Open Source Mac Software Development Software - Page 89
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Software Development Software for Mac
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Pkgx
Run Anything
pkgx is a versatile package runner that enables users to execute software without prior installation. By fetching and running packages on demand, pkgx eliminates the need for managing dependencies manually. Its design promotes composability, allowing developers to build complex workflows by chaining commands, thus streamlining development and testing processes. -
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Playwright for Python
Python version of the Playwright testing and automation library
Playwright enables reliable end-to-end testing for modern web apps. Single API to automate Chromium, Firefox and WebKit. Capable automation for single page apps that rely on the modern web platform. Use the Playwright API in JavaScript & TypeScript, Python, .NET and, Java. With Playwright, test how your app behaves in Apple Safari with WebKit builds for Windows, Linux and macOS. Test locally and on CI. Use device emulation to test your responsive web apps in mobile web browsers. Playwright supports headless (without browser UI) and headed (with browser UI) modes for all browsers and all platforms. Headed is great for debugging, and headless is faster and suited for CI/cloud executions. Playwright interactions auto-wait for elements to be ready. This improves reliability and simplifies test authoring. Playwright receives browser signals, like network requests, page navigations and page load events to eliminate the need for sleep timeouts that cause flakiness. -
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Plural
Deploy open source software on Kubernetes in record time
Deploy, secure, and scale open-source applications on your cloud in minutes. Plural comes with batteries included to elevate fast moving teams from the headache of operating third-party OSS apps. We elevate you from the work of building and maintaining your open-source infrastructure and let teams focus on delivering value. Dependency management between Terraform/Helm modules, with dependency-aware deployment and upgrades. Authenticated docker registry and chartmuseum proxy per repository. Secret encryption using AES-256 (so you can keep the entire workflow in git). Configuring a DNS service to register fully-qualified domains under onplural.sh to eliminate the hassle of DNS registration for users. Being an OIDC provider to enable zero touch login security for all Plural applications. Plural creates versioned infrastructure-as-code which makes it easy to track what’s changing and roll back between versions. -
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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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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. -
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Python Slack SDK
Slack Developer Kit for Python
Python Slack SDK is the official Python developer kit for building applications that interact with the Slack platform. It provides modular packages for Slack APIs, allowing developers to use only the capabilities they need while still keeping the pieces compatible with each other. The SDK covers the Web API, incoming webhooks, Socket Mode, OAuth, Audit Logs, SCIM, RTM, Block Kit models, and request signature verification. It is useful for bots, workflow tools, internal automations, admin dashboards, notifications, onboarding assistants, and Slack-native business applications. Developers can use it to send messages, respond to events, verify requests, manage app authorization, and integrate Slack into Python services. The project is especially helpful for teams that want a maintained, first-party Python interface instead of manually building every Slack API request. -
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QR Code generator library
High-quality QR Code generator library in Java, TypeScript/JavaScript
This project aims to be the best, clearest library for generating QR Codes. My primary goals are flexible options and absolute correctness. The secondary goals are compact implementation size and good documentation comments. This work is an independent implementation based on reading the official ISO specification documents. I believe that my library has a more intuitive API and shorter code length than competing libraries out there. The library is designed first in Java and then ported to TypeScript, Python, Rust, C++, and C. It is open source under the MIT License. For each language, the codebase is roughly 1000 lines of code and has no dependencies other than the respective language’s standard library. -
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RAG Anything
RAG-Anything: All-in-One RAG Framework
RAG-Anything is an open-source unified framework that extends the Retrieval-Augmented Generation (RAG) paradigm to fully multimodal document and knowledge retrieval, enabling systems to ingest, parse, represent, and query rich content that includes text, images, tables, formulas, and other structured or visual elements. Traditional RAG systems are typically limited to text and cannot effectively work across heterogeneous document layouts, but RAG-Anything addresses this by modeling multimodal content in ways that preserve cross-modal relationships and semantic context, often treating content elements as interconnected knowledge entities rather than separate data silos. The system uses a multi-stage pipeline (e.g., document parsing, content analysis, knowledge graph construction, intelligent retrieval) so queries can navigate across modalities with deeper understanding and relevance. -
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RDoc
RDoc produces HTML and online documentation for Ruby projects
RDoc produces HTML and command-line documentation for Ruby projects. RDoc includes the rdoc and ri tools for generating and displaying documentation from the command line. -
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Radzen Blazor Components
The home of the Radzen Blazor components
A set of 60+ free and open source native Blazor UI controls. Radzen Blazor Components are open source and free for commercial use. You can install them from nuget or build your own copy from the source. The components are implemented in C# and take full advantage of the Blazor framework. They do not depend on or wrap existing JavaScript frameworks or libraries. Blazor Server and Blazor WebAssembly are fully supported. The first in the industry WYSIWYG Blazor design time canvas. Scaffolding complete CRUD applications from a database. Built-in security, authentication and authorization. Visual Studio Code and Professional support. Deployment to IIS and Azure. Dedicated support with 24 hour guaranteed response time. -
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Rainbond
A container platform that needs no Kubernetes learning
Rainbond is an open-source container platform that helps teams build, deploy, upgrade, operate, and deliver applications on Kubernetes without requiring deep Kubernetes expertise. It focuses more on application delivery than low-level cluster resource management. The platform brings source code, container images, templates, dependencies, access management, upgrades, and rollbacks into a standardized graphical workflow. Rainbond is built for complex enterprise delivery scenarios such as private deployment, offline delivery, internal-network environments, Xinchuang adaptation, ARM migration, and AI application privatization. It includes marketplace and template capabilities so teams can reuse applications and replicate deployments across customer environments. Its goal is to let development and delivery teams work at the application level while platform teams handle the underlying Kubernetes complexity. -
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Rancher Desktop
Container Management and Kubernetes on the Desktop
Rancher Desktop is a free, open-source desktop application that provides container management and Kubernetes functionality for developers working on Windows, macOS, and Linux. It enables users to build, run, and manage containerized applications locally without requiring a dedicated Kubernetes cluster or cloud infrastructure. Rancher Desktop supports popular container runtimes, including containerd and Moby (Docker), allowing developers to choose the environment that best fits their workflows. The application includes a built-in Kubernetes distribution powered by K3s, making it easy to develop, test, and troubleshoot Kubernetes applications directly from a desktop computer. Users can manage containers, images, Kubernetes configurations, and development environments through an intuitive graphical interface or command-line tools. -
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Rasa
Open source machine learning framework to automate text conversations
Rasa is an open source machine learning framework to automate text-and voice-based conversations. With Rasa, you can build contextual assistants on Facebook Messenger, Slack, Google Hangouts, Webex Teams, Microsoft Bot Framework, Rocket.Chat, Mattermost, Telegram, and Twilio or on your own custom conversational channels. Rasa helps you build contextual assistants capable of having layered conversations with lots of back-and-forths. In order for a human to have a meaningful exchange with a contextual assistant, the assistant needs to be able to use context to build on things that were previously discussed. Rasa enables you to build assistants that can do this in a scalable way. Rasa uses Poetry for packaging and dependency management. If you want to build it from the source, you have to install Poetry first. By default, Poetry will try to use the currently activated Python version to create the virtual environment for the current project automatically. -
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Rbatis
Rust High Performance compile-time ORM(RBSON based)
A highly Performant, Safe, Dynamic SQL(Compile-time) ORM framework written in Rust, inspired by Mybatis and MybatisPlus. Zero cost Dynamic SQL, implemented using (proc-macro,compile-time, Cow (Reduce unnecessary cloning)) techniques, don't need ONGL engine(mybatis) Free deserialization, Auto Deserialize to any struct(Option,Map,Vec...) High performance, Based on Future, with async_std/tokio, single threaded benchmark can easily achieve 200,000 QPS. logical deletes, pagination, py-like SQL and basic Mybatis functionalities. Supports logging, customizable logging based on log crate. 100% Safe Rust with #![forbid(unsafe_code)] enabled. rbatis/example (import into Clion!). abs_admin project an complete background user management system( Vue.js+rbatis+actix-web). -
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React Hook Form
React Hooks for form state management and validation
Performant, flexible, and extensible forms with easy-to-use validation. Intuitive, feature-complete API providing a seamless experience to developers when building forms. Leverage existing HTML markup and validate your forms with our constraint-based validation API. Package size matters. React Hook Form is a tiny library without any dependencies. Minimizes the number of re-renders, minimizes validate computation, and faster mounting. Since the form state is inherently local, it can be easily adopted without other dependencies. Striving to provide the best user experience and bring consistent validation strategies. -
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React Native Auth0
React Native toolkit for Auth0 API
With a few lines of code, you can have Auth0 integrated into any app written in any language, and any framework. We provide 30+ SDKs & Quickstarts to help you succeed in your implementation. Enable user collaboration and granular access control in your applications with easy-to-use APIs. From improving customer experience through seamless sign-on to making MFA as easy as a click of a button, your login box must find the right balance between user convenience, privacy and security. That’s why Okta and Auth0 have joined forces. Because we know together we can help you build a better solution for Customer Identity (CIAM) that will reduce security and compliance risks, improve your UX, and help your developers maximize their time. -
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React Native for Web
React Native Components and APIs for the Web
React Native for Web is an accessible implementation of React Native's Components and APIs that is interoperable with React DOM. Accessible HTML. Support different devices and input modes, render semantic tags. High-quality interactions. Support gestures and multiple input modes (touch, mouse, keyboard). Reliable styles. Rely on scoped styles and automatic vendor-prefixing. Support RTL layouts. Responsive containers. Respond to element resize events. Incremental adoption. Interoperates with existing React DOM components. Bundle only what you use. React Native for Web is used in production web apps by Twitter, Flipkart, Uber, Major League Soccer, and many others. It also powers web support in multi-platform React projects such as Expo, React Native Elements, React Native Paper, and React Native Base. -
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React-Toastify
React notification made easy
React-Toastify allows you to add notifications to your app with ease. No more nonsense! Easy to set up for real, you can make it work in less than 10sec! Super easy to customize, RTL support, swipe to close. Can choose swipe direction. Super easy to use an animation of your choice. Can display a react component inside the toast! Has onOpen and onClose hooks. Both can access the props passed to the react component rendered inside the toast. Can remove a toast programmatically. Define behavior per toast, pause toast when the window loses focus. Fancy progress bar to display the remaining time. Possibility to update a toast. You can control the progress bar a la nprogress. You can limit the number of toast displayed at the same time. Dark mode, only 5.5k, and many features more. Check the documentation to get you started! -
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Refined
Refinement types for Scala
Refined is a Scala library that enhances types with compile-time constraints using predicate-style refinement types. It allows embedding validation logic into types like Refined[Int, Positive], ensuring invalid values are rejected at compile or runtime, thereby increasing safety and reducing boilerplate in domain modeling. -
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Render
Go package for easily rendering JSON, XML, binary data, and HTML
Render is a package that provides functionality for easily rendering JSON, XML, text, binary data, and HTML templates. Render can be used with pretty much any web framework provided you can access the HTTP.ResponseWriter from your handler. The rendering functions simply wraps Go's existing functionality for marshaling and rendering data. HTML: Uses the html/template package to render HTML templates. JSON: Uses the encoding/json package to marshal data into a JSON-encoded response. XML: Uses the encoding/xml package to marshal data into an XML-encoded response. Binary data: Passes the incoming data straight through to the HTTP.ResponseWriter. Text: Passes the incoming string straight through to the http.ResponseWriter. Render comes with a variety of configuration options. By default Render will attempt to load templates with a '.tmpl' extension from the "templates" directory. -
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Requests
A simple, yet elegant, HTTP library.
Requests is the de facto HTTP library for Python—simple, elegant, and human-friendly. It wraps urllib3 to provide intuitive methods for sending HTTP/1.1 requests, handling sessions, cookies, redirects, authentication, proxies, and more. -
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Rinf
Rust for native business logic, Flutter for flexible and beautiful GUI
Rust for native business logic, Flutter for flexible and beautiful GUI. Rinf is a production-ready framework for creating beautiful and performant cross-platform apps using Flutter and Rust with batteries fully included. Simply add this framework to your app project, and you're all set to write Flutter and Rust together. There are no webviews, web servers, hidden threads, or unnecessary memory copying that might cause performance overhead. This setup acts as a very thin wrapper around Dart and Rust. This is not a bulky framework that requires you to install so many dependencies and use complicated CLI commands. Just focus on your code using your preferred Flutter and Rust libraries. Creating hundreds or even thousands of message APIs between Dart and Rust feels smooth and clean. Additionally, you have the flexibility to utilize any number of Rust library crates, perhaps including those you might have been working on.
