Popular GitHub Repositories for Duckdb Wasm

A WebGL accelerated JavaScript library for training and deploying ML models.

Filament是一个实时物理渲染引擎，支持Android、iOS、Windows、Linux、macOS和WebGL2平台。

Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.

? Open-source GenBI AI Agent that empowers data-driven teams to chat with their data to generate Text-to-SQL, charts, spreadsheets, reports, and BI. ??????

Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..

Fast face detection, pupil/eyes localization and facial landmark points detection library in pure Go.

Spreadsheet with AI, Code, Connections

AICI: Prompts as (Wasm) Programs

Lightweight inference library for ONNX files, written in C++. It can run Stable Diffusion XL 1.0 on a RPI Zero 2 (or in 298MB of RAM) but also Mistral 7B on desktops and servers. ARM, x86, WASM, RISC-V supported. Accelerated by XNNPACK.

一款多语言的API，满足您所有可观测性需求。轻量、快速，可替代LGTM :rocket: 独立的OpenTelemetry、Loki、Prometheus、Tempo、Pyroscope兼容 :star:

High performance Rust stream processing engine seamlessly integrates AI capabilities, providing powerful real-time data processing and intelligent analysis.

WebAssembly binding for llama.cpp - Enabling on-browser LLM inference

一个快速、安全的MCP服务器，可以通过WebAssembly插件扩展其功能。

Data API Framework for AI Agents and Data Apps

A speech recognition library running in the browser thanks to a WebAssembly build of Vosk

Video and Image Processing and Computer Vision Library in pure JavaScript (Browser and Node.js)

Cross platform C++ library focusing on optimized machine translation on the consumer-grade device.

GigAPI：基于DuckDB的Parquet存储引擎和OLAP数据池

A lightweight MCP server for database search & querying.

Powerful Powerful Machine Learning library with GPU, CPU and WASM backends