Open Source Linux Software Development Software - Page 97
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Software Development Software for Linux
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Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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Lucky
A full-featured Crystal web framework that catches bugs for you
Lucky is a web framework written in Crystal. It helps you work quickly, catch bugs at compile time, and deliver blazing-fast responses. Lucky is extremely fast and uses very little memory. You and your users will love the extra dose of speed. Authentication, asset management, CORS, database ORM, and more can all be included when creating a new Lucky project. Instead of finding bugs in QA or in production, Lucky is designed to catch as many bugs as possible at compile time. Lucky uses Action classes for handling HTTP requests and responses. The classes map the routes and parameters it handles to a response block. Lucky can generate these classes for you with ’lucky gen.action`. Using a class per action provides very solid automatic error detection, as well as the generation of routing, path, and link helpers and methods. -
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LunaSea
Self-hosted software controller built using Flutter
LunaSea is a fully featured, open source self-hosted controller focused on giving you a seamless experience between all of your self-hosted media software remotely on your devices. LunaSea even comes with support for webhook-based push notifications, multiple instances of applications using profiles, backup and restore functionality for your configuration, an AMOLED black theme, and more! -
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M3U8
Parser and generator of M3U8-playlists for Apple HLS. Library for Go
This is the most complete open-source library for parsing and generating of M3U8 playlists used in HTTP Live Streaming (Apple HLS) for internet video translations. M3U8 is a simple text format and parsing library for it must be simple too. It does not offer ways to play HLS or handle playlists over HTTP. -
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MDB Vue UI Kit
Vue 3 & Bootstrap 5 & Material Design 2.0 UI KIT
Bootstrap 5 & Vue 3 UI KIT - 700+ components, MIT license, simple installation. MDB is a collection of free Bootstrap templates, themes, design tools & resources. Simple installation via .zip, npm or cdnjs. Free Hosting, WordPress support, custom domains, SSL support, free database, frontend & backend templates, webpack starter included, git repository, FTP & Jenkins support. -
Gemini 3 and 200+ AI Models on One PlatformBuild generative AI apps with Vertex AI. Switch between models without switching platforms.
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MDUI
Develop Material Design web applications
MDUI is beautiful, lightweight, and easy to use, it makes it easier for you to develop Material Design web applications. 19 main colors, 16 accent colors, 1-night theme, just add a CSS class to toggle. And supports automatic theme switching according to the operating system theme. CSS is only 32KB and JavaScript is only 19KB, which loads faster. All developed in TypeScript with perfect type hints. Mobile-first, gradually expand from small screen to large screen, and finally, realize all screen adaptation. Does not rely on any third-party library, saves network traffic, makes loading faster, and improves user experience. Use CSS3 to do animation interaction, smooth and efficient, and make the animation of web applications smoother. MDUI includes more than 20 components, and each component can be adapted to different themes. You only need to know a little basic knowledge of HTML, CSS, JS to use MDUI. -
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MIT License
Hosted MIT License with details controlled through this repo
The MIT License repository is a simple GitHub project that hosts the full text of the MIT License and provides a stable reference for developers who want to include permissive licensing details in their work. The MIT License itself is one of the most widely used open-source licenses because it allows reuse, modification, distribution, and even proprietary use, as long as copyright notices and license texts are preserved. This repository offers an easy way to copy the license text, understand its legal language, and see example usage in a context that is separate from any specific software project. It can also be useful for automated tooling and templates where a standard license file is needed across multiple repositories or as part of a code generation process. While not a software library or application, the repository serves an important role in open-source governance by centralizing a commonly adopted license with clear formatting. -
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MLT Multimedia Framework
MLT Multimedia Framework
Author, manage, and run multitrack audio/video compositions. The engine of a non-linear video editor that can be used in all sorts of apps, not just desktop video editors. MLT is an open source multimedia framework, designed and developed for television broadcasting. It provides a toolkit for broadcasters, video editors, media players, transcoders, web streamers and many more types of applications. The functionality of the system is provided via an assortment of ready-to-use tools, XML authoring components, and an extensible plug-in-based API. -
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MacDriver
Native Mac APIs for Go
MacDriver is a toolkit for working with Apple/Mac APIs and frameworks in Go. It currently has 2 parts. The objc package wraps the Objective-C runtime to dynamically interact with Objective-C objects and classes. The cocoa, webkit, and core packages wrap objc with wrapper types for parts of the Apple/Mac APIs. They're being added to as needed by hand until we can automate this process with schema data. These packages effectively let you use Apple APIs as if they were native Go libraries, letting you write Mac applications (potentially also iOS, watchOS, etc) as Go applications. 1:1 mapping of API names with Objective-C APIs. Cocoa types: NSApplication, NSImage, NSMenu, NSWindow, more. Webkit types: WKWebView and configuration classes. Core types: NSData, NSDictionary, NSNumber, NSPoint, NSRect, NSSize, NSString, NSURL, more. Core also allows dispatching Go functions in the Cocoa run loop. Many constants/enums are defined. -
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Makisu
Fast and flexible Docker image building tool
Fast and flexible Docker image-building tool, that works in unprivileged containerized environments like Mesos and Kubernetes. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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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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Map of GitHub
Inspirational Mapping
Map-of-GitHub is an inventive project that visually represents the global distribution of GitHub users and repositories on a map of the world, revealing geographic patterns and community concentrations across countries and cities. The project processes GitHub account metadata and GPS or location information (when available) to plot users’ locations and draw connections between communities, resulting in an exploratory visualization where density and network effects become instantly visible. Users can zoom in to explore hotspots like major metropolitan areas or zoom out to see global patterns of activity, making it both a data analytics tool and a piece of data art. The map highlights where developers live, where projects originate, and how open-source participation varies around the world, offering insights into the geography of technology culture and innovation. -
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Material-UI-Swing
A modern, Material Design UI for Java Swing
A modern, Material Design UI for Java Swing. -
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MathPHP
Powerful modern math library for PHP
Math PHP is a library that brings advanced mathematical functions and data analysis capabilities to PHP applications. It covers a wide range of topics, including linear algebra, calculus, statistics, probability, and numerical analysis. Math PHP is designed for developers and data scientists who require precise and efficient mathematical computations in PHP, making it suitable for scientific computing and data processing. -
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Mckay’s App Template
This is the template I use to start new full-stack projects
Mckay’s App Template is a full-stack starter template maintained by Mckay Wrigley, intended to help developers quickly bootstrap modern web applications without spending time on boilerplate setup. The template includes a frontend built with Next.js, Tailwind CSS, and often UI components/frameworks like Shadcn + Framer Motion; a backend stack using PostgreSQL, Supabase, and Drizzle ORM for database operations; authentication via Clerk; and optional payment integration using Stripe. By providing a ready-to-go configuration (with example folder structure, database setup, auth, payment hooks, and environment templates), it lets developers skip the tedious initial setup and get straight to building product features. The template is ideal for startups, prototypes, or side-projects where you want a robust, production-grade starting point — with user accounts, auth, DB, and payments already wired up. -
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MegEngine
Easy-to-use deep learning framework with 3 key features
MegEngine is a fast, scalable and easy-to-use deep learning framework with 3 key features. You can represent quantization/dynamic shape/image pre-processing and even derivation in one model. After training, just put everything into your model and inference it on any platform at ease. Speed and precision problems won't bother you anymore due to the same core inside. In training, GPU memory usage could go down to one-third at the cost of only one additional line, which enables the DTR algorithm. Gain the lowest memory usage when inferencing a model by leveraging our unique pushdown memory planner. NOTE: MegEngine now supports Python installation on Linux-64bit/Windows-64bit/MacOS(CPU-Only)-10.14+/Android 7+(CPU-Only) platforms with Python from 3.5 to 3.8. On Windows 10 you can either install the Linux distribution through Windows Subsystem for Linux (WSL) or install the Windows distribution directly. Many other platforms are supported for inference. -
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Memcached
memcached development tree
Memcached is a high-performance, open-source distributed memory caching system, typically used to accelerate dynamic, database-driven websites by storing frequently accessed data in RAM. To build memcached on your machine from the local repo, you will have to install autotools, automake, and libevent. If you want TLS support, install OpenSSL's development packages and change the configure line. libseccomp (optional, experimental, Linux), enables process restrictions for better security. Tested only on x86-64 architectures. -
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Meow
CLI app helper
Meow is a CLI helper library for Node.js that simplifies the creation of command-line applications by parsing arguments and providing a user-friendly interface. -
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Messaging APIs
Messaging APIs for multi-platform
Messaging APIs is a mono repo that collects APIs needed for bot development. It helps you build your bots using a similar API for multiple platforms, e.g. Messenger, LINE. Learn once and make writing cross-platform bots easier. If you are looking for a framework to build your bots, Bottender may suit for your needs. It is built on top of Messaging APIs and provides some powerful features for bot building. -
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Metaflow
A framework for real-life data science
Metaflow is a human-friendly Python library that helps scientists and engineers build and manage real-life data science projects. Metaflow was originally developed at Netflix to boost productivity of data scientists who work on a wide variety of projects from classical statistics to state-of-the-art deep learning. -
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MinIO Go Client SDK
MinIO Go client SDK for S3 compatible object storage
The MinIO Go Client SDK provides simple APIs to access any Amazon S3-compatible object storage. This quickstart guide will show you how to install the MinIO client SDK, connect to MinIO, and provide a walkthrough for a simple file uploader. For a complete list of APIs and examples, please take a look at the Go Client API Reference. -
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MixItUp 3
Library for animated filtering, sorting, insertion, removal and more
MixItUp is a high-performance, dependency-free library for animated DOM manipulation, giving you the power to filter, sort, add and remove DOM elements with beautiful animations. MixItUp plays nice with your existing HTML and CSS, making it a great choice for responsive layouts and compatible with inline-flow, percentages, media queries, flexbox and more. MixItUp is open source and free to use for non-commercial, educational and non-profit use. For use in commercial projects, a commercial license is required. Most commonly, MixItUp is applied to a "container" of "target" elements, which could be a portfolio of projects, a list of blog posts, a selection of products, or any kind of UI where filtering and/or sorting would be advantageous. Targets can be filtered using any valid selector e.g. '.category-a', and are sorted via optional custom data attributes e.g. 'data-order'. -
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MkDocs
Project documentation with Markdown
MkDocs is a fast, simple and downright gorgeous static site generator that's geared towards building project documentation. Documentation source files are written in Markdown, and configured with a single YAML configuration file. Start by reading the introductory tutorial, then check the User Guide for more information. There's a stack of good-looking themes available for MkDocs. Choose between the built in themes: mkdocs and readthedocs, select one of the third-party themes listed on the MkDocs Themes wiki page, or build your own. Get your project documentation looking just the way you want it by customizing your theme and/or installing some plugins. Modify Markdown's behavior with Markdown extensions. Many configuration options are available. The built-in dev-server allows you to preview your documentation as you're writing it. It will even auto-reload and refresh your browser whenever you save your changes. -
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MoarVM
A runtime built for the 6model object system
Short for "Metamodel On A Runtime", MoarVM is a modern virtual machine built for the Rakudo Perl 6 compiler and the NQP Compiler Toolchain. MoarVM is used by the majority of Perl 6 programmers. Highlights include: Great Unicode support, with strings represented at grapheme level, dynamic analysis of running code to identify hot functions and loops, and perform a range of optimizations, including type specialization and inlining, support for threads, a range of concurrency control constructs, and asynchronous sockets, timers, processes, and more, generational, parallel, garbage collection, support for numerous language features, including first class functions, exceptions, continuations, runtime loading of code, big integers and interfacing with native libraries. MoarVM provides very little directly - and that's a good thing. It is not tied to a particular way of doing inheritance, roles, mixins, method resolution, type-checking, and so forth. -
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Model Context Protocol TypeScript SDK
The official Typescript SDK for Model Context Protocol servers
The TypeScript SDK for Model Context Protocol simplifies integration with the Model Context Protocol, enabling developers to interact with AI models effectively. -
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ModelingToolkit.jl
Modeling framework for automatically parallelized scientific ML
ModelingToolkit.jl is a modeling language for high-performance symbolic-numeric computation in scientific computing and scientific machine learning. It then mixes ideas from symbolic computational algebra systems with causal and acausal equation-based modeling frameworks to give an extendable and parallel modeling system. It allows for users to give a high-level description of a model for symbolic preprocessing to analyze and enhance the model. Automatic symbolic transformations, such as index reduction of differential-algebraic equations, make it possible to solve equations that are impossible to solve with a purely numeric-based technique. ModelingToolkit.jl is a symbolic-numeric modeling package. Thus it combines some of the features from symbolic computing packages like SymPy or Mathematica with the ideas of equation-based modeling systems like the causal Simulink and the acausal Modelica.
