Open Source Linux Libraries - Page 51
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1
Pipeline Model Definition Plugin
Dfine CI/CD workflows using Jenkinsfile
The Pipeline Model Definition Plugin introduces Declarative Pipelines in Jenkins—offering a more structured, configuration-like syntax for defining CI/CD workflows using Jenkinsfile. It simplifies pipeline creation, gives clearer semantic error messages, supports post-build steps, and is fully extensible via APIs. -
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Plotly Graphing Library for MATLAB
Plotly Graphing Library for MATLAB
Create interactive charts in your web browser with MATLAB® and Plotly. -
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Plumbing
Prismatic's Clojure(Script) utility belt
Plumbing is a general-purpose Clojure utility belt and data transformation library endorsed for its pragmatic approach to everyday tasks. It offers a toolkit of macros and functions that simplify common data manipulation patterns, and includes a “Graph” abstraction for structured computation flows. Most of it is also compatible with ClojureScript. Graph is a simple and declarative way to specify a structured computation, which is easy to analyze, change, compose, and monitor. Here's a simple example of an ordinary function definition, and its Graph equivalent. A Graph encodes the structure of a computation, but not how it happens, allowing for many execution strategies. For example, we can compile a Graph lazily so that step values are computed as needed. Or, we can parallel-compile the Graph so that independent step functions are run in separate threads. -
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Pottery
Redis for humans
Redis is awesome, but Redis commands are not always intuitive. Pottery is a Pythonic way to access Redis. If you know how to use Python dicts, then you already know how to use Pottery. Pottery is useful for accessing Redis more easily, and also for implementing microservice resilience patterns, and it has been battle-tested in production at scale. -
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Poxa
Pusher server implementation compatible with Pusher client libraries
Pusher server implementation is compatible with Pusher client libraries. Open Pusher implementation compatible with Pusher libraries. It's designed to be used as a single registered app with id, secret, and key defined on start. Poxa is a standalone elixir server implementation of the Pusher protocol. Docker images are automatically built by Docker Hub. They are available at Docker Hub. One can generate it using: docker build -t local/poxa. Poxa uses gproc extensively to register websocket connections as channels. So, when a client subscribes for channel 'example-channel', the websocket connection (which is a elixir process) is "tagged" as {pusher, example-channel}. When a pusher event is triggered on the 'example-channel', every websocket matching the tag receives the event. -
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PreCompose
Compose Multiplatform Navigation && State Management
Compose Multiplatform Navigation && ViewModel, inspired by Jetpack Navigation, ViewModel and Lifecycle, PreCompose provides similar (or even the same) components for you but in Kotlin, and it's Kotlin Multiplatform project. -
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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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ProgressManager
Listen the progress of downloading and uploading in Okhttp
ProgressManager is an Android networking utility designed to monitor and manage upload and download progress for HTTP requests built with OkHttp. The library simplifies the implementation of progress tracking in Android applications by wrapping request and response bodies with listeners that report transfer status in real time. It is especially useful for applications that handle file uploads, media downloads, or large network transfers where users expect visible progress feedback. The project supports integration with Glide and other Android networking workflows, enabling developers to track image loading and resource downloads without extensive boilerplate code. Its architecture emphasizes minimal intrusion into existing networking stacks while maintaining compatibility with common Android development patterns. ProgressManager is widely used in applications requiring responsive file transfer interfaces and efficient network progress monitoring. -
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Prometheus JVM Client
Prometheus instrumentation library for JVM applications
It supports Java, Clojure, Scala, JRuby, and anything else that runs on the JVM. If you use Maven, you can simply reference the assets below. The latest version can be found on in the maven repository for io.prometheus. By default, counters, histograms, and summaries export an additional series suffixed with _created and a value of the unix timestamp for when the metric was created. Building the repository needs Java 11 (The project the project still supports Java 6 and Java versions > 11 dropped support for Java 6 output). We recommend to use an up-to-data Java 8 installation. The project provides the maven wrapper and therefore no local maven installation is needed. To build the repository just call ./mvnw verify. -
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10
Prometheus Kubernetes Setup
Kubernetes Setup for Prometheus and Grafana
This repository provides a pre-configured Prometheus stack optimized for monitoring Kubernetes clusters and cloud-native applications. -
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Proxmox
Proxmox VE Helper-Scripts
Proxmox VE Helper-Scripts is a community-driven collection of scripts designed to simplify the deployment and management of containers and virtual machines in Proxmox Virtual Environment (VE). These scripts provide an interactive setup process where users can choose between basic configurations that follow defaults or advanced configurations that allow for detailed customization. By automating repetitive and complex tasks, the project helps homelab enthusiasts, self-hosters, and system administrators save time while ensuring consistency in their Proxmox environments. Users can quickly spin up Linux containers (LXC) or full VMs with tailored options, making the project valuable for both newcomers and experienced Proxmox users. Though the repository has been archived, its development continues at a new community home, ensuring the scripts remain actively maintained. -
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PyQuil
A Python library for quantum programming using Quil
PyQuil is a Python library for quantum programming using Quil, the quantum instruction language developed at Rigetti Computing. PyQuil serves three main functions. PyQuil has a ton of other features, which you can learn more about in the docs. However, you can also keep reading below to get started with running your first quantum program. Without installing anything, you can quickly get started with quantum programming by exploring our interactive Jupyter Notebook tutorials and examples. To run them in a preconfigured execution environment on Binder, click the "launch binder" badge at the top of the README or the link here! To learn more about the tutorials and how you can add your own, visit the rigetti/forest-tutorials repository. If you'd rather set everything up locally, or are interested in contributing to pyQuil, continue to the next section for instructions on installing pyQuil and the Forest SDK. -
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Python colorlog
A colored formatter for the python logging module
Add colors to the output of Python's logging module. This library is over a decade old and supported a wide set of Python versions for most of its life, which has made it a difficult library to add new features to. colorlog 6 may break backward compatibility so that newer features can be added more easily, but may still not accept all changes or feature requests. colorlog 4 might accept essential bug fixes but should not be considered actively maintained and will not accept any major changes or new features. -
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RSocket
Java implementation of RSocket
Application protocol providing Reactive Streams semantics. RSocket provides a protocol for Reactive Streams semantics between client-server, and server-server communication. RSocket is a binary protocol for use on byte stream transports such as TCP, WebSockets, and Aeron. RSocket is intended to be consumed via one of the various implementation libraries which implement the RSocket Protocol. By default to make RSocket easier to use it copies the incoming Payload. Copying the payload comes at cost to performance and latency. If you want to use zero copy you must disable this. To disable copying you must include a payloadDecoder argument in your RSocketFactory. This will let you manage the Payload without copying the data from the underlying transport. You must free the Payload when you are done with them or you will get a memory leak. Used correctly this will reduce latency and increase performance. -
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React Bits Library
Open source collection of animated, interactive React components
React-bits is an open-source library of animated, interactive, and fully customizable React UI components that empowers developers to build visually striking and dynamic web interfaces without spending excessive time crafting animations from scratch. It features a large and rapidly growing collection of components — including text effects, background animations, and interactive UI pieces — each designed to be easy to integrate into any modern React project and work seamlessly with popular styling systems like CSS and Tailwind CSS. The library supports both JavaScript and TypeScript variants for many components, giving developers flexibility in how they use and adapt them to their codebase. React-bits puts emphasis on creativity, performance, and minimal dependencies, so animations and effects are lightweight but still fluid and expressive, helping sites stand out with compelling visual interactions. -
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React Wrap Balancer
Simple React Component That Makes Titles More Readable
The React Wrap Balancer project is a React component that improves text readability by intelligently balancing line breaks in headings and other text elements. It addresses common layout issues where text wraps unevenly, such as leaving a single word on the last line, which can negatively impact visual design. The component dynamically adjusts how text is split across lines based on the available space, resulting in more aesthetically pleasing layouts. It uses modern browser APIs like ResizeObserver to respond to changes in viewport size and re-balance text accordingly. The library is lightweight and easy to integrate, requiring only a wrapper component around existing text elements. It also includes configuration options that allow developers to control the degree of balancing and fallback behavior. Overall, react-wrap-balancer enhances typography and layout quality in responsive web applications. -
17
Reactive MVVM
My way to MVVM using KotlinX Coroutines and Android data-binding
My way to MVVM using KotlinX Coroutines with Android data binding. Use MVVM using architecture components with to separate Android Framework with a clean architecture to my domain logic. Use Android Databinding with LiveData to glue ViewModel and Android. -
18
ReflectionDocBlock
Component of phpDocumentor that provides a DocBlock parser
The ReflectionDocBlock component of phpDocumentor provides a DocBlock parser that is 100% compatible with the PHPDoc standard. With this component, a library can provide support for annotations via DocBlocks or otherwise retrieve information that is embedded in a DocBlock. In order to parse the DocBlock one needs a DocBlockFactory that can be instantiated using its createInstance factory method. Then we can use the create method of the factory to interpret the DocBlock. Please note that it is also possible to provide a class that has the getDocComment() method, such as an object of type ReflectionClass, the create method will read that if it exists. The create method will yield an object of type \phpDocumentor\Reflection\DocBlock whose methods can be queried. The composer requires phpdocumentor/reflection-docblock. -
19
RoaringBitmap
A better compressed bitset in Java
Bitsets, also called bitmaps, are commonly used as fast data structures. Unfortunately, they can use too much memory. To compensate, we often use compressed bitmaps. Roaring bitmaps are compressed bitmaps which tend to outperform conventional compressed bitmaps such as WAH, EWAH or Concise. In some instances, roaring bitmaps can be hundreds of times faster and they often offer significantly better compression. They can even be faster than uncompressed bitmaps. -
20
Robin-Stocks API Library
This is a library to use with Robinhood Financial App
This is a library to use with Robinhood Financial App. It currently supports trading crypto-currencies, options, and stocks. In addition, it can be used to get real-time ticker information, assess the performance of your portfolio, and can also get tax documents, total dividends paid, and more. The code is simple to use, easy to understand, and easy to modify. With this library, you can view information on stocks, options, and cryptocurrencies in real-time, create your own robo-investor or trading algorithm, and improve your programming skills. The supported APIs are Robinhood, Gemini, and TD Ameritrade. If you are contributing to this project and would like to use automatic testing for your changes, you will need to install pytest and pytest-dotenv. You will also need to fill out all the fields in .test.env. I recommend that you rename the file as .env once you are done adding in all your personal information. -
21
RuVector
Self-Learning, Vector Graph Neural Network, and Database built in Rust
RuVector is part of the broader rUv ecosystem of AI engineering tools and focuses on enabling advanced vector-based processing and intelligent system development within agentic and AI-driven pipelines. The project fits into a larger vision of modular, composable AI infrastructure designed to support autonomous agents, data retrieval, and intelligent automation workflows. It emphasizes extensibility and interoperability with modern AI stacks, allowing developers to integrate vector operations into search, reasoning, or generative systems. The repository reflects a research-forward approach that blends practical utilities with experimental agentic concepts, encouraging exploration of emerging AI design patterns. It is intended for developers building sophisticated AI-powered applications who need flexible vector handling and integration capabilities. -
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S3Mock
A simple mock implementation of the AWS S3 API startable as Docker
S3Mock is a lightweight server that implements parts of the Amazon S3 API. It has been created to support local integration testing by reducing infrastructure dependencies. The S3Mock server can be started as a standalone Docker container, using Test containers, JUnit4, JUnit5 and TestNG support, or programmatically. -
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SVoice (Speech Voice Separation)
We provide a PyTorch implementation of the paper Voice Separation
SVoice is a PyTorch-based implementation of Facebook Research’s study on speaker voice separation as described in the paper “Voice Separation with an Unknown Number of Multiple Speakers.” This project presents a deep learning framework capable of separating mixed audio sequences where several people speak simultaneously, without prior knowledge of how many speakers are present. The model employs gated neural networks with recurrent processing blocks that disentangle voices over multiple computational steps, while maintaining speaker consistency across output channels. Separate models are trained for different speaker counts, and the largest-capacity model dynamically determines the actual number of speakers in a mixture. The repository includes all necessary scripts for training, dataset preparation, distributed training, evaluation, and audio separation. -
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SWR
React Hooks library for remote data fetching
The name “SWR” is derived from stale-while-revalidate, a HTTP cache invalidation strategy popularized by HTTP RFC 5861. SWR is a strategy to first return the data from cache (stale), then send the fetch request (revalidate), and finally come with the up-to-date data. With SWR, components will get a stream of data updates constantly and automatically. And the UI will be always fast and reactive. With just one single line of code, you can simplify the logic of data fetching in your project, and also have all many amazing features out-of-the-box. SWR has you covered in all aspects of speed, correctness, and stability to help you build better experiences. Fast page navigation, polling on interval, data dependency, revalidation on focus, revalidation on network recovery, local mutation (Optimistic UI), smart error retry, pagination and scroll position recovery, React Suspense, and more. -
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SageMaker Hugging Face Inference Toolkit
Library for serving Transformers models on Amazon SageMaker
SageMaker Hugging Face Inference Toolkit is an open-source library for serving Transformers models on Amazon SageMaker. This library provides default pre-processing, predict and postprocessing for certain Transformers models and tasks. It utilizes the SageMaker Inference Toolkit for starting up the model server, which is responsible for handling inference requests. For the Dockerfiles used for building SageMaker Hugging Face Containers, see AWS Deep Learning Containers. The SageMaker Hugging Face Inference Toolkit implements various additional environment variables to simplify your deployment experience. The Hugging Face Inference Toolkit allows user to override the default methods of the HuggingFaceHandlerService. SageMaker Hugging Face Inference Toolkit is licensed under the Apache 2.0 License.
