for building and utilizing essential storage containers, such as linked lists, heaps, and hash maps, to organize information efficiently. It also includes a suite of proven mathematical algorithms for performing complex numerical calculations and statistical analysis, alongside tools for graph theory analysis to model relationships and optimize network paths. Beyond core data structures, the library covers a broad range of computational tasks including text sequence processing and data integrity verification. These implementations allow users to apply established algorithmic approaches to solve common programming challenges and integrate reliable logic into their own software applications. - [spamegg1/math-for-cs-solutions](https://awesome-repositories.com/repository/spamegg1-math-for-cs-solutions.md) (0 ⭐) — Please note that the above book by Epp is much better suited for beginners, whereas MIT Math for CS is much more difficult. (Solutions to that one are here.) - [pixijs/pixijs](https://awesome-repositories.com/repository/pixijs-pixijs.md) (47,416 ⭐) — PixiJS is a high-performance 2D rendering engine designed for building interactive visual content and browser-based games. It provides a hardware-accelerated graphics library that leverages WebGL and WebGPU backends to execute complex scenes, utilizing a hierarchical scene graph to manage object transformations and display order. The project distinguishes itself through a sophisticated architecture that decouples rendering logic from hardware APIs, allowing for consistent performance across diverse browser environments. It features a robust, asynchronous asset pipeline that handles loading, caching, and resolution of media resources, alongside a reactive property system that ensures efficient updates within the scene graph. Developers can extend the engine's core functionality through a modular plugin system and custom environment adapters, enabling usage in non-standard contexts like server-side rendering or background web workers. Beyond its core rendering capabilities, the engine includes a comprehensive suite of tools for interaction handling, visual effects, and performance optimization. It supports advanced features such as batch-based GPU rendering, automated culling, and container texture caching to minimize overhead in high-density scenes. The framework also provides built-in support for text rendering, skeletal animations, and declarative UI layouts, making it suitable for both data visualization and complex interactive interfaces. The library is implemented in TypeScript and offers extensive documentation for its API, including support for custom build configurations to optimize final bundle sizes. - [silviopaganini/maths](https://awesome-repositories.com/repository/silviopaganini-maths.md) (199 ⭐) — learning maths again - [fengdu78/lihang-code](https://awesome-repositories.com/repository/fengdu78-lihang-code.md) (19,548 ⭐) — This repository is a collection of foundational machine learning models and predictive analysis tools designed for the study of statistical learning methods. It serves as an educational resource that demonstrates the mathematical principles of classic algorithms through direct, first-principles implementation. The project distinguishes itself by constructing models from the ground up, relying on fundamental linear algebra and calculus operations rather than high-level abstraction frameworks. Each algorithm is organized into modular, standalone scripts that mirror the sequence of mathematical derivations found in academic literature, prioritizing conceptual clarity and the exposure of internal logic over production-grade performance. The library covers a broad range of statistical learning implementations, allowing users to prototype and execute predictive models to identify patterns within structured datasets. The source code is structured to facilitate hands-on learning, enabling the study of individual algorithms in isolation through sequential data transformation pipelines. - [fffaraz/awesome-cpp](https://awesome-repositories.com/repository/fffaraz-awesome-cpp.md) (71,817 ⭐) — This project is a comprehensive, curated directory of high-quality libraries, tools, and educational resources for C and C++ development. It serves as an ecosystem discovery index, helping developers navigate the vast landscape of third-party components, frameworks, and technical documentation available for the language. The collection is distinguished by its focus on high-performance systems programming and technical mastery. It provides deep coverage of specialized domains including SIMD-accelerated data processing, compile-time template metaprogramming, and asynchronous event-driven architectures. The repository also acts as a developer knowledge base, offering access to industry-standard coding guidelines, conference materials, and academic papers that support professional software engineering. Beyond core language features, the directory catalogs a wide array of practical tools for the entire development lifecycle. This includes build systems, static analysis tooling, debuggers, and integrated development environments. It also covers a broad surface of application-level capabilities, ranging from scientific computing and embedded systems development to graphics, networking, and cross-platform library integration. - [terkelg/math](https://awesome-repositories.com/repository/terkelg-math.md) (121 ⭐) — Math snippets with graphic programming in mind. - [trekhleb/javascript-algorithms](https://awesome-repositories.com/repository/trekhleb-javascript-algorithms.md) (196,089 ⭐) — This repository is a comprehensive collection of data structures and algorithms implemented in JavaScript, designed primarily as an educational resource for computer science study and technical interview preparation. It provides modular implementations of fundamental programming concepts, allowing developers to explore algorithmic logic and data organization through self-contained, verifiable code examples. The library distinguishes itself by pairing every implementation with formal Big O notation, providing predictable insights into time and space scaling requirements. Each algorithm is structured around established computational paradigms—such as dynamic programming, greedy strategies, and backtracking—and is verified against a suite of automated unit tests to ensure logical correctness and consistent behavior. The project covers a broad capability surface, including graph traversal, search and sorting strategies, string analysis, and mathematical operations. It also features specialized utilities for cryptography, probabilistic data processing, machine learning classification, and image manipulation. These components are organized into standardized interfaces to facilitate comparison and integration. - [libgdx/libgdx](https://awesome-repositories.com/repository/libgdx-libgdx.md) (24,816 ⭐) — LibGDX is a Java-based framework designed for cross-platform game development, enabling the creation and deployment of 2D and 3D games across desktop, mobile, and web environments from a single codebase. It functions as a comprehensive library that abstracts hardware-accelerated graphics, audio, input, and file system access, providing a unified interface for developers to manage game logic and application lifecycles. The framework distinguishes itself through a high-performance architecture that prioritizes efficiency and native interoperability. It utilizes a batch-oriented graphics pipeline to minimize GPU state changes and employs direct-buffer native marshalling to exchange large data arrays between managed and native memory without expensive copying. Developers can leverage a JNI-based native bridge to embed C and C++ code directly within Java source files, while an object-pooling memory management system helps maintain consistent frame rates by recycling frequently instantiated objects. Beyond its core rendering and performance capabilities, the project includes a suite of modular tools for physics simulation, asset management, and third-party service integration. It supports complex game mechanics through entity management, collision detection, and artificial intelligence frameworks, alongside tools for UI construction, audio processing, and network communication. The platform-abstraction-based backend ensures that these features remain consistent across different operating systems and hardware targets. The project provides extensive build-time utilities for automating asset processing, native library compilation, and project scaffolding. It is designed to be integrated into standard Java development workflows, with documentation and reference implementations available to assist in managing application lifecycles and cross-platform deployment. - [jaysavsani07/math-metrix](https://awesome-repositories.com/repository/jaysavsani07-math-metrix.md) (0 ⭐) — Math Matrix : Train Your Brain, Improve Math Skill - [plantuml/plantuml](https://awesome-repositories.com/repository/plantuml-plantuml.md) (13,093 ⭐) — PlantUML is a text-to-diagram generator that translates human-readable markup into structured graphical representations. It functions as a diagram-as-code tool, allowing users to create and maintain technical documentation, architectural models, and flowcharts by decoupling diagram content from visual layout. The project distinguishes itself through a comprehensive rendering pipeline that processes domain-specific markup into various output formats, including vector and raster graphics. It utilizes a graph-based layout engine to calculate spatial positioning, while a declarative styling layer maps configuration attributes to final rendering instructions. This approach enables the generation of diverse visual models, ranging from software architecture and process flows to project management charts and interface mockups. The platform supports extensive data integration, allowing for the embedding of structured formats like JSON and YAML directly into diagram definitions. It also provides advanced modeling primitives for defining complex system logic, state transitions, and hierarchical relationships. Users can further enhance their diagrams with rich text formatting, mathematical notation, and metadata such as hyperlinks and tooltips. The tool integrates into automated workflows through command-line execution and build system tasks, ensuring that visual documentation remains synchronized with source code. It also offers interactive browser-based editing environments for real-time previewing and generation. - [cbaggers/rtg-math](https://awesome-repositories.com/repository/cbaggers-rtg-math.md) (58 ⭐) — common lisp library providing common math functions used in games - [mrdoob/three.js](https://awesome-repositories.com/repository/mrdoob-three-js.md) (113,086 ⭐) — This project is a high-level 3D graphics engine designed to render complex, hardware-accelerated environments within web browsers. It provides a comprehensive abstraction layer that manages scene graphs, cameras, and lighting, mapping high-level scene definitions onto low-level graphics APIs. By decoupling these definitions from specific hardware targets, the engine ensures consistent performance across diverse browsers and devices. The framework distinguishes itself through a robust architecture that includes a unified math library for high-frequency spatial calculations and a physically based material system that simulates real-world light interaction. It supports advanced visual fidelity through a multi-pass post-processing pipeline and a node-based shader composition system, allowing for complex surface appearances and full-screen effects. Developers can manage intricate object hierarchies and skeletal animations, including inverse kinematics, to create dynamic and lifelike interactive content. Beyond core rendering, the engine provides extensive tools for geometry construction, procedural modeling, and immersive virtual reality development. It includes performance-oriented features such as GPU-accelerated geometry instancing and general-purpose GPU computation to handle large object counts and complex data processing. The system also facilitates asset portability through standard export formats and provides integrated handlers for user interaction and camera navigation. - [hakimel/reveal.js](https://awesome-repositories.com/repository/hakimel-reveal-js.md) (71,731 ⭐) — This project is a web-native presentation framework that renders slide decks from standard HTML or Markdown. It functions as a declarative slide engine, managing navigation, state persistence, and lifecycle events through a configuration-driven interface. By leveraging standard web technologies, it enables the creation of responsive, browser-based presentations that support complex layouts, nested transitions, and interactive content. The framework distinguishes itself through a modular, plugin-based architecture that allows developers to extend core functionality using custom hooks and event listeners. It provides sophisticated visual control, including CSS-transform-based scaling to ensure content fits any viewport, automated element animations between slides, and incremental rendering of content fragments. Additionally, it supports multi-directional navigation, including vertical slide stacks, and offers robust synchronization capabilities for remote presentation control and multi-device audience tracking. Beyond its core engine, the project includes comprehensive utilities for technical documentation, such as syntax-highlighted code blocks with line-specific focus and integrated mathematical typesetting. It provides native support for React-based applications through dedicated components and adapters, and includes tools for exporting presentations to PDF. The framework is designed for flexibility, allowing for custom themes, dynamic configuration updates, and the embedding of interactive media or external web content directly into the slide deck. The project is distributed as an ES module, facilitating integration into modern build processes and script bundling environments. - [rust-lang/reference](https://awesome-repositories.com/repository/rust-lang-reference.md) (1,528 ⭐) — The Rust Reference - [ocornut/imgui](https://awesome-repositories.com/repository/ocornut-imgui.md) (73,875 ⭐) — This project is an immediate-mode graphical user interface library designed for rapid development of tools and debugging interfaces. By generating UI geometry every frame through procedural code, it eliminates the need for persistent state synchronization between application data and the interface. It is primarily intended for integration into existing rendering pipelines, where it produces raw vertex buffers and draw commands that are agnostic to the underlying graphics API. The library distinguishes itself through a highly decoupled architecture that supports complex, dockable, and multi-viewport layouts. It manages window positions, tab dragging, and node splitting, allowing developers to detach interface elements into independent operating system windows. To ensure consistent interaction across diverse environments, it maps native input events into a unified format and provides robust identifier-based scoping to track element states across frames. The framework offers a broad capability surface for building sophisticated engine tooling and diagnostic utilities. It includes support for advanced visual components such as node editors, 2D and 3D plotters, and specialized inspectors, alongside infrastructure for DPI scaling and custom shape rendering. The system is designed for high portability, featuring compile-time configuration options that allow developers to adapt core data structures and mathematical types to specific engine requirements. The repository provides extensive examples for connecting the library to major graphics backends and frameworks, alongside tools for generating language-specific bindings. - [ankitects/anki](https://awesome-repositories.com/repository/ankitects-anki.md) (28,571 ⭐) — Anki is a cross-platform flashcard management system designed to optimize long-term memory retention through spaced-repetition learning. It functions as a digital learning assistant that uses active recall practice and automated scheduling algorithms to determine the ideal timing for card reviews based on individual performance history. The core system relies on a local relational database to ensure data persistence and portability, while supporting complex study workflows through flexible note-type schema modeling and template-driven content rendering. The platform distinguishes itself through deep extensibility and content customization. Users can modify core application behavior and scheduling logic via a plugin-based framework or by implementing custom scheduling models. The interface supports rich media integration, including audio, images, and text-to-speech, which can be styled using HTML and CSS templates to suit specific subjects. Advanced users can further tailor the environment with dynamic script embedding, custom note types, and specialized card layouts like cloze deletions or image occlusions. Beyond its core scheduling capabilities, the software provides a comprehensive suite of tools for managing large collections of study material. This includes hierarchical deck organization, tag-based content management, and advanced search and filtering utilities. The system also offers robust observability features, such as detailed performance analytics, study progress visualization, and tools for identifying and managing problematic study items. Anki facilitates consistent learning across multiple devices through a built-in synchronization protocol that merges collection data and media assets. The application is distributed as a compiled build and includes extensive configuration options for display rendering, input methods, and system integration to ensure compatibility across various desktop environments. - [mathllm/math-v](https://awesome-repositories.com/repository/mathllm-math-v.md) (139 ⭐) — [NeurIPS 2024] MATH-Vision dataset and code to measure multimodal mathematical reasoning capabilities. - [math-comp/analysis](https://awesome-repositories.com/repository/math-comp-analysis.md) (0 ⭐) — [nix-action-shield]: https://github.com/math-comp/analysis/actions/workflows/nix-action-master.yml/badge.svg?branch=master [nix-action-link]: https://github.com/math-comp/analysis/actions?query=branch%3Amaster+event%3Apush - [pixieditor/pixieditor](https://awesome-repositories.com/repository/pixieditor-pixieditor.md) (7,840 ⭐) — PixiEditor is a multi-functional graphics suite that serves as a pixel art editor, a node-based graphics editor, and a vector graphics tool. It functions as a shader-based painting tool and 2D animation software, providing a comprehensive environment for creating raster images and frame-by-frame motion. The project is distinguished by its use of node-based workflows for building complex image transformations, visual effects, and custom digital brush designs. It utilizes a shader-based brush engine and a node graph to define personalized painting tool behaviors and procedural animations. The application covers a wide range of capabilities including 2D animation production with onion skinning, vector graphic illustration with boolean shape operations, and extensive image processing through GPU-accelerated modifications. It also provides comprehensive color management, layer blending, and a mathematical node graph for visual composition. - [egametang/et](https://awesome-repositories.com/repository/egametang-et.md) (9,813 ⭐) — ET is a C# game server framework and distributed actor model runtime designed for large-scale multiplayer environments. It provides a comprehensive toolkit for building distributed game backends, incorporating a multiplayer network transport layer and a specialized suite for game AI and pathfinding. The framework is distinguished by its use of a distributed actor model to scale processing across multiple threads and servers, utilizing isolated actors for state management and messaging. It features a unified codebase architecture that allows shared logic between the server and client, enabling the development of automated bots for stress testing and quality assurance. The system covers a broad range of capabilities including multi-protocol network routing with support for TCP, WebSocket, and KCP, as well as zero-garbage collection binary serialization. It includes tools for server-side navigation meshes, visual decision trees, and dynamic library hot-reloading for updating logic without restarting processes. The framework provides native integration with the Unity3D engine for entity management and runtime inspection. - [qmk/qmk_firmware](https://awesome-repositories.com/repository/qmk-qmk-firmware.md) (20,478 ⭐) — This project is a keyboard firmware framework and programmable keyboard ecosystem designed for Atmel AVR and ARM microcontrollers. It provides the embedded software necessary to implement the USB Human Interface Device standard, allowing hardware to communicate keystrokes and mouse movements to a host computer. The framework distinguishes itself by offering a comprehensive toolchain for custom hardware development, including a command line interface for project scaffolding, firmware flashing, and configuration linting. It supports a variety of flexible configuration methods, allowing users to define layouts and pin mappings through structured JSON files or visual design interfaces. The system covers a wide range of capabilities, including matrix scanning for switch detection, layer-based keymap resolution, and complex input handling such as key chords and tap-hold timing. It also includes drivers for hardware integration, such as battery level sampling, split keyboard synchronization, and the control of addressable RGB LEDs and backlighting. The project includes a development toolchain installer to set up the compilers and utilities required to build and deploy the firmware. - [auburnsounds/godot-math](https://awesome-repositories.com/repository/auburnsounds-godot-math.md) (0 ⭐) — godot-math is a D port of Godot's linear algebra with unchanged semantics. - [typst/typst](https://awesome-repositories.com/repository/typst-typst.md) (54,320 ⭐) — Typst is a programmable, markup-based typesetting engine designed for professional document creation. It functions as a scriptable publishing toolchain that transforms plain text and code into complex, paginated outputs. By utilizing a high-performance compiler, the system automates document assembly, mathematical rendering, and dynamic content generation, providing a unified workflow for academic and technical authoring. The engine distinguishes itself through a declarative layout framework that uses cascading rules to manage document structure and visual styling. Unlike traditional systems, it employs an incremental layout engine that performs multiple passes to resolve cross-references, counters, and dynamic content placement. This is supported by a sandboxed functional scripting runtime, which allows users to define custom logic for data processing and layout manipulation, ensuring that document state remains consistent throughout the compilation process. The system provides a comprehensive suite of tools for managing document elements, including automated bibliography generation, structured table creation, and hierarchical sectioning. It supports precise control over page geometry and typography, while its introspection capabilities allow for advanced querying of document state and element locations. These features are complemented by a robust set of foundational data management primitives, enabling users to handle complex collections, numeric data, and time-based logic within their documents. The project provides a command-line interface for compiling source files into portable formats like PDF, with built-in support for accessibility standards. Detailed documentation, including syntax references and architectural overviews, is available to guide users through the installation and implementation of the typesetting environment. - [beakerboy/vba-math-objects](https://awesome-repositories.com/repository/beakerboy-vba-math-objects.md) (0 ⭐) — VBA Math Objects - [hammerspoon/hammerspoon](https://awesome-repositories.com/repository/hammerspoon-hammerspoon.md) (14,497 ⭐) — Hammerspoon is a programmable automation engine for macOS that enables deep system-level control through a Lua scripting environment. By bridging high-level scripts with native Objective-C APIs, it allows users to interact with the operating system's accessibility tree, intercept hardware input streams, and manage the lifecycle of running applications. The project distinguishes itself through an event-driven architecture that registers asynchronous hooks for system notifications and hardware events. This allows for real-time automation, such as remapping keyboard and mouse inputs, managing window layouts via grid-based positioning, and responding to changes in network status, battery levels, or display configurations. Its modular extension system supports the loading of self-contained units of functionality, enabling users to tailor the environment to specific workflows. Beyond core automation, the platform provides a comprehensive suite of capabilities for network integration, media and hardware control, and data persistence. It includes tools for managing audio devices, interacting with professional control panels, rendering custom graphical overlays, and executing shell commands or system scripts. The environment also supports complex window management, including spatial navigation and tabbed grouping, alongside monitoring utilities for system hardware and diagnostic logging. The project provides a command-line interface for managing configurations and includes built-in documentation servers to assist with script development. - [bqi343/cp-notebook](https://awesome-repositories.com/repository/bqi343-cp-notebook.md) (2,840 ⭐) — cp-notebook is an algorithmic knowledge base and implementation library designed for competitive programming practice. It serves as a system for computational problem solving, allowing for the organization of problem sets, solution templates, and the study of competition mathematics. The project utilizes a taxonomy-based tagging system and schema-driven organization to map computational tasks to a consistent file structure. It employs a language-agnostic template engine and markdown-based rendering to transform raw text and code snippets into a formatted, static knowledge base for fast lookup. Data is managed through flat-file storage and persistence to facilitate version control and portable migration of algorithmic patterns and strategies. - [avik-jain/100-days-of-ml-code](https://awesome-repositories.com/repository/avik-jain-100-days-of-ml-code.md) (51,254 ⭐) — This project is a structured educational curriculum designed to guide developers through the fundamentals of machine learning. It functions as a technical skill builder, offering a curated roadmap of progressive coding challenges that cover core algorithms, statistical concepts, and essential data science libraries. The repository distinguishes itself through an iterative sequencing of content, organizing complex technical topics into a daily progression that facilitates incremental mastery. It integrates third-party academic lectures and educational resources to provide necessary theoretical context, which is then paired with library-centric implementations that translate mathematical theory into functional code. The curriculum encompasses a broad capability surface, including deep learning foundations, statistical model implementation, and data science essentials. Learners engage with these topics through modular units that utilize interactive computational documents, allowing for the combination of live code, mathematical explanations, and visual data exploration to verify model performance. - [google/tree-math](https://awesome-repositories.com/repository/google-tree-math.md) (0 ⭐) — tree-math makes it easy to implement numerical algorithms that work on JAX pytrees, such as iterative methods for optimization and equation solving. It does so by providing a wrapper class tree_math.Vector that defines array operations such as infix arithmetic and dot-products on pytrees as if… - [braydie/howtobeaprogrammer](https://awesome-repositories.com/repository/braydie-howtobeaprogrammer.md) (16,218 ⭐) — HowToBeAProgrammer is a comprehensive software engineering career guide and professional development framework. It serves as a curated-knowledge repository and handbook designed to help programmers acquire technical habits and social competencies necessary for professional advancement. The project distinguishes itself by integrating technical craftsmanship with a detailed manual for technical leadership and organizational navigation. It provides specific strategies for career progression, such as compensation negotiation, promotion readiness, and the management of professional boundaries to prevent burnout. The guide covers a broad surface of engineering capabilities, including system performance optimization, technical debugging and testing, and software architecture. It also provides extensive resources on project management, quality assurance, and professional communication for interacting with non-technical stakeholders. Content is organized into modular educational modules and supports multi-language localization to make its professional and technical advice accessible to a global audience. - [jaywcjlove/reference](https://awesome-repositories.com/repository/jaywcjlove-reference.md) (14,969 ⭐) — This project is a centralized knowledge base and documentation platform designed to organize programming syntax, configuration options, and technical reference guides. It functions as a static site generator that converts markdown files into interlinked HTML pages, providing a structured environment for managing and retrieving technical information. 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It serves as a comprehensive directory for developers and artists seeking to build interactive media, procedural visuals, and real-time digital experiences. The collection distinguishes itself by aggregating a wide range of technical tools, frameworks, and educational materials necessary for mastering creative technology. It provides access to specialized graphics libraries, shader editors, and hardware interfaces, while also offering guidance on the mathematical foundations and algorithmic logic required for complex visual output. Beyond core tooling, the repository supports the integration of machine learning and computer vision into creative workflows. It connects practitioners to a broader ecosystem of tutorials, academic resources, and community forums, facilitating the development of interactive installations and high-performance audiovisual projects. - [pablof7z/dvm-references](https://awesome-repositories.com/repository/pablof7z-dvm-references.md) (3 ⭐) — reference implementation of a DVM (Data Vending Machine) backend - [thealgorithms/python](https://awesome-repositories.com/repository/thealgorithms-python.md) (221,992 ⭐) — This project is a comprehensive repository of verified computational implementations designed to serve as an educational resource for computer science and algorithmic problem solving. It provides a structured collection of code examples that cover fundamental data structures, mathematical operations, and core programming concepts, allowing users to study the logic and complexity behind various computational methods. 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Beyond core technical topics like system architecture, distributed systems, and algorithmic design, the project provides extensive guidance on professional growth, including resume optimization, soft skills, and strategies for maintaining mental health and productivity in demanding technical environments. The repository covers a broad capability surface, ranging from low-level system concerns such as memory management and data structures to high-level practices in platform engineering and software craftsmanship. It also incorporates resources for collaborative development, security protocols, and interactive learning, ensuring that developers have access to authoritative information for both daily problem-solving and long-term career advancement. 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It provides specialized tools for managing asset lifecycles, including vesting schedules, supply management, and royalty configurations, alongside frameworks for smart account development and signature-based meta-transactions. The repository serves as a primary resource for Solidity developers, offering extensive documentation and pre-built templates to accelerate the deployment of secure, production-ready smart contracts. - [experience-monks/math-as-code](https://awesome-repositories.com/repository/experience-monks-math-as-code.md) (15,482 ⭐) — This project is a mathematics programming pattern library and translation guide designed to map academic mathematical symbols and formulas into programmable logic. It serves as a reference for converting complex notations into software implementations. The resource provides mapping guides for translating calculus, linear algebra, and set theory into iterative loops, functional code, and boolean expressions. 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