Open Source Libraries - Page 86
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FS2
Compositional, streaming I/O library for Scala
FS2 (“Functional Streams for Scala”) is a purely functional, effectful abstraction for stream processing on the JVM. Built on Cats Effect, it enables compositional resource-safe streaming workflows with robust error handling, back-pressure, pull/push semantics, and support for concurrent and interruptible pipelines. -
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Web gallery based on pre-generated metadata, typically according to directory structure, not database or an administration. Development moved to: http://github.com/martinkozak/fsgal.
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FSVS
Full Screen Vertical Scroll
Simple full-screen vertical slider using CSS3 transitions followed up by a jQuery fallback. Bound events support the mouse wheel, click and drag, arrow keys, and touch gestures. -
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Several language bindings for the FTDI D2XX driver used in FTDI's USB products. Currently supported languages are Python (pyd2xx), Java (jd2xx), CSharp (csd2xx) and LabVIEW (lvd2xx).
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FTPLIB
FTP client class library.
Ftp classes, currently only FTP Client is implemented. -
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FUGE
A lightweight GUI library
FUGE is a lightweight GUI library, intended to be used primarily in games and tools for game development. Supports graphics renderer adaptation, real-time layout editing, XML serialization, color schemes. Documentation contain tutorials with examples. Available on MS Windows and Linux. -
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FXForms
Library for easily creating table-based forms on iOS
FXForms is a form-building framework for iOS that turns model definitions into polished data-entry screens with minimal boilerplate. You describe your form fields declaratively—types, titles, options, validation hints—and the library generates a UITableView-based UI using appropriate cells and input controls. It supports common patterns like pickers, switches, segmented controls, text fields, and text views, while letting you supply custom cells when your design demands it. The framework handles value binding between the UI and your model object, so you don’t have to wire up outlets or write repetitive save/validate code. Navigation behaviors such as next-field focus and section grouping are built in, improving usability out of the box. By reducing form glue code, FXForms helps teams ship consistent, maintainable data-entry flows faster, especially in apps with many settings or profile screens. -
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FXPLib is a game creation library that uses SDL, OpenGL, ODE and more, to provide an easy interface to program games in 2D. It manages lights and gravitation between animated objects. It provides a configuration interface for players with a simple scripting language called FXPQuest.
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FXWindowFramer
A JavaFX library to repaint your Applications window frame.
Most developer’s wish list probably hosts the idea of exploring new ways of decorating his/her applications window... Of course, preferences of current OSes do propose a few options, but some may want more, or different choices, would it just be to frame their apps with their own uniform “branded” style. FXWindowFramer is a quite simple JavaFX library, which may be used to change the look&feel of a JavaFX application (applying just a few cosmetic changes through CSS definitions), or, as a starting point, to investigate more advanced alternatives... To keep things simple and the prototype easy to understand, FXWindowFramer only touches the application window frame (borders and nameplate), and only supports, as such, desktop applications that do not need resizing. The goal is : Keep the painting intact, but change that frame, keeping it as simple and close to usual JavaFX initialization as possible! -
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Faast.js
Serverless batch computing made simple
Serverless batch computing made simple. Serverless function architectures are optimized for event-driven systems. Faast.js simplifies serverless batch applications by automating infrastructure, code packaging, invocation, and cleanup. Combine the power of scalable serverless functions with the ease-of-use and familiarity of ordinary async functions. Go from zero to a thousand cores in seconds. Scale back down to zero just as quickly. Faast.js delivers the brute force power of the cloud with the convenience and familiarity of asynchronous function calls. Deploy without zip files. Zero-configuration support for bundling dependencies with built-in webpack support. Use native dependencies, even on AWS Lambda. Faast.js eliminates the friction of using packages with serverless functions. Cost snapshots estimate the cost of your serverless function invocations in real time. For deeper analysis, use the Cost Analyzer to estimate the cost of workloads against multiple serverless configurations. -
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FabOptions
A multi-functional FAB component with customizable options
A multi-functional FAB component with customizable options. -
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Fabric8 Pipeline Library
Fabric8 Pipeline for Jenkins
This repository is a Jenkins Shared Library that packages reusable pipeline steps and patterns for building, testing, and releasing containerized applications to Kubernetes and OpenShift. It codifies best practices—building images, running unit/integration tests, publishing artifacts, and rolling out changes—so teams can adopt a consistent CI/CD approach with minimal Groovy code. The library includes helpers for preview environments, GitOps-style promotion, and release versioning to improve traceability across stages. Because it abstracts low-level CLI invocations, pipelines become more declarative and easier to review. It encourages composable, parameterized pipelines that work across many repositories while still allowing per-service overrides. Organizations use it to bootstrap platform-aligned pipelines quickly and reduce drift in how services are built and deployed. -
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Face Verification Experiment
Original Caffe Version for LightCNN-9. Highly recommend to use PyTorch
face_verification_experiment is a research repository focused on experiments in face verification using deep learning. It provides implementations and scripts for testing different neural network architectures and training strategies on face recognition and verification tasks. The project is designed to help researchers and practitioners evaluate the performance of models on standard datasets and explore techniques for improving accuracy. By offering experimental setups, it enables reproducibility and comparative study of face verification approaches. The repository serves as a resource for understanding the application of convolutional neural networks to identity verification, highlighting both methodology and results. It is primarily intended for academic and research purposes in computer vision and biometrics. -
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A Java library for your BlackBerry applications to integrate with Facebook using OAuth 2.0 and Graph API.
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Facebox
Facebook-style lightbox, built in jQuery
Facebox is a jQuery-based lightbox plugin designed to display content in a modal overlay on top of a webpage. It allows developers to present images, HTML content, or remote data in a visually appealing popup without navigating away from the current page. The plugin is inspired by early lightbox implementations and focuses on simplicity and ease of integration into existing web projects. It provides a clean user experience by dimming the background and highlighting the modal content, drawing attention to the displayed information. Facebox supports loading content via AJAX, making it useful for dynamic applications where content is fetched on demand. It also includes basic styling and animation effects to enhance usability and presentation. -
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FairChem
FAIR Chemistry's library of machine learning methods for chemistry
FAIRChem is a unified library for machine learning in chemistry and materials, consolidating data, pretrained models, demos, and application code into a single, versioned toolkit. Version 2 modernizes the stack with a cleaner core package and breaking changes relative to V1, focusing on simpler installs and a stable API surface for production and research. The centerpiece models (e.g., UMA variants) plug directly into the ASE ecosystem via a FAIRChem calculator, so users can run relaxations, molecular dynamics, spin-state energetics, and surface catalysis workflows with the same pretrained network by switching a task flag. Tasks span heterogeneous domains—catalysis (OC20-style), inorganic materials (OMat), molecules (OMol), MOFs (ODAC), and molecular crystals (OMC)—allowing one model family to serve many simulations. The README provides quick paths for pulling models (e.g., via Hugging Face access), then running energy/force predictions on GPU or CPU. -
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FairScale
PyTorch extensions for high performance and large scale training
FairScale is a collection of PyTorch performance and scaling primitives that pioneered many of the ideas now used for large-model training. It introduced Fully Sharded Data Parallel (FSDP) style techniques that shard model parameters, gradients, and optimizer states across ranks to fit bigger models into the same memory budget. The library also provides pipeline parallelism, activation checkpointing, mixed precision, optimizer state sharding (OSS), and auto-wrapping policies that reduce boilerplate in complex distributed setups. Its components are modular, so teams can adopt just the sharding optimizer or the pipeline engine without rewriting their training loop. FairScale puts emphasis on correctness and debuggability, offering hook points, logging, and reference examples for common trainer patterns. Although many ideas have since landed in core PyTorch, FairScale remains a valuable reference and a practical toolbox for squeezing more performance out of multi-GPU and multi-node jobs. -
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Fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python
Fairseq(-py) is a sequence modeling toolkit that allows researchers and developers to train custom models for translation, summarization, language modeling and other text generation tasks. We provide reference implementations of various sequence modeling papers. Recent work by Microsoft and Google has shown that data parallel training can be made significantly more efficient by sharding the model parameters and optimizer state across data parallel workers. These ideas are encapsulated in the new FullyShardedDataParallel (FSDP) wrapper provided by fairscale. Fairseq can be extended through user-supplied plug-ins. Models define the neural network architecture and encapsulate all of the learnable parameters. Criterions compute the loss function given the model outputs and targets. Tasks store dictionaries and provide helpers for loading/iterating over Datasets, initializing the Model/Criterion and calculating the loss. -
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FakeItEasy
The easy mocking library for .NET
A .Net dynamic fake framework for creating all types of fake objects, mocks, stubs etc. Easier semantics, all fake objects are just that, fakes. Usage determines whether they're mocks or stubs. Context-aware fluent interface guides the developer. Easy to use and compatible with both C# and VB.Net. Every faked instance looks and feels like an instance of the faked type. Helpful exception messages identify where a test went wrong. Raising events from faked objects. Explicit assertions, stated at the end of the test. Type-safe faking of classes that require constructor arguments. Automatic generation of dummy constructor arguments, if desired. Extensible facilities for fake and dummy creation and argument formatting. Use your fake as you would an instance of the faked type. Asserting uses the same syntax as configuring calls. -
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Fakeit
The Kotlin fake data generator library!
This library is a port of the Ruby Gem Faker. It generates realistic fake data — like names, emails, dates, and countries, for a variety of scenarios, including automated testing and database population. The library was originally created for Android projects, but it can be used in any Java or Kotlin project. -
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Falcon Time
High Performance LAN Time Synchronization
Falcon Time consists of two parts, a time server that will provide the base time for the network and an application library that is linked in to each application wishing to use the synchronized time from the time client. It is designed to work over a Local Area Network (LAN) and can synchronize time between two systems down to the time required for a ping between them or even below. It is also quick to start-up, being ready for use by the application in just a few milliseconds, rather than the hours or days required by NTP. -
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Fancy Components
Library of fancy, fun, animated react components
Fancy is an open source library of animated React components and microinteractions created to make web interfaces feel more expressive, playful, and visually engaging. Instead of focusing only on utility-first static UI primitives, the project emphasizes motion, delight, and the small interaction details that can make an interface feel more premium and memorable. Its positioning suggests a growing collection rather than a fixed set of components, which makes it appealing for designers and frontend developers who want a source of creative interaction patterns they can keep revisiting as the library expands. The project is also clearly aligned with a modern React stack, and its topic tags indicate a strong connection to animation, motion design, Tailwind CSS, and Framer Motion. -
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FancyGrid
JavaScript grid library with charts integration & server communication
JavaScript grid library with charts integration and server communication. Massive number of features, Paging, Sorting, Filtering, Validation, Ajax data, Files data, RESTful, flexible CRUD, Integration with charts, Form module, Theming, Touch Support, and others. FancyGrid is integrated(data binding) with chart libraries, HighCharts, and sparklines. Intelligent modules system auto-detects and loads needed modules. Good Documentation, Elegant API, Number of Samples, and Professional Support. -
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FancyToast-Android
Make your native android Toasts Fancy
Make your native Android Fantasy Toasts. A library that takes standard Android toast to the next level with a variety of style options. His style of code toast. Make your native Android Fantasy and Gify dialogue. A library that takes the Android dialog standard to the next level with a variety of style options and the GIF of. Your dialogue style from the code. Make your native Fantasy dialogue android. A library that takes the Android dialog standard to the next level with a variety of style options. Your dialogue style from the code. Fantasy Tutorial is a simple and lightweight library that helps you create fresh and beautiful introduction displays for your applications without having to write dozens of lines of code. As its name describes it, it is an Android library that can be used to display badges that react like facebook. -
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Fantasy Land Specification
Specification for interoperability of JavaScript algebraic structures
This project specifies interoperability of common algebraic structures like Setoid, Ord, Semigroupoid, Category, Semigroup, Monoid, Group, Filterable, Functor, Contravariant, Apply, Applicative, etc. An algebra is a set of values, a set of operators that it is closed under and some laws it must obey. Each Fantasy Land algebra is a separate specification. An algebra may have dependencies on other algebras which must be implemented. "Value" is any JavaScript value, including any which have the structures defined below. "Equivalent" is an appropriate definition of equivalence for the given value. The definition should ensure that the two values can be safely swapped out in a program that respects abstractions. For example, two lists are equivalent if they are equivalent at all indices, two plain old JavaScript objects, interpreted as dictionaries, are equivalent when they are equivalent for all keys, two promises are equivalent when they yield equivalent values, etc.
