Showing 12087 open source projects for "framework"

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  • 1
    react-highlight-words

    react-highlight-words

    React component to highlight words within a larger body of text

    ...The highlight output is easy to restyle via a custom tag (like mark) or inline styles, keeping the visual layer decoupled from the matching logic. Because it’s small and framework-idiomatic, it drops into tables, lists, virtualized scroll areas, and complex UIs without forcing layout changes.
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  • 2
    Node.js Best Practices

    Node.js Best Practices

    The Node.js best practices list (July 2024)

    This repository is a living, community-curated guide to writing robust, maintainable Node.js applications at scale. It organizes advice into clear sections—project structure, error handling, security, testing, performance, reliability, and maintainability—so teams can adopt improvements incrementally. Each guideline is phrased as a practical recommendation with motivation and trade-offs, not just a rule, which makes it easier to reach team consensus. The content aims to be...
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  • 3
    RealWorld

    RealWorld

    Exemplary fullstack Medium.com clone powered by React, Angular, Node

    ...The same spec is realized dozens of times (React, Vue, Svelte, Angular, Solid, Next, Remix, and many more), alongside multiple server implementations, so learners can compare idioms without guessing about feature gaps. A shared API contract and test suite keep implementations consistent and reveal framework-specific tradeoffs clearly. This makes the repo a powerful teaching tool for architecture, state management, testing, and deployment patterns at production scale. Teams also use it to evaluate new frameworks by building “yet another RealWorld” and measuring DX, bundle size, and maintainability.
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  • 4
    nanochat

    nanochat

    The best ChatGPT that $100 can buy

    ...The code is written to be read—concise training loops, transparent configs, and minimal wrappers—so you can audit each step, tweak it, and rerun without getting lost in framework indirection.
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  • 5
    MuJoCo Playground

    MuJoCo Playground

    An open source library for GPU-accelerated robot learning

    MuJoCo Playground, developed by Google DeepMind, is a GPU-accelerated suite of simulation environments for robot learning and sim-to-real research, built on top of MuJoCo MJX. It unifies a range of control, locomotion, and manipulation tasks into a consistent and scalable framework optimized for JAX and Warp backends. The project includes classic control benchmarks from dm_control, advanced quadruped and bipedal locomotion systems, and dexterous as well as non-prehensile manipulation setups. It also offers optional vision-based training capabilities through integration with Madrona-MJX, allowing researchers to train policies directly from image input on GPUs. ...
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  • 6
    4M

    4M

    4M: Massively Multimodal Masked Modeling

    4M is a training framework for “any-to-any” vision foundation models that uses tokenization and masking to scale across many modalities and tasks. The same model family can classify, segment, detect, caption, and even generate images, with a single interface for both discriminative and generative use. The repository releases code and models for multiple variants (e.g., 4M-7 and 4M-21), emphasizing transfer to unseen tasks and modalities.
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  • 7
    MetaCLIP

    MetaCLIP

    ICLR2024 Spotlight: curation/training code, metadata, distribution

    MetaCLIP is a research codebase that extends the CLIP framework into a meta-learning / continual learning regime, aiming to adapt CLIP-style models to new tasks or domains efficiently. The goal is to preserve CLIP’s strong zero-shot transfer capability while enabling fast adaptation to domain shifts or novel class sets with minimal data and without catastrophic forgetting. The repository provides training logic, adaptation strategies (e.g. prompt tuning, adapter modules), and evaluation across base and target domains to measure how well the model retains its general knowledge while specializing as needed. ...
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  • 8
    DINOv2

    DINOv2

    PyTorch code and models for the DINOv2 self-supervised learning

    DINOv2 is a self-supervised vision learning framework that produces strong, general-purpose image representations without using human labels. It builds on the DINO idea of student–teacher distillation and adapts it to modern Vision Transformer backbones with a carefully tuned recipe for data augmentation, optimization, and multi-crop training. The core promise is that a single pretrained backbone can transfer well to many downstream tasks—from linear probing on classification to retrieval, detection, and segmentation—often requiring little or no fine-tuning. ...
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  • 9
    DreamCraft3D

    DreamCraft3D

    Official implementation of DreamCraft3D

    DreamCraft3D is DeepSeek’s generative 3D modeling framework / model family that likely extends their earlier 3D efforts (e.g. Shap-E or Point-E style models) with more capability, control, or expression. The name suggests a “dream crafting” metaphor—users probably supply textual or image prompts and generate 3D assets (point clouds, meshes, scenes). The repository includes model code, inference scripts, sample prompts, and possibly dataset preparation pipelines.
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  • 10
    3FS

    3FS

    A high-performance distributed file system

    The 3FS repository (standing likely for “Feature 3F System” or similar) is focused on providing a feature extraction and transformation framework tailored to deep and large models, especially in token-based systems. Its primary aim is to support efficient and scalable feature transformation pipelines—especially for inference environments—by batching, caching, and integrating feature-based modules like segmenters, sparse retrievers, and scorers seamlessly. The repo includes APIs to define components (e.g. seg, ret, scor) that wrap or interface with external or internal modules, as well as logic to schedule and compose these feature transforms. ...
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  • 11
    Pundit

    Pundit

    Minimal authorization through OO design and pure Ruby classes

    Pundit (varvet/pundit) is a Ruby gem that provides a simple and effective framework for adding authorization logic to Rails (or other Ruby) applications. It centers around policy classes—one policy per model or resource—that define what actions a given user is permitted to perform (e.g., show?, update?, destroy?). Each policy method returns a boolean, and can be structured using combinators or shared logic to keep things DRY.
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  • 12
    mlr3

    mlr3

    mlr3: Machine Learning in R - next generation

    mlr3 is a modern, object-oriented R framework for machine learning. It provides core abstractions (tasks, learners, resamplings, measures, pipelines) implemented using R6 classes, enabling extensible, composable machine learning workflows. It focuses on clean design, scalability (large datasets), and integration into the wider R ecosystem via extension packages. Users can do classification, regression, survival analysis, clustering, hyperparameter tuning, benchmarking etc., often via companion packages.
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  • 13
    PowerHub

    PowerHub

    A post exploitation tool based on a web application

    PowerHub is a PowerShell-based automation framework designed to centralize and orchestrate common administrative tasks across Windows environments. It exposes a modular command set for inventorying systems, managing services, deploying packages, and executing remote commands with consistent logging and error handling. The project places emphasis on discoverability and reuse: scripts are organized into reusable modules and functions with clear parameter contracts so teams can compose higher-level workflows without duplicating glue code. ...
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  • 14
    Surface

    Surface

    A server-side rendering component library for Phoenix

    ...By combining the productivity of declarative components with LiveView’s real-time updates, Surface enables rich, interactive apps without requiring a separate frontend framework like React or Vue.
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  • 15
    Rspamd

    Rspamd

    Rapid spam filtering system

    Rspamd is an advanced spam filtering system and email processing framework that allows evaluation of messages by a number of rules including regular expressions, statistical analysis and custom services such as URL black lists. Each message is analysed by Rspamd and given a verdict that might be used by MTA for further processing (e.g. to reject a message, or add a special header indicating spam) along with other information, such as possible DKIM signature or modifications suggested for a message. ...
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  • 16
    KubeEdge

    KubeEdge

    Kubernetes Native Edge Computing Framework (project under CNCF)

    KubeEdge is built upon Kubernetes and extends native containerized application orchestration and device management to hosts at the Edge. It consists of a cloud part and an edge part, and provides core infrastructure support for networking, application deployment, and metadata synchronization between the cloud and edge. It also supports MQTT which enables edge devices to access through edge nodes. With KubeEdge it is easy to get and deploy existing complicated machine learning, image...
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  • 17
    nb-clean

    nb-clean

    Clean Jupyter notebooks of outputs, metadata, and empty cells

    ...It can determine if a notebook is clean or not, which can be used as a check in your continuous integration pipelines. nb-clean can also be used as a pre-commit hook. You may prefer this to the Git filter if your project already uses the pre-commit framework. Note that the Git filter and pre-commit hook work differently, with different effects on your working directory. The pre-commit hook operates on the notebook on disk, cleaning the copy in your working directory. The Git filter cleans notebooks as they are added to the index, leaving the copy in your working directory dirty.
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  • 18
    SBJson 5

    SBJson 5

    This framework implements a strict JSON parser and generator

    Chunk-based JSON parsing and generation in Objective-C. SBJson's number one feature is stream/chunk-based operation. Feed the parser one or more chunks of UTF8-encoded data and it will call a block you provide with each root-level document or array. Or, optionally, for each top-level entry in each root-level array. With this you can reduce the apparent latency for each download/parse cycle of documents over a slow connection. You can start parsing and return chunks of the parsed document...
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  • 19
    Chronicle Queue

    Chronicle Queue

    Micro second messaging that stores everything to disk

    Micro second messaging that stores everything to disk. With millions of users worldwide, Chronicle Queue is a leading choice for organizations of all sizes seeking a low-latency, high-performance messaging framework. 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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  • 20
    Atlantis iOS

    Atlantis iOS

    A lightweight and powerful iOS framework for intercepting HTTP/HTTPS

    Don't let cumbersome web debugging tools hold you back. With Proxyman's native macOS app, you can capture, inspect, and manipulate HTTP(s) traffic with ease. Intuitive, thoughtful, and built with meticulous attention to detail. Dive into the network level to diagnose and fix problems with reliable and powerful tools. Proxyman acts as a man-in-the-middle server that captures the traffic between your applications and SSL Web Server. With a built-in macOS setup, so you can inspect your...
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  • 21
    DataQualityDashboard

    DataQualityDashboard

    A tool to help improve data quality standards in data science

    ...The quality checks were organized according to the Kahn Framework1 which uses a system of categories and contexts that represent strategies for assessing data quality. Using this framework, the Data Quality Dashboard takes a systematic-based approach to running data quality checks. Instead of writing thousands of individual checks, we use “data quality check types”. These “check types” are more general, parameterized data quality checks into which OMOP tables, fields, and concepts can be substituted to represent a singular data quality idea.
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  • 22
    Apache Hudi

    Apache Hudi

    Upserts, Deletes And Incremental Processing on Big Data

    ...Apache Hudi is a transactional data lake platform that brings database and data warehouse capabilities to the data lake. Hudi reimagines slow old-school batch data processing with a powerful new incremental processing framework for low latency minute-level analytics. Hudi provides efficient upserts, by mapping a given hoodie key (record key + partition path) consistently to a file id, via an indexing mechanism. This mapping between record key and file group/file id, never changes once the first version of a record has been written to a file. In short, the mapped file group contains all versions of a group of records.
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  • 23
    TypeScript Express Starter

    TypeScript Express Starter

    Quick and Easy TypeScript Express Starter

    ...That's why we avoid supersets with starter packages that introduce TypeScript. The package is configured to use TypeScript instead of JavaScript. Express is a fast, open and concise web framework and is a Node.js based project. npx is a tool in the JavaScript package management module, npm. This is a tool that allows you to run the npm package on a single run without installing the package. If you do not enter a project name, it defaults to typescript-express-starter. TypeScript ORM for Node.js based on Data Mapper, Unit of Work and Identity Map patterns. ...
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  • 24
    MoreLINQ

    MoreLINQ

    Extensions to LINQ to Objects

    ...In some very rare instances, however, doing so can cause conflicts with other libraries you may be using that incidentally also extend the same type with an identically named method and signature. This happened with MoreLINQ, for example, when Microsoft .NET Framework 4.0 introduced Zip and MoreLINQ already had one. Starting with version 3.0 of MoreLINQ, you can reduce the potential for present (or even future) conflicts by individually importing just the extension methods you need using the static imports feature introduced in C# 6. Building the documentation is supported on Windows only and requires Sandcastle Help File Builder (SHFB). ...
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  • 25
    YARD

    YARD

    YARD is a Ruby Documentation tool. The Y stands for "Yay!"

    ...With this functionality, you almost have no excuse not to write documentation! You can write all kinds of extensions in YARD, including ones that can understand all of the dynamic magic your framework does in its own little Domain Specific Languages (DSLs). Most importantly, it's really easy to do! There are already plugins that support frameworks like RSpec, DataMapper, Sinatra, and support for others are in the works. YARD is the only Ruby documentation tool that supports storing metadata alongside your documentation. This metadata can be used to create consistent documentation in any format you wish. ...
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