Libraries for ChromeOS

  • Gemini 3 and 200+ AI Models on One Platform Icon
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  • 1
    TestNG Data Binding

    TestNG Data Binding

    Provides data binding from various data sources to TestNG test methods

    This project provides data binding from various data sources to TestNG test method parameters. Currently implemented is the binding from CSV, Properties, Text and XML files. Supported are test input parameters as well as test output parameters. Binding is provided for all primitive Java data types including Strings, lists of those, Java Beans, lists of Java Beans and enums. As the framework is plugin based support for new data sources can easily be added by implementing a new plugin. Please see the JavaDoc accessible on the project's website for detailed information. Please see the wiki for the maven coordinates if you want to add the TestNG Data Binding framework as a dependency to your maven project.
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  • 2
    Testcontainers Java

    Testcontainers Java

    Testcontainers is a Java library that supports JUnit tests

    Testcontainers for Java is a Java library that supports JUnit tests, providing lightweight, throwaway instances of common databases, Selenium web browsers, or anything else that can run in a Docker container. Use a containerized instance of a MySQL, PostgreSQL or Oracle database to test your data access layer code for complete compatibility, but without requiring complex setup on developers' machines and safe in the knowledge that your tests will always start with a known DB state. Any other database type that can be containerized can also be used. For running your application in a short-lived test mode with dependencies, such as databases, message queues or web servers. Use containerized web browsers, compatible with Selenium, for conducting automated UI tests. Each test can get a fresh instance of the browser, with no browser state, plugin variations or automated browser upgrades to worry about. And you get a video recording of each test session.
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  • 3
    Text Typesetting

    Text Typesetting

    Concise guide to better typography and formatting practices

    Text-Typesetting is a concise guide to better typography and formatting practices for technical writing. It collects rules of spacing, punctuation, emphasis, and layout that improve readability, especially in documents mixing multiple languages or code. The repository focuses on consistent micro-typography—such as when to use non-breaking spaces, how to place punctuation around quotes, and how to format lists and headings. Examples show the before/after impact of small adjustments, making the guidance practical rather than theoretical. Because the recommendations are tooling-agnostic, they apply to Markdown, HTML, slides, and printed PDFs alike. It’s a handy checklist for authors who want cleaner, more professional documents without becoming typography experts.
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  • 4
    TextTailor.js

    TextTailor.js

    jQuery plugin, tailor made text to fill height of the parent element

    Tailor-made text to fit your needs! Responsive text to fill the height of the parent element or ellipse it when it doesn't fit.
    Downloads: 0 This Week
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  • 5
    Consider clib as mini glib sitting on top of uClibc. BSDLed and with embedded system in mind.
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  • 6
    The DDay Project is a collection of open-source class libraries covering an array of .NET technologies. These libraries fill in major gaps in .NET technologies, and attempt to provide a "better way" to develop applications.
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  • 7
    The Flatware Engine aims to be a cross-platform, resolution-independent engine and toolset for developing 2D games (side scroller, isometric, etc.)
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  • 8
    The NLopt module for Julia

    The NLopt module for Julia

    Package to call the NLopt nonlinear-optimization library from Julia

    This module provides a Julia-language interface to the free/open-source NLopt library for nonlinear optimization. NLopt provides a common interface for many different optimization algorithms.
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  • 9
    The Neural Process Family

    The Neural Process Family

    This repository contains notebook implementations

    Neural Processes (NPs) is a collection of interactive Jupyter/Colab notebook implementations developed by Google DeepMind, showcasing three foundational probabilistic machine learning models: Conditional Neural Processes (CNPs), Neural Processes (NPs), and Attentive Neural Processes (ANPs). These models combine the strengths of neural networks and stochastic processes, allowing for flexible function approximation with uncertainty estimation. They can learn distributions over functions from data and efficiently make predictions at new inputs with calibrated uncertainty — making them useful for few-shot learning, Bayesian regression, and meta-learning. Each notebook includes theoretical explanations, key building blocks, and executable code that runs directly in Google Colab, requiring no local setup. Implementations rely only on standard dependencies such as NumPy, TensorFlow, and Matplotlib, and provide visualizations of model performance.
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  • 10
    The Panini Language

    The Panini Language

    Better Modularity, Better Concurrency

    This project makes the compiler and tools for the Panini language available. A central goal of the Panini language is to make concurrent programming easier and less error-prone. The main new feature in Panini is called a capsule. A capsule is like an actor but better because it largely retains the traditional approach for reasoning about programs as a sequence of operations, abstracts away all details of thread creation and locking, and supports fully-automatic compile-time analysis of common concurrency hazards. Panini is simple and efficient. We invite you to try it out. Downloads are available from http://paninij.org/download/
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  • 11
    The-Force

    The-Force

    Built with MVVM pattern, Koin , Coroutines + Flows

    An Android app consuming a Star Wars API to display Movie Characters it has been built with clean architecture principles, Repository Pattern and MVVM pattern as well as Architecture Components.
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  • 12
    Theseus

    Theseus

    A library for differentiable nonlinear optimization

    Theseus is a library for differentiable nonlinear optimization that lets you embed solvers like Gauss-Newton or Levenberg–Marquardt inside PyTorch models. Problems are expressed as factor graphs with variables on manifolds (e.g., SE(3), SO(3)), so classical robotics and vision tasks—bundle adjustment, pose graph optimization, hand–eye calibration—can be written succinctly and solved efficiently. Because solves are differentiable, you can backpropagate through optimization to learn cost weights, feature extractors, or initialization networks end-to-end. The implementation supports batched optimization on GPU, robust losses, damping strategies, and custom factors, making it practical for real-time systems. Helper packages provide geometry primitives and utilities for composing priors, relative constraints, and measurement models. Theseus bridges the gap between classical optimization and deep learning, enabling hybrid systems that learn components.
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  • 13

    ThinORM

    A lightweight ORM that does not require annotations.

    This project was the result of working on systems constrained to versions of Java < 1.5 and including a great deal of code dealing with object persistence. This project was essentially a proof-of-concept to determine whether or not I could create, essentially, an alternative to JPA that did not rely on annotations. I was able to create a working system, and a fairly lightweight one at that, but it would require a great deal of work to be production ready.
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  • 14
    ThirtyInch

    ThirtyInch

    A MVP library for Android favoring a stateful Presenter

    This library adds Presenters to Activities and Fragments. It favors the stateful Presenter pattern, where the Presenter survives configuration changes and the dumb View pattern, where the View only sends user events and receives information from the Presenter but never actively asks for data. This makes testing very easy because no logic lives in the View (Activity, Fragment) except for fancy animations which anyway aren't testable.
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  • 15
    ThunderGraph is another java charting library intended to draw 2D graphs. Additionally, it contains a package that presents a live component implementing zoomable, scrollable and 'hintable' graph. Written for JDK 1.1+, it may be used in MS IE applets.
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  • 16
    TilesFX

    TilesFX

    A JavaFX library containing tiles that can be used for dashboards

    A JavaFX library containing tiles for Dashboards. The Tile is a simple JavaFX Control that comes with different skins. To get an idea on how to use the skins with their parameters you could either take a look at the Demo file or check out the TilesFX Demo project which also contains information on how to combine TilesFX with other libraries e.g. Medusa You can also check my blog where you will find additional information about certain tiles.
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  • 17
    Tilt.js

    Tilt.js

    A tiny 60+fps parallax tilt hover effect for jQuery

    A tiny requestAnimationFrame powered 60+fps lightweight parallax hover tilt effect for jQuery.
    Downloads: 0 This Week
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  • 18
    Time

    Time

    Type-safe time calculations in Swift

    Type-safe time calculations in Swift. Time is not just a bunch of Double conversion functions. The main advantage of it is that all time units are strongly-typed. Starting with Xcode 11, Time is officially available only via Swift Package Manager. Of course, you always have an option of just copying-and-pasting the code - Time is just two files, so feel free.
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  • 19
    Time Kotlin

    Time Kotlin

    Type-safe time calculations in Kotlin, powered by generics

    Type-safe time calculations in Kotlin, powered by generics.
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  • 20
    Time2 Library
    The Time2 Java library provides generic time series with configurable time domains.
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  • 21
    A PHP library for creating time series charts. This library was developed for the PgMonitor and OpenStats projects, but it's possible to use it separately.
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  • 22
    Tiny Constraints

    Tiny Constraints

    Nothing but sugar

    TinyConstraints is the syntactic sugar that makes Auto Layout sweeter for human use.
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  • 23
    Library to abstract the implementation of the use of the database, and use it as object oriented. It allows the user to easily persist objects and retrieve them (like JPA but without the overhead and footprint that JPA implies).
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  • 24
    TinyGC (Tiny Garbage Collector) is an independent implementation of the API of the well-known Boehm-Demers-Weiser Conservative GC
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  • 25
    TinyHTML++

    TinyHTML++

    Allows to parse HTML in C++

    This library allows to parse HTML in C++. Its main focus is put on stability and simplicity rather than pure performance. TinyHTML++ is even able to parse and correct wrong HTML documents. It is also possible to get the page in text format as a user of a webbrowser reads it. TinyHTML++ also allows to convert it back to a HTML string. Please let me know if you find any bugs.
    Downloads: 0 This Week
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