Search Results for "plug-in"
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Showing 41 open source projects for "plug-in"
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1
miniaudio
Audio playback and capture library written in C,
...The modular design of miniaudio allows you to use the low-level API without compromising your ability to make use of other features like the node graph and resource manager. miniaudio's node graph system gives you an easy way to set up advanced mixing and effect graphs. Each node sends it's output to another node, and so on and so forth to produce all kinds of effects. You can even implement your own custom nodes and plug them in however you like. Plug multiple nodes into the same input node for mixing and use the splitter node for complex routing. -
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C# Algorithms
Plug-and-play class-library project of standard data structures
A plug-and-play class-library project of standard Data Structures and Algorithms, written in C#. It contains 75+ Data Structures and Algorithms, designed as Object-Oriented isolated components. Even though this project started for educational purposes, the implemented Data Structures and Algorithms are standard, efficient, stable and tested. -
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Pannellum
Pannellum is a lightweight, free, and open source panorama viewer
Pannellum is a lightweight, free, and open source panorama viewer for the web. Built using HTML5, CSS3, JavaScript, and WebGL, it is plug-in free. It can be deployed easily as a single file, just 21kB gzipped, and then embedded into pages as an <iframe>. A configuration utility is included to generate the required code for embedding. An API is included for more advanced integrations. -
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nuwa-skill
Mental models, decision heuristics, expressing DNA
...The project is designed to integrate with AI systems, enabling them to perform structured tasks such as data retrieval, processing, or interaction with external services. It emphasizes modularity and extensibility, allowing developers to create new skills and plug them into the system without disrupting existing functionality. Nuwa Skill also supports orchestration, enabling multiple skills to work together to accomplish more complex objectives. The architecture is typically designed for flexibility, making it suitable for applications in conversational AI, automation, or intelligent assistants. ... -
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5
XCharts
A charting and data visualization library for Unity
A charting and data visualization library for Unity. Unity data visualization chart plugin. A UGUIpowerful, easy-to-use, parameter-configurable data visualization chart plug-in. It supports ten built-in charts. A powerful, easy-to-use, configurable charting and data visualization library for Unity. Visual configuration of parameters, real-time preview of effects, and pure code drawing without additional resources. Support ten built-in charts such as line chart, column chart, pie chart, radar chart, scatter chart, heat map, ring chart, candlestick chart, polar coordinate, parallel coordinate and so on. ... -
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TwelveMonkeys
Additional plug-ins and extensions for Java's ImageIO
TwelveMonkeys ImageIO provides extended image file format support for the Java platform, through plugins for the javax.imageio. package. The main goal of this project is to provide support for formats not covered by the JRE itself. Support for these formats is important, to be able to read data found "in the wild", as well as to maintain access to data in legacy formats. As there is lots of legacy data out there, we see the need for open implementations of readers for popular formats. -
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Tesla
The flexible HTTP client library for Elixir
...It embraces the concept of middleware when processing the request/response cycle. Define module with use Tesla and choose from a variety of middleware. Tesla is built around the concept of composable middlewares. This is very similar to how Plug Router works. All HTTP functions, such as Tesla.get/3 and Tesla.post/4, can take a dynamic client as the first argument. This allows using convenient syntax for modifying the behavior in runtime. Tesla supports multiple HTTP adapter that do the actual HTTP request processing. Each piece of the stream will be encoded as JSON and sent as a new line (conforming to JSON stream format). ... -
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Anomalib
An anomaly detection library comprising state-of-the-art algorithms
...It provides implementations of leading anomaly detection methods drawn from current research, as well as a full set of utilities for training, evaluating, benchmarking, and deploying these models on both public and private datasets. Anomalib emphasizes flexibility and reproducibility: you can use its simple APIs to plug in custom models, track experiments, tune hyperparameters, and generate visualizations that highlight anomalous regions. Its design supports unsupervised or semi-supervised paradigms, making it especially powerful for scenarios where only “normal” data is readily available and defects must be detected without exhaustive labeling. ... -
9
Hello ImGui
Hello, Dear ImGui: unleash your creativity in app development
...It abstracts away boilerplate code for window creation, input handling, and platform integration, allowing developers to focus on building user interfaces and interactive content quickly. Targeted at prototyping, tools, and GUI apps, hello_imgui works on Windows, macOS, Linux, iOS, and WebAssembly with minimal setup. Its plug-and-play nature makes it ideal for teaching, demos, and productivity tools. -
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10
Glide
Android image loading & caching library focused on smooth scrolling
...It supports fetching, decoding and displaying images, video stills as well as animated GIFs, with a simple and easy to use interface and API. Glide offers a performant and extensible resource decoding pipeline and automatic resource pooling, and a flexible API that allows developers to plug in to just about any network stack. It is primarily focused on making any type of a list of images as smooth and fast as possible, and is able to achieve this through smart and automatic downsampling and caching, aggressive re-use of resources and deep lifecycle integration. Apart from smooth and speedy scrolling, it’s also good for any case where fetching, resizing, and displaying of a remote image is needed. -
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FairChem
FAIR Chemistry's library of machine learning methods for chemistry
...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. ... -
12
LiteBox
A security-focused library OS supporting kernel execution
...Instead of relying solely on broad OS-level permissions, it focuses on isolating workloads by tightly controlling the boundary where code interacts with host services and system resources. The design emphasizes interoperability across different integration layers, describing a separation between “North” shims (how apps or runtimes plug in) and “South” platforms (where the sandbox runs), which helps the system adapt to multiple deployment contexts. A key aspect of the project is that it targets both kernel-mode and user-mode scenarios, enabling experimentation with different trust and performance tradeoffs. The repository positions LiteBox as a foundation for building hardened execution environments where untrusted or semi-trusted components can run with reduced privileges and a minimized host interface. -
13
Job Recommend
The basics of building a job recommendation workflow
...You can study how to transform raw text into features and how to evaluate simple heuristics or baseline models. The code encourages experimentation, inviting you to swap scoring rules, adjust weights, or plug in alternative representations. It serves as a starting point for understanding recommendation pipelines before moving to production-grade systems. -
14
Cachex
A powerful caching library for Elixir with support for transactions
Cachex is a high-performance in-memory caching library for Elixir, offering a robust feature set including expirations, size limits, hooks, fallbacks, async operations, and clustering capabilities. The version 4.x release brought optimized janitor routines, modular streaming and querying, runtime cache warming, size pruning (LRW/LRU), distributed routing mechanisms, and a major documentation overhaul. It integrates seamlessly with Elixir applications via mix dependencies, supports advanced... -
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LLM Datasets
Curated list of datasets and tools for post-training
LLM Datasets curates and standardizes datasets commonly used to train and fine-tune large language models, reducing the overhead of hunting down sources and normalizing formats. The repository aims to make datasets easy to inspect and transform, with scripts for downloading, deduping, cleaning, and converting to formats like JSONL that slot into training pipelines. It highlights instruction-tuning and conversation-style corpora while also pointing to code, math, or domain-specific sets for... -
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Recursive Language Models
General plug-and-play inference library for Recursive Language Models
RLM (short for Reinforcement Learning Models) is a modular framework that makes it easier to build, train, evaluate, and deploy reinforcement learning (RL) agents across a wide range of environments and tasks. It provides a consistent API that abstracts away many of the repetitive engineering patterns in RL research and application work, letting developers focus on modeling, experimentation, and fine-tuning rather than infrastructure plumbing. Within the framework, you can define custom... -
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sebastian/diff
Diff implementation
...Internally, the library splits input into hunks and manages edge cases such as whitespace-only changes and end-of-line variations. Its abstractions make it straightforward to plug custom output styles or colorizers without reimplementing diff logic. Because it’s the diff engine under PHPUnit, it has been exercised across countless projects and edge cases. -
18
ChromeAppHeroes
Chinese manual for excellent Chrome plug-ins
ChromeAppHeroes appears to be a repository with sample or template Chrome apps/extensions — perhaps intended to help developers learn how to build Chrome applications, quick prototypes, or small utilities. As such, it likely includes boilerplate code, manifest definitions, example UI components, and sample functionality (e.g. browser-action buttons, content scripts, background scripts) to illustrate how to structure a Chrome app. For learners or developers new to Chrome extension/app... -
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CFI
Common Facilities Infrastructure
libcfi - A library of useful infrastructure components for C++ programs on the Linux platform. libcdi - A library for testing and tracing C++ programs. This code has a full test suite and has been used in several projects. It should be quite reliable. -
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NG Dynamic Forms
Rapid form development library for Angular
NG Dynamic Forms is a rapid form development library based on the official Angular dynamic forms guide. It fully automates form UI creation by introducing a set of maintainable form control models and dynamic form control components. Out-of-the-box support is provided for all popular UI libraries including Material, ngx-bootstrap, NG Bootstrap, Foundation, Ionic, Kendo, and PrimeNG. Explore the live sample and the API documentation! NG Dynamic Forms is built to provide solid yet unobtrusive... -
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Name-That-Hash
Identify MD5, SHA256 and 300+ other hashes
...The tool provides concise “hash summaries” that explain where a given hash format is commonly used, helping users decide how to proceed with cracking or further analysis. Name-That-Hash is accessible via a Python CLI (nth) and also exposes an API and JSON output, making it easy to plug into other tools or workflows, and there is also a web app that requires no local installation. -
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Fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python
...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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DataTables
Tables plug-in for jQuery
DataTables is a jQuery plugin that enhances HTML tables with powerful dynamic features such as searching, sorting, and pagination. It transforms plain static tables into interactive data explorers with minimal code changes. Developers can customize its behavior through an extensive API, adding export buttons, column visibility toggles, custom filters, and integration with remote data sources via Ajax. The plugin is modular, with a core that provides essentials and a wide range of extensions... -
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deeplinks.js
Simple deep links to any selection of text on your website
deeplinks.js allows people to easily link directly to any text selection on your website. Here's an example of what one of these links looks like. It's intended mostly for blogs and other such websites, but it's relatively agnostic to the environment it's running in. People can select text on the site as the normally would, and when they do, the fragment identifier (the thing that comes after the # in the URL) changes. If they want to share the text they have selected, they simply copy the... -
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SentEval
A python tool for evaluating the quality of sentence embeddings
...Datasets are wrapped with unified preprocessing and metrics so results are comparable across papers and implementations. Because the interface is minimal, researchers can plug in encoders from any framework or language model and obtain a broad evaluation with little glue code. SentEval helped establish common baselines and reporting conventions in the sentence-representation community, reducing friction when comparing new methods.
