Showing 1167 open source projects for "unit-api"

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  • 1
    Node.js Testing Best Practices

    Node.js Testing Best Practices

    Beyond the basics of Node.js testing

    This repository narrows the testing lens to Node.js backends, focusing on the challenges of servers, microservices, and cloud-native deployments. It covers API testing, contract testing, and persistence-layer strategies that avoid coupling tests to fragile implementation details. The material explains how to structure tests around process boundaries—HTTP, queues, cron jobs—while keeping fast feedback cycles through selective integration tests and reliable test doubles. It dives into topics like test containers, ephemeral databases, and idempotent fixtures to ensure deterministic runs in CI. ...
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  • 2
    Go Jsonnet

    Go Jsonnet

    This an implementation of Jsonnet in pure Go

    go-jsonnet is a pure Go implementation of the Jsonnet data templating language, which extends JSON with variables, functions, imports, and a standard library so you can generate complex configuration safely. Instead of hand-maintaining massive JSON files, you write concise, reusable templates that evaluate to JSON or YAML, with deterministic semantics and rich error messages. The repository ships both an embeddable VM for Go programs and a command-line interpreter, making it easy to...
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  • 3
    Penzai

    Penzai

    A JAX research toolkit to build, edit, & visualize neural networks

    ...The library integrates tightly with Treescope, an advanced pretty-printer for visualizing deeply nested JAX pytrees and NDArray structures. Penzai’s penzai.nn module provides a compositional, combinator-based API for building neural networks.
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  • 4
    Brick

    Brick

    A declarative Unix terminal UI library written in Haskell

    Brick is a Haskell terminal user interface (TUI) programming toolkit that enables developers to build rich, responsive terminal applications via a declarative model: you define a pure function that renders the UI from application state and supply state transition logic to handle events. brick exposes a declarative API. Unlike most GUI toolkits which require you to write a long and tedious sequence of widget creations and layout setup, brick just requires you to describe your interface using a set of declarative layout combinators. Event-handling is done by pattern-matching on incoming events and updating your application state. Under the hood, this library builds upon vty, so some knowledge of Vty will be necessary to use this library. ...
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    Clouddriver

    Clouddriver

    Read and write operations across cloud providers

    Clouddriver is the cloud-provider integration layer of Spinnaker, exposing a uniform API and cache for infrastructure resources across multiple clouds. It discovers and tracks entities such as server groups, load balancers, security groups, images, and instances, normalizing them so higher-level services can reason consistently. The service also brokers mutating operations—like creating server groups or resizing clusters—by translating Spinnaker requests into provider-specific calls. ...
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  • 6
    Horde

    Horde

    Horde is a distributed Supervisor and Registry

    Horde provides a distributed, fault-tolerant Registry and DynamicSupervisor for Elixir applications, letting you run and manage processes across clustered nodes as if they lived on a single machine. It relies on conflict-free replicated data types (CRDTs) to converge membership and process ownership without a central leader, so cluster topology can change freely as nodes join or leave. With Horde.Registry you register processes globally and look them up anywhere, while...
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  • 7
    frugally-deep

    frugally-deep

    A lightweight header-only library for using Keras (TensorFlow) models

    Use Keras models in C++ with ease. A lightweight header-only library for using Keras (TensorFlow) models in C++. Works out-of-the-box also when compiled into a 32-bit executable. (Of course, 64 bit is fine too.) Avoids temporarily allocating (potentially large chunks of) additional RAM during convolutions (by not materializing the im2col input matrix). Utterly ignores even the most powerful GPU in your system and uses only one CPU core per prediction. Quite fast on one CPU core, and you can...
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  • 8
    goquery

    goquery

    A little like that j-thing, only in Go

    ...Syntax-wise, it is as close as possible to jQuery, with the same function names when possible, and that warm and fuzzy chainable interface. jQuery being the ultra-popular library that it is, I felt that writing a similar HTML-manipulating library was better to follow its API than to start anew (in the same spirit as Go's fmt package), even though some of its methods are less than intuitive (looking at you, index()...).
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  • 9
    Chronicle Queue

    Chronicle Queue

    Micro second messaging that stores everything to disk

    ...The Chronicle Queue Enterprise version eliminates compatibility issues and allows for the seamless integration and sharing of data between Java, Rust, Python, and C++ libraries. Chronicle Queue is available as a fully native Java, Rust or C++ library, and also supports a Python API. All versions are fully binary compatible.
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  • 10
    Pulley

    Pulley

    A library to imitate the iOS 10 Maps UI

    ...The biggest change is the new display mode of .compact to replicate Apple Maps Behavior on the iPhone SE size class devices. Pulley is an easy to use drawer library meant to imitate the drawer in iOS 10/11's Maps app. It exposes a simple API that allows you to use any UIViewController subclass as the drawer content or the primary content.
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  • 11
    Opacus

    Opacus

    Training PyTorch models with differential privacy

    ...Vectorized per-sample gradient computation that is 10x faster than micro batching. Supports most types of PyTorch models and can be used with minimal modification to the original neural network. Open source, modular API for differential privacy research. Everyone is welcome to contribute. ML practitioners will find this to be a gentle introduction to training a model with differential privacy as it requires minimal code changes. Differential Privacy researchers will find this easy to experiment and tinker with, allowing them to focus on what matters.
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  • 12
    mlpack

    mlpack

    mlpack: a scalable C++ machine learning library

    mlpack is an intuitive, fast, and flexible C++ machine learning library with bindings to other languages. It is meant to be a machine learning analog to LAPACK, and aims to implement a wide array of machine learning methods and functions as a "swiss army knife" for machine learning researchers. In addition to its powerful C++ interface, mlpack also provides command-line programs, Python bindings, Julia bindings, Go bindings and R bindings. Written in C++ and built on the Armadillo linear...
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  • 13
    PyG

    PyG

    Graph Neural Network Library for PyTorch

    PyG (PyTorch Geometric) is a library built upon PyTorch to easily write and train Graph Neural Networks (GNNs) for a wide range of applications related to structured data. It consists of various methods for deep learning on graphs and other irregular structures, also known as geometric deep learning, from a variety of published papers. In addition, it consists of easy-to-use mini-batch loaders for operating on many small and single giant graphs, multi GPU-support, DataPipe support,...
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  • 14
    AWS SDK ZF2 Module

    AWS SDK ZF2 Module

    ZF2 module for using the AWS SDK for PHP to interact with AWS services

    ...The SDK is a modern, open-source PHP library that makes it easy to integrate your PHP application with AWS services like Amazon S3, Amazon Glacier, and Amazon DynamoDB. Version 3 of the AWS SDK for PHP is now generally available and includes a number of improvements and new features while maintaining nearly identical API patterns for easy migration from version 2. Conveniently marshal and unmarshal JSON documents and PHP arrays for storage in Amazon DynamoDB. Remove the session state scale bottleneck by easily storing the application session state in DynamoDB. Use PHP's built-in functions such as fopen, copy, and file_get_contents to work with objects stored in Amazon S3. ...
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  • 15
    Pedestal

    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. ...
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  • 16
    Selenium-python Helium

    Selenium-python Helium

    Selenium-python but lighter: Helium is the best Python library

    Under the hood, Helium forwards each call to Selenium. The difference is that Helium's API is much more high-level. In Selenium, you need to use HTML IDs, XPaths and CSS selectors to identify web page elements. Helium on the other hand lets you refer to elements by user-visible labels. As a result, Helium scripts are typically 30-50% shorter than similar Selenium scripts. What's more, they are easier to read and more stable with respect to changes in the underlying web page.
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  • 17
    Doctrine Inflector

    Doctrine Inflector

    Small library for string manipulations to uppercase/lowercase words

    PHP Doctrine Inflector is a small library that can perform string manipulations with regard to upper/lowercase and singular/plural forms of words. The Doctrine Inflector has methods for inflecting text. The features include pluralization, singularization, converting between camelCase and under_score and capitalizing words. Using the inflector is easy, you can create a new Doctrine\Inflector\Inflector instance by using the Doctrine\Inflector\InflectorFactory class. By default it will create...
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  • 18
    TensorFlow.js

    TensorFlow.js

    TensorFlow.js is a library for machine learning in JavaScript

    ...Tensors are the core datastructure of TensorFlow.js They are a generalization of vectors and matrices to potentially higher dimensions. Built on top of TensorFlow.js, the ml5.js library provides access to machine learning algorithms and models in the browser with a concise, approachable API. Comfortable with concepts like Tensors, Layers, Optimizers and Loss Functions (or willing to get comfortable with them)? TensorFlow.js provides flexible building blocks for neural network programming in JavaScript.
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  • 19
    spaCy

    spaCy

    Industrial-strength Natural Language Processing (NLP)

    ...It comes with pretrained statistical models and word vectors, convolutional neural network models, easy deep learning integration and so much more. spaCy is the fastest syntactic parser in the world according to independent benchmarks, with an accuracy within 1% of the best available. It's blazing fast, easy to install and comes with a simple and productive API.
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  • 20
    react-error-boundary

    react-error-boundary

    Simple reusable React error boundary component

    react-error-boundary is a tiny, well-tested utility that makes React’s error boundaries practical and ergonomic for everyday apps. It wraps React’s error-handling primitives in a single <ErrorBoundary> component with a predictable API for rendering fallbacks when descendant components throw during render, lifecycle, or event handlers. The library emphasizes recovery, not just failure: you can reset the error state programmatically or when certain “reset keys” change, returning the subtree to a healthy state without a full page refresh. It supports both declarative fallbacks (elements) and a render-prop approach so you can tailor the UI to the error and provide retry buttons or diagnostics. ...
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  • 21
    Homemade Machine Learning

    Homemade Machine Learning

    Python examples of popular machine learning algorithms

    ...The purpose is pedagogical: you’ll see linear regression, logistic regression, k-means clustering, neural nets, decision trees, etc., built in Python using fundamentals like NumPy and Matplotlib, not hidden behind API calls. It is well suited for learners who want to move beyond library usage to understand how algorithms operate internally—how cost functions, gradients, updates and predictions work.
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  • 22
    Starter Applets

    Starter Applets

    Google AI Studio Starter Apps

    ...The repo supplies a CLI or script to scaffold new applet templates, letting developers spin up small Gemini-powered components quickly. Each applet includes configuration parameters (API keys, model selection, prompt parameters) in a secure but flexible format. Because applets are meant to be composable, they adopt a modular plugin architecture so you can integrate one into a Next.js, Flutter, or native app with minimal glue.
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  • 23
    FlashMLA

    FlashMLA

    FlashMLA: Efficient Multi-head Latent Attention Kernels

    ...On very compute-bound settings, it can reach up to ~660 TFLOPS on H800 SXM5 hardware, while in memory-bound configurations it can push memory throughput to ~3000 GB/s. The team regularly updates it with performance improvements; for example, a 2025 update claims 5 % to 15 % gains on compute-bound workloads while maintaining API compatibility.
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  • 24
    clj-http

    clj-http

    An idiomatic clojure http client wrapping the apache client

    clj-http is a popular Clojure library for making HTTP requests, built as a wrapper around Apache’s HttpClient. It uses Ring-style request/response maps and middleware, fitting seamlessly into idiomatic Clojure applications. clj-http allows coercing the body of the request either before it is sent (input coercion), or after it’s received (output coercion) from the server. By default, JSON coercion is only applied when the response’s status is considered “unexceptional”. If the...
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  • 25
    Floem

    Floem

    A native Rust UI library with fine-grained reactivity

    Floem is a cross-platform GUI framework for Rust. It aims to be extremely performant while providing world-class developer ergonomics. Supporting both GPU and CPU rendering, Floem gives you performance that's closest to bare metal. Also primitives are provided to help the developer to write performant UI code without too much effect.
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