Search Results for "lite"
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Showing 354 open source projects for "lite"
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1
ego (lite)
The fastest browser for AI agents to run web automation
Ego Lite is a macOS browser designed for people and external AI agents to work in parallel. Each agent receives an isolated Space, allowing several browser tasks to run simultaneously without taking over the user's active tabs. Optional Chrome data migration carries over logins, cookies, extensions, and bookmarks so agents can use authenticated sessions with less setup. -
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Lite XL
A lightweight text editor written in Lua
A lightweight, simple, fast, feature-filled, and extremely extensible text editor written in C, and Lua, adapted from lite. -
3
Chyrp Lite
An ultra-lightweight blogging engine, written in PHP
Chyrp Lite makes it possible to host a blog on your own web server with minimal fuss. You can have a traditional blog, a tumble blog, or you can add oodles of customization and build a general-purpose web publishing platform with blogging features on the side. You get four beautiful blog themes and a friendly administration console, all fully navigable on a broad range of devices, thanks to the power of responsive HTML5. -
4
Lerna-Lite
Subset of Lerna in a smaller & more modular project
Lerna Lite is a lightweight alternative to Lerna for managing JavaScript monorepos. It focuses on essential features such as package versioning, dependency linking, and package publishing while reducing the complexity of traditional Lerna setups. -
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5
DXcharts Lite
Flexible open source financial charting library
Why choose DXcharts Lite? - User-friendly interface. DXcharts Lite provides a seamless intuitive user experience with automatic scale zoom, mouse wheel zoom, and chart scrolling. - Versatile chart types. The Lite version supports eight chart types. The platform streams real-time data updates allowing users to stay on top of market movements. - Comprehensive market coverage. -
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TensorFlow Lite for Microcontrollers
Infrastructure to enable deployment of ML models
TensorFlow Lite for Microcontrollers is a TensorFlow Lite runtime designed for running machine learning models on tiny embedded devices. It targets microcontrollers, DSPs, and other resource-constrained hardware where memory, compute, and power are limited. The project enables on-device inference without depending on an operating system, standard C or C++ libraries, or dynamic memory allocation. -
7
Fluent Reader Lite
Simplistic mobile RSS client built with Flutter
A simplistic mobile RSS client. Fluent Reader Lite is a simplistic, cross-platform, and open-source RSS client. -
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Lite YouTube Embed
A faster youtube embed
Lite YouTube Embed is a lightweight custom element that replaces the standard YouTube iframe with a much faster placeholder until a user interacts with it. It is built for websites that need embedded YouTube videos without the heavy performance cost of loading the full player immediately. The component visually behaves like a normal YouTube embed, but it delays loading expensive iframe resources until playback is requested. -
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react-markdown-editor-lite
A light-weight Markdown editor based on React
A light-weight(20KB zipped) Markdown editor of React component. Supports TypeScript. Supports custom markdown parser. Full markdown support. Supports pluggable function bars. Full control over UI. Supports image uploading and dragging. Supports synced scrolling between editor and preview. -
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10
Couchbase Lite for iOS and MacOS
Lightweight, embedded, syncable NoSQL database engine for iOS and Mac
Lightweight, embedded, syncable NoSQL database engine for iOS and MacOS apps. Couchbase Lite is an embedded lightweight, document-oriented (NoSQL), syncable database engine. Couchbase Lite implementation is on top of Couchbase Lite Core, which is also a new cross-platform implementation of database CRUD and query features, as well as document versioning. You can use Carthage to install CouchbaseLite by adding it in your Cartfile. -
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NanoKVM
Affordable, Multifunctional, Nano RISC-V IP-KVM
Lichee NanoKVM is an IP-KVM product based on LicheeRV Nano, inheriting the extreme size and powerful features of LicheeRV Nano. The Lichee NanoKVM is available in two versions: NanoKVM Lite is a basic configuration that is suitable for individual users with certain DIY capabilities and enterprise users with bulk requirements. The NanoKVM Full is a full version with a sophisticated case and complete accessories, as well as a built-in system mirror card that is ready to use at boot, and is recommended for individual users. -
12
Netron
Visualizer for neural network, deep learning, machine learning models
Netron is a viewer for neural network, deep learning and machine learning models. Netron supports ONNX, Keras, TensorFlow Lite, Caffe, Darknet, Core ML, MNN, MXNet, ncnn, PaddlePaddle, Caffe2, Barracuda, Tengine, TNN, RKNN, MindSpore Lite, and UFF. Netron has experimental support for TensorFlow, PyTorch, TorchScript, OpenVINO, Torch, Arm NN, BigDL, Chainer, CNTK, Deeplearning4j, MediaPipe, ML.NET, scikit-learn, TensorFlow.js. There is an extense variety of sample model files to download or open using the browser version. ... -
13
react-native-fast-tflite
High-performance TensorFlow Lite library for React Native
react-native-fast-tflite is a high-performance TensorFlow Lite library for React Native applications. It is built with Nitro Modules and uses the low-level C and C++ TensorFlow Lite core API for direct memory access. The library supports zero-copy ArrayBuffers, which helps reduce overhead when passing model inputs and outputs through React Native. It can load and swap TensorFlow Lite models at runtime, making it useful for apps that run multiple machine learning tasks. ... -
14
cbl-dart
Couchbase Lite for Dart and Flutter
CBL-Dart is a Dart wrapper for Couchbase Lite, allowing Flutter and Dart applications to integrate with Couchbase’s NoSQL database. It enables offline data storage, synchronization, and efficient querying for mobile and embedded applications. -
15
Homebridge Raspberry Pi Image
Homebridge Raspberry Pi Image based on Raspberry Pi OS Lite
This project provides a free Raspbian-based Raspberry Pi image with Homebridge and Homebridge Config UI X pre-installed. This image also provides a command called hb-config which helps you keep Node.js up-to-date, perform maintenance on your Homebridge server, and install additional optional software such as Pi Hole and deCONZ. The Homebridge service is installed using the method described in the Raspberry Pi Installation Guide on the Homebridge project wiki. The easiest way to flash the... -
16
Model Explorer
A modern model graph visualizer and debugger
Model Explorer is a visual tool for exploring, debugging, and optimizing ML models deployed on edge devices. Developed by Google AI Edge, it offers a browser-based interface to inspect layer-wise performance, memory usage, and inference timing of TensorFlow Lite and other supported models. It’s a powerful utility for developers optimizing models for constrained environments. -
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JupyterLab
JupyterLab computational environment
...JupyterLab also offers a unified model for viewing and handling data formats. JupyterLab understands many file formats (images, CSV, JSON, Markdown, PDF, Vega, Vega-Lite, etc.) and can also display rich kernel output in these formats. See File and Output Formats for more information. To navigate the user interface, JupyterLab offers customizable keyboard shortcuts and the ability to use key maps from vim, emacs, and Sublime Text in the text editor. -
18
Flint Chart
Visualization language that lets AI agents create expressive charts
...It lets agents and humans write compact, editable chart specifications without manually tuning every axis, label, scale, legend, or layout setting. The compiler uses data, semantic types, chart type, and encodings to derive polished chart settings automatically. One Flint input can compile into native Vega-Lite, ECharts, or Chart.js specifications. The repository includes a TypeScript library, an MCP server, a demo site, documentation, test data, and an early Python port. It is especially useful for AI agents that need to create reliable visualizations from structured data during analysis or reporting workflows. -
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LiteNetLib 1.0 indev
Lite reliable UDP library for Mono and .NET
Lite reliable UDP library for .NET Framework 3.5, Mono, .NET Core 2.0, .NET Standard 2.0. Small packet size overhead (1 byte for unreliable, 3 bytes for reliable packets). Helper classes for sending and reading messages. Always use library sources instead of precompiled DLL files (because there are platform-specific #ifdefs and workarounds for unity bugs). -
20
Google AI Edge Gallery
A gallery that showcases on-device ML/GenAI use cases
Gallery is a curated collection of on-device machine learning examples, demo apps, and model artifacts designed to help developers experiment with and deploy ML at the edge. The project bundles runnable samples that show how to run TensorFlow Lite/Edge TPU models (and similar lightweight runtimes) on mobile and embedded platforms, demonstrating common tasks like image classification, object detection, audio recognition, and pose estimation. Each sample is intended to be both a learning aid and a practical starting point: code is organized to show model loading, pre/post-processing, performance measurement, and common optimization knobs (quantization, NNAPI/Delegate usage, and hardware accelerators). ... -
21
Mojolicious (Mojo)
Perl real-time web framework
...It features a fast non-blocking I/O loop, a built-in HTTP/1.1 and WebSocket server, and first-class support for JSON, templates, and routing. Developers can start small with Mojolicious::Lite, a concise DSL for single-file apps, then grow into a full MVC structure with controllers, plugins, and reusable components. The framework emphasizes developer ergonomics: hot-reloading dev server, powerful testing tools, and a consistent Mojo:: ecosystem for clients, servers, and utilities. Production deployment is first-class too, with the Hypnotoad server offering preforking and zero-downtime restarts. ... -
22
LiteRT
LiteRT, successor to TensorFlow Lite
LiteRT is Google's next-generation on-device machine learning framework and the successor to TensorFlow Lite, designed for high-performance AI and generative AI deployment across edge devices. It provides efficient model conversion, optimization, and runtime execution while leveraging hardware acceleration from CPUs, GPUs, and NPUs. LiteRT supports a wide range of platforms, including Android, iOS, Linux, macOS, Windows, web environments, and IoT devices. -
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XNNPACK
High-efficiency floating-point neural network inference operators
...Rather than serving as a standalone ML framework, XNNPACK provides high-performance computational primitives—such as convolutions, pooling, activation functions, and arithmetic operations—that are integrated into higher-level frameworks like TensorFlow Lite, PyTorch Mobile, ONNX Runtime, TensorFlow.js, and MediaPipe. The library is written in C/C++ and designed for maximum portability, efficiency, and performance, leveraging platform-specific instruction sets (e.g., NEON, AVX, SIMD) for optimized execution. It supports NHWC tensor layouts and allows flexible striding along the channel dimension to efficiently handle channel-split and concatenation operations without additional cost. -
24
Ling
Ling is a MoE LLM provided and open-sourced by InclusionAI
Ling is a Mixture-of-Experts (MoE) large language model (LLM) provided and open-sourced by inclusionAI. The project offers different sizes (Ling-lite, Ling-plus) and emphasizes flexibility and efficiency: being able to scale, adapt expert activation, and perform across a range of natural language/reasoning tasks. Example scripts, inference pipelines, and documentation. The codebase includes inference, examples, models, documentation, and model download infrastructure. As more developers and researchers engage with the platform, we can expect rapid advancements and improvements, leading to even more sophisticated applications. ... -
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ElasticJob
Distributed scheduled job framework
ElasticJob is a distributed scheduling solution consisting of two separate projects, ElasticJob-Lite and ElasticJob-Cloud. ElasticJob-Lite is a lightweight, decentralized solution that provides distributed task sharding services. ElasticJob-Cloud uses Mesos to manage and isolate resources. It uses a unified job API for each project. Developers only need code one time and can deploy at will. Support job sharding and high availability in distributed system.
