Open Source Mac Software Development Software - Page 85
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Oat UI
Ultra-lightweight, zero dependency, semantic HTML, CSS, JS UI library
Oat is an ultra-lightweight front-end UI library designed to automatically style semantic HTML using minimal CSS and JavaScript with zero external dependencies. The project focuses on simplicity and performance, allowing developers to create clean, modern interfaces without relying on heavy frameworks or complex build systems. Oat works by applying sensible default styling directly to standard HTML elements, meaning developers can achieve polished layouts with little to no custom classes. Its small footprint makes it especially attractive for static sites, documentation, prototypes, and low-overhead web applications. The library can be installed via npm, CDN, or direct download, making it flexible across different development workflows. Overall, Oat prioritizes minimalism, speed, and developer ergonomics for teams that want attractive UI results with extremely low complexity. -
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Oni
Oni: Modern Modal Editing
Oni is a new kind of editor, focused on maximizing productivity - combining modal editing with features you expect in modern editors. Oni is built with neovim, and inspired by VSCode, Atom, LightTable, and Emacs. The vision of Oni is to build an editor that allows you to go from thought to code as easily as possible - bringing together the raw editing power of Vim, the feature capabilities of Atom/VSCode, and a powerful and intuitive extensibility model - wrapped up in a beautiful package. -
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Open MCT
A web based mission control framework
Open MCT is a next-generation mission operations data visualization framework. Web-based, for desktop and mobile. Software based on Open MCT is in use as a data visualization tool in support of multiple missions at the Jet Propulsion Laboratory, and at NASA's Ames Research Center to support the development of lunar rover mission concepts. Open MCT can be adapted for planning and operations of any system that produces telemetry. While Open MCT is developed to support space missions, its core concepts are not unique to that domain. It can display streaming and historical data, imagery, timelines, procedures, and other data visualizations, all in one place. Open MCT is currently used to support distributed spacecraft operations across multiple locations. NASA itself has many missions currently using Open MCT as well as "VISTA", which is a multi-mission operations system built with Open MCT. -
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Open Source Jobs
A list of Open Source projects offering jobs
Open Source Jobs is a community-maintained list of companies and organizations that actively hire developers to work on open source software projects. The repository is designed to help engineers find employment opportunities where contributing to open source is part of the core job responsibility rather than a side activity. It organizes companies into structured lists that make it easy to browse potential employers supporting open development models. The project is intentionally simple and transparent, relying on community updates to keep the information relevant. It is especially valuable for developers who want careers aligned with open collaboration, public codebases, and distributed engineering culture. Overall, open-source-jobs functions as a practical career discovery resource within the open source ecosystem. -
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OpenHaystack
Framework for tracking personal Bluetooth devices
OpenHaystack is a framework for tracking personal Bluetooth devices via Apple's massive Find My network. Use it to create your own tracking tags that you can append to physical objects (keyrings, backpacks, ...) or integrate it into other Bluetooth-capable devices such as notebooks. -
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OpenKey
Vietnamese Input for macOS, Windows and Linux
OpenKey is an open-source third-party keyboard for iOS that aims to provide customizable layouts and extend typing functionality. It focuses on user privacy and extensibility, offering a framework to build custom iOS keyboards. -
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OpenUI
The Open Standard for Generative UI
OpenUI is an open-source framework focused on enabling AI-driven generation and manipulation of user interfaces through natural language and programmatic inputs. The project aims to bridge the gap between design and development by allowing users to describe UI components and layouts in plain language, which are then translated into structured code or interactive components. It leverages modern AI models and frontend technologies to dynamically generate UI elements that can be customized, refined, and extended within development workflows. OpenUI is particularly useful for rapid prototyping, as it allows developers and designers to iterate on interface ideas without manually writing all the underlying code. The framework also supports extensibility, enabling integration with existing design systems and component libraries. By combining AI-assisted generation with developer control, OpenUI provides a hybrid approach to building interfaces that balances automation with customization. -
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OpenWPM
A web privacy measurement framework
OpenWPM is a web privacy measurement framework that makes it easy to collect data for privacy studies on a scale of thousands to millions of websites. OpenWPM is built on top of Firefox, with automation provided by Selenium. It includes several hooks for data collection. Check out the instrumentation section below for more details. OpenWPM is tested on Ubuntu 18.04 via TravisCI and is commonly used via the docker container that this repo builds, which is also based on Ubuntu. Although we don't officially support other platforms, conda is a cross-platform utility and the install script can be expected to work on OSX and other Linux distributions. OpenWPM does not support windows. The main pre-requisite for OpenWPM is conda, a cross-platform package management tool. -
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Overtarget
Eclipse Target Platform Management Tool
This project contains the deployed artefacts for the Overtarget project. The artefacts contain p2 builds for: - Daily development builds - Regular integration builds - Specific releaseb builds -
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PETSc.jl
Julia wrappers for the PETSc library
This package provides a low level interface for PETSc and allows combining julia features (such as automatic differentiation) with the PETSc infrastructure and nonlinear solvers. -
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PHP XLSX Writer
Lightweight XLSX Excel Spreadsheet Writer in PHP
A fast and memory-efficient PHP library for writing XLSX (Excel) files. It supports large datasets and is ideal for exporting tabular data without using high-level libraries like PHPExcel, providing an efficient alternative for lightweight data export. -
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PHP-Casbin
An authorization library that supports access control models
An authorization library that supports access control models like ACL, RBAC, ABAC for Golang, Java, C/C++, Node.js, Javascript, PHP, Laravel, Python, .NET (C#), Delphi, Rust, Ruby, Swift (Objective-C), Lua (OpenResty), Dart (Flutter) and Elixir. In Casbin, an access control model is abstracted into a CONF file based on the PERM metamodel (Policy, Effect, Request, Matchers). So switching or upgrading the authorization mechanism for a project is just as simple as modifying a configuration. Besides memory and file, Casbin policy can be stored into lots of places. Currently, dozens of databases are supported, from MySQL, Postgres, Oracle to MongoDB, Redis, Cassandra, AWS S3. Check the full supported list at: adapters. Casbin is implemented in Golang, Java, PHP and Node.js. All implementations share the same API and behaviors. You can learn Casbin once and use it everywhere. -
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PSR-7
PSR-7 HTTP message library
This repository contains a full PSR-7 message implementation, several stream decorators, and some helpful functionality like query string parsing. This package comes with a number of stream implementations and stream decorators. Reads from multiple streams, one after the other. Provides a buffer stream that can be written to fill a buffer, and read from to remove bytes from the buffer. This stream returns a "hwm" metadata value that tells upstream consumers what the configured high water mark of the stream is, or the maximum preferred size of the buffer. The CachingStream is used to allow seeking over previously read bytes on non-seekable streams. This can be useful when transferring a non-seekable entity body fails due to needing to rewind the stream (for example, resulting from a redirect). Data that is read from the remote stream will be buffered in a PHP temp stream so that previously read bytes are cached first in memory, then on disk. -
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PTerm
PTerm is a modern Go module to easily beautify console output
PTerm is a modern TUI framework written in Go to beautify console output. It supports interactive printers, such as select menus and confirm prompts, as well as live printers, such as progress bars and spinners. It also features text printers for sections, headers, and info/warning/... messages. PTerm has support for visualization, with printers such as bar charts, tables, trees and much more. You can also create custom layouts with grid panels and centered content. It's completely configurable and 100% cross-platform compatible. Our first priority is to keep PTerm as easy to use as possible. All components are similar in design and implement interfaces to simplify mixing individual components together. We take special precautions to ensure that PTerm works on as many operating systems and terminals as possible. PTerm has a 100% test coverage, which means that every line of code inside PTerm gets tested automatically. -
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PdfPig
Read and extract text and other content from PDFs in C#
This project allows users to read and extract text and other content from PDF files. In addition the library can be used to create simple PDF documents containing text and geometrical shapes. -
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Pedestal
The Pedestal Server-side Libraries
Pedestal is a set of libraries that we use to build services and applications. It runs in the back end and can serve up whole HTML pages or handle API requests. There are a lot of tools in that space, so why did we build Pedestal? We had two main reasons. Pedestal is designed for APIs first. Most web app frameworks still focus on the "page model" and server-side rendering. Pedestal lets you start simple and add that if you need it. Pedestal makes it easy to create "live" applications. Applications must respond with immediate feedback even while some back-end communication goes on. Pedestal makes it easy to deliver server-sent events and asynchronous updates. Pedestal works with a huge variety of containers and deployment options. Deploy applications or microservices on unikernels, Docker containers, or JAR files. Pedestal supports Tomcat, Jetty, Immutant (with Undertow), Vert.x, nginx, and Netty. -
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Perl 5
The Perl programming language
This repository contains the reference implementation of the Perl 5 programming language, including the interpreter, core modules, build system, and an extensive test suite. Perl 5 is a multi-paradigm language renowned for powerful text processing, rich regular expressions, and pragmatic glue code across systems. The core distribution is highly portable, building on Unix, Linux, Windows, and many other platforms, with stable release cycles and careful back-compatibility. A C API (XS) and embedding APIs allow tight integration with native libraries and host applications, while the CPAN ecosystem supplies hundreds of thousands of reusable modules. Development emphasizes robust tests (t/), meticulous changelogs, and tooling like perldoc to keep the language approachable and dependable. In practice, Perl 5 remains a workhorse for sysadmin automation, data munging, web services, and any task where flexible, expressive text handling is paramount. -
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Pion WebRTC
Pure Go implementation of the WebRTC API
Pion implements the WebRTC API. Spend more time building and less time learning a new API. Pion is fast! With quick build times, examples and godoc you will be deploying in no time. Pion works almost everywhere thanks to Go. Ship to Mobile, Desktop, Servers and WASM all with one code base. We built everything from scratch, come learn from our journey. We have docs not just on Pion, but also deep WebRTC knowledge. Pion is owned by the community, no private bugs or roadmaps. Come join in the development on GitHub and Slack. Pion has multiple large production users already. Come learn from them and be the next! Example applications contains code samples of common things people build with Pion WebRTC. Example-webrtc-applications contains more full featured examples that use 3rd party libraries. -
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Pitest
State of the art mutation testing system for the JVM
PIT is a state of the art mutation testing system, providing gold standard test coverage for Java and the jvm. It's fast, scalable and integrates with modern test and build tooling. Faults (or mutations) are automatically seeded into your code, then your tests are run. If your tests fail then the mutation is killed, if your tests pass then the mutation lived. As it is actually able to detect whether each statement is meaningfully tested, mutation testing is the gold standard against which all other types of coverage are measured. Traditional test coverage (i.e line, statement, branch, etc.) measures only which code is executed by your tests. It does not check that your tests are actually able to detect faults in the executed code. It is therefore only able to identify code that is definitely not tested. -
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PortableGL
An implementation of OpenGL 3.x-ish in clean C
PortableGL is a single-header, software-only implementation of a subset of OpenGL (specifically the GL 2.1 pipeline), designed to run entirely on the CPU. This lightweight graphics library allows OpenGL-style rendering without GPU acceleration, making it ideal for educational use, debugging, embedded systems, and retro-style software rendering. Because it mirrors OpenGL syntax and design, it can act as a drop-in CPU renderer for testing or deploying 3D graphics on platforms without GPU support. -
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PrettyTensor
Pretty Tensor: Fluent Networks in TensorFlow
Pretty Tensor is a high-level API built on top of TensorFlow that simplifies the process of creating and managing deep learning models. It wraps TensorFlow tensors in a chainable object syntax, allowing developers to build multi-layer neural networks with concise and readable code. Pretty Tensor preserves full compatibility with TensorFlow’s core functionality while providing syntactic sugar for defining complex architectures such as convolutional and recurrent networks. The library’s design emphasizes flexibility and modularity, supporting advanced features like default scopes, parameter templates, and variable reuse. It also allows easy integration with custom operations and third-party libraries, making it ideal for both research experimentation and production-grade modeling. By combining TensorFlow’s power with an intuitive builder-style API, Pretty Tensor accelerates model development without sacrificing transparency or control. -
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PromptingTools.jl
Streamline your life using PromptingTools.jl
PromptingTools.jl is a Julia-based toolkit designed to simplify prompt engineering and unify interactions with multiple large language model providers through a consistent interface. It focuses on reducing the complexity of prompt creation by introducing templating systems, macros, and reusable functions that standardize how prompts are constructed and executed. The library provides a family of ai* functions that handle tasks such as generation, embeddings, classification, and data extraction, all following a consistent structure. It supports multiple backends, including OpenAI-compatible APIs and local models such as those served through Ollama, allowing users to switch providers without rewriting prompts. The toolkit also includes advanced capabilities such as asynchronous execution, routing, OCR, and experimental agent workflows, making it suitable for both simple and complex AI applications. -
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Public APIs
A collective list of free APIs
public-apis is a collaboratively maintained repository that provides an extensive, categorized list of publicly available APIs for developers. Curated by community contributors and the team at APILayer, it serves as a centralized resource for discovering APIs across a wide range of domains, including data, machine learning, weather, entertainment, and finance. The project aims to make API exploration and integration more accessible by offering a single, organized index of open and free-to-use APIs. Developers can leverage this list to enhance their products, prototypes, or research projects without the need to build data sources from scratch. The repository’s open nature encourages contributions, allowing anyone to submit new APIs or updates through pull requests. Over time, public-apis has evolved into a trusted and frequently updated reference point within the developer community. It also provides an active community space, including a Discord server. -
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Pyro
Deep universal probabilistic programming with Python and PyTorch
Pyro is a flexible, universal probabilistic programming language (PPL) built on PyTorch. It allows for expressive deep probabilistic modeling, combining the best of modern deep learning and Bayesian modeling. Pyro is centered on four main principles: Universal, Scalable, Minimal and Flexible. Pyro is universal in that it can represent any computable probability distribution. It scales easily to large datasets with minimal overhead, and has a small yet powerful core of composable abstractions that make it both agile and maintainable. Lastly, Pyro gives you the flexibility of automation when you want it, and control when you need it. -
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Python Outlier Detection
A Python toolbox for scalable outlier detection
PyOD is a comprehensive and scalable Python toolkit for detecting outlying objects in multivariate data. This exciting yet challenging field is commonly referred as outlier detection or anomaly detection. PyOD includes more than 30 detection algorithms, from classical LOF (SIGMOD 2000) to the latest COPOD (ICDM 2020) and SUOD (MLSys 2021). Since 2017, PyOD [AZNL19] has been successfully used in numerous academic researches and commercial products [AZHC+21, AZNHL19]. PyOD has multiple neural network-based models, e.g., AutoEncoders, which are implemented in both PyTorch and Tensorflow. PyOD contains multiple models that also exist in scikit-learn. It is possible to train and predict with a large number of detection models in PyOD by leveraging SUOD framework. A benchmark is supplied for select algorithms to provide an overview of the implemented models. In total, 17 benchmark datasets are used for comparison, which can be downloaded at ODDS.
