Showing 1043 open source projects for "using"

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  • 1
    Doctrine Annotations

    Doctrine Annotations

    Annotations docblock parser

    Doctrine Annotations allows to implement custom annotation functionality for PHP classes. Annotations aren't implemented in PHP itself which is why this component offers a way to use the PHP doc-blocks as a place for the well known annotation syntax using the @ char. Annotations in Doctrine are used for the ORM configuration to build the class mapping, but it can be used in other projects for other purposes too. You can install the Annotation component with composer. The access to the annotations happens by reflection of the class containing them. There are multiple reader-classes implementing the Doctrine\Common\Annotations\Reader interface, that can access the annotations of a class. ...
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  • 2
    nivo

    nivo

    A rich set of dataviz components

    ...Given an array of data series having an id and a nested array of points (with x, y properties), it will compute the line for each data series. All datum having null x or y will be treated as holes, thus portions of the corresponding line will be skipped. You can fully customize it using the circleComponent property to define your own, if you wish to do so you should have a look at the default SVG component to get started. Bar chart which can display multiple data series, stacked or side by side. Also supports both vertical and horizontal layout, with negative values descending below the x axis.
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  • 3
    Parser for Rust source code

    Parser for Rust source code

    Parser for Rust source code

    ...It offers rich data structures, fine-grained parsing, span tracking (for error reporting), traversal and mutation APIs (visit, fold, visit_mut), printing back to tokens, and strong feature-gating so you only compile what you need. The documentation emphasises that while the crate is geared for procedural macros (and custom derives), some of the APIs may be of more general use. Using syn you can effectively write code that analyzes or generates Rust code at compile time.
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  • 4
    Anyhow

    Anyhow

    Flexible concrete Error type built on std::error::Error

    ...The crate supports attaching context to errors, so you can convert a low-level error (like “file not found”) into one with richer diagnostics (“Failed to read instructions from path X”) using .context() or .with_context(). It supports downcasting (so you can inspect the underlying error type), and for recent versions of Rust, it will capture backtraces by default when the underlying error type doesn’t already. It also supports no_std mode (in limited form) by disabling default features. The README distinguishes it from library-oriented error crates (like thiserror): use anyhow when you just care about application-level error handling, not fine-grained types.
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  • Atera all-in-one platform IT management software with AI agents Icon
    Atera all-in-one platform IT management software with AI agents

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  • 5
    Go Container Registry

    Go Container Registry

    Go library and CLIs for working with container registries

    go-containerregistry is a Go library (with companion tools) for interacting with container images and registries using OCI/Docker formats. It provides primitives to read, write, mutate, sign, and copy images and indexes across registries without shelling out to Docker. High-level utilities like crane and gcrane offer convenient CLIs for everyday tasks—listing tags, copying images between registries, flattening, creating tarballs, and more. The library handles authentication via a pluggable keychain system that understands Docker config files, credential helpers, and environment credentials. ...
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  • 6
    EasyExcel

    EasyExcel

    Lightweight Java library developed by Alibaba for reading and writing

    EasyExcel is a Java library focused on reading and writing Excel files with very low memory usage, making it suitable for large datasets that overwhelm traditional APIs. It uses streaming/event-driven parsing to avoid loading entire workbooks into memory, and it maps rows to Java objects via simple annotations. Writers support multiple sheets, custom styles, merged cells, and template-based filling so production reports remain maintainable. The API emphasizes developer ergonomics: callbacks...
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  • 7
    Flama

    Flama

    Fire up your models with the flame

    Flama is a python library which establishes a standard framework for development and deployment of APIs with special focus on machine learning (ML). The main aim of the framework is to make ridiculously simple the deployment of ML APIs, simplifying (when possible) the entire process to a single line of code. The library builds on Starlette, and provides an easy-to-learn philosophy to speed up the building of highly performant GraphQL, REST and ML APIs. Besides, it comprises an ideal solution...
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  • 8
    GraphQL Juniper

    GraphQL Juniper

    GraphQL server library for Rust

    GraphQL is a data query language developed by Facebook intended to serve mobile and web application frontends. Juniper makes it possible to write GraphQL servers in Rust that are type-safe and blazingly fast. We also try to make declaring and resolving GraphQL schemas as convenient as Rust will allow. Juniper does not include a web server - instead it provides building blocks to make integration with existing servers straightforward. It optionally provides a pre-built integration for the...
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  • 9
    DSharpPlus

    DSharpPlus

    A .NET Standard library for making bots using the Discord API

    All Nightly versions are available on Nuget as a pre-release. These are cutting-edge versions automatically built from the latest commit in the master branch in this repository, and as such always contains the latest changes. If you want to use the latest features on Discord, you should use the nightlies Despite the nature of pre-release software, all changes to the library are held under a level of scrutiny; for this library, unstable does not mean bad quality, rather it means that the API...
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  • The complete IT asset and license management platform Icon
    The complete IT asset and license management platform

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  • 10
    Petastorm

    Petastorm

    Petastorm library enables single machine or distributed training

    ...Petastorm supports popular Python-based machine learning (ML) frameworks such as Tensorflow, PyTorch, and PySpark. It can also be used from pure Python code. A dataset created using Petastorm is stored in Apache Parquet format. On top of a Parquet schema, petastorm also stores higher-level schema information that makes multidimensional arrays into a native part of a petastorm dataset. Petastorm supports extensible data codecs. These enable a user to use one of the standard data compressions (jpeg, png) or implement her own.
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  • 11
    PennyLane

    PennyLane

    A cross-platform Python library for differentiable programming

    A cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network. Built-in automatic differentiation of quantum circuits, using the near-term quantum devices directly. You can combine multiple quantum devices with classical processing arbitrarily! Support for hybrid quantum and classical models, and compatible with existing machine learning libraries. Quantum circuits can be set up to interface with either NumPy, PyTorch, JAX, or TensorFlow, allowing hybrid CPU-GPU-QPU computations. ...
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  • 12
    Gen.jl

    Gen.jl

    A general-purpose probabilistic programming system

    ...Gen helps users write hybrid algorithms that combine neural networks, variational inference, sequential Monte Carlo samplers, and Markov chain Monte Carlo. Gen features an easy-to-use modeling language for writing down generative models, inference models, variational families, and proposal distributions using ordinary code. But it also lets users migrate parts of their model or inference algorithm to specialized modeling languages for which it can generate especially fast code. Users can also hand-code parts of their models that demand better performance. Neural network inference is fast, but can be inaccurate on out-of-distribution data, and requires expensive training.
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  • 13
    Solid

    Solid

    A declarative JavaScript library for building user interfaces

    Solid is a declarative JavaScript library for creating user interfaces. Instead of using a Virtual DOM, it compiles its templates to real DOM nodes and updates them with fine-grained reactions. Declare your state and use it throughout your app, and when a piece of state changes, only the code that depends on it will rerun. Check out our intro video or read on! Fine-grained updates to the real DOM. Declarative data: model your state as a system with reactive primitives.
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  • 14
    Amazon Chime SDK React Components

    Amazon Chime SDK React Components

    Chime React Component Library with integrations with the Amazon SDK

    The Amazon Chime SDK makes it easy to add collaborative audio calling, video calling, and screen share features to web applications by using the same infrastructure services that power millions of Amazon Chime online meetings. The Amazon Chime SDK React Component Library supplies client-side state management and reusable UI components for common web interfaces used in audio and video conferencing applications, including: video tile grids, microphone activity indicators, and call controls. ...
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  • 15
    Amazon Chime SDK for JavaScript

    Amazon Chime SDK for JavaScript

    A JavaScript client library for integrating multi-party communications

    The Amazon Chime SDK is a set of real-time communications components that developers can use to quickly add messaging, audio, video, and screen sharing capabilities to their web or mobile applications. Developers can build on AWS's global communications infrastructure to deliver engaging experiences in their applications. For example, they can add video to a health application so patients can consult remotely with doctors on health issues, or create customized audio prompts for integration...
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  • 16
    Polaris React

    Polaris React

    Shopify’s admin product component library

    ...Downloads, links, and third-party tools to help you and your teams learn, draft, design, and build products for Shopify. Use the API to build Figma plugins, text editor extensions, or even a completely new site. While we do offer a CSS-only version, we strongly recommend using the React versions of our components. It’s the version that we use at Shopify. It allows for rich, complex components like Tabs and Popovers, and will not have as many breaking changes as the CSS-only version. If React doesn’t make sense for your application, you can use a CSS-only version of our components. This includes all the styles you need for every component in the library, but you’ll be responsible for writing the correct markup and updating classes and DOM attributes in response to user events.
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  • 17
    Metro 4

    Metro 4

    Impressive component library for expressive web development

    Create your site quickly and effectively with Metro 4. Metro 4 is a free open-source impressive components library built on html, css, javascript. Using Metro 4 is very easy, you don't even need to know javascript to make fully functional websites that interact with the user. Metro 4 is an open source project. You can access to full source code on the GitHub and get Metro 4 with free license. Metro 4 is accessible in various ways. You can get Metro 4 from NPM, Nuget, GitHub, and GitLab. ...
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  • 18
    Groq TypeScript / Node.s

    Groq TypeScript / Node.s

    The official Node.js / Typescript library for the Groq API

    ...It exports strongly-typed interfaces for models, chat completions, file uploads (e.g. for audio transcription), and other endpoints, allowing for better type safety and developer experience when using Groq from TypeScript. The library also supports passing different input types (file streams, blobs, fetch responses) for media-related endpoints, making it flexible for diverse environments (backend, browser, serverless). With this SDK, developers can call Groq’s models, transcribe audio, perform file uploads — all with minimal boilerplate — which streamlines creation of AI-enabled applications in the JavaScript/TypeScript ecosystem.
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  • 19
    AWS Lambda for .NET

    AWS Lambda for .NET

    Libraries, samples and tools to help .NET Core developers

    AWS Lambda for .NET is the repository that houses tools, libraries and templates to build and deploy AWS Lambda functions using the .NET ecosystem (including .NET Core and .NET 7+). It provides NuGet packages for event models (e.g., API Gateway, DynamoDB, S3), utilities such as Amazon.Lambda.Tools for CLI deployment, and Blueprints/templates to scaffold serverless .NET projects quickly. The framework supports writing functions in C# (and VB/F# where applicable), integrates with the .NET CLI and Visual Studio tooling, and allows developers to treat Lambda functions like any other managed .NET application while handling the deployment, packaging and runtime glue. ...
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  • 20
    Otter-Grader

    Otter-Grader

    A Python and R autograding solution

    ...It is designed to work with classes at any scale by abstracting away the autograding internals in a way that is compatible with any instructor's assignment distribution and collection pipeline. Otter supports local grading through parallel Docker containers, grading using the autograder platforms of 3rd party learning management systems (LMSs), the deployment of an Otter-managed grading virtual machine, and a client package that allows students to run public checks on their own machines. Otter is designed to grade Python scripts and Jupyter Notebooks, and is compatible with a few different LMSs, including Canvas and Gradescope.
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  • 21
    ws

    ws

    Tiny WebSocket library for Go

    ...This library aims to export efficient low-level interface for working with the protocol without forcing only one way it could be used. Library is tagged as v1* so its API must not be broken during some improvements or refactoring. Example applications using ws are developed in separate repository ws-examples. We can apply the same pattern to read and write structured responses through a JSON encoder and decoder.Zero-copy upgrade helps to avoid unnecessary allocations and copying while handling HTTP Upgrade request.
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  • 22
    Imagen - Pytorch

    Imagen - Pytorch

    Implementation of Imagen, Google's Text-to-Image Neural Network

    Implementation of Imagen, Google's Text-to-Image Neural Network that beats DALL-E2, in Pytorch. It is the new SOTA for text-to-image synthesis. Architecturally, it is actually much simpler than DALL-E2. It consists of a cascading DDPM conditioned on text embeddings from a large pre-trained T5 model (attention network). It also contains dynamic clipping for improved classifier-free guidance, noise level conditioning, and a memory-efficient unit design. It appears neither CLIP nor prior...
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  • 23
    Kornia

    Kornia

    Open Source Differentiable Computer Vision Library

    Kornia is a differentiable computer vision library for PyTorch. It consists of a set of routines and differentiable modules to solve generic computer vision problems. At its core, the package uses PyTorch as its main backend both for efficiency and to take advantage of the reverse-mode auto-differentiation to define and compute the gradient of complex functions. Inspired by existing packages, this library is composed by a subset of packages containing operators that can be inserted within...
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  • 24
    Python Outlier Detection

    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...
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  • 25
    Stanza

    Stanza

    Stanford NLP Python library for many human languages

    ...It contains tools, which can be used in a pipeline, to convert a string containing human language text into lists of sentences and words, to generate base forms of those words, their parts of speech and morphological features, to give a syntactic structure dependency parse, and to recognize named entities. The toolkit is designed to be parallel among more than 70 languages, using the Universal Dependencies formalism. Stanza is built with highly accurate neural network components that also enable efficient training and evaluation with your own annotated data.
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