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ClickHouse® is a real-time analytics database management system
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
The library for web and native user interfaces.
✯ 可直连访问的电视/广播图标库与相关工具项目 ✯ 🔕 永久免费 直连访问 完整开源 不断完善的台标 支持IPv4/IPv6双栈访问 🔕
A Python library for reading and writing PDF, powered by QPDF
Developer-first error tracking and performance monitoring
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Flet enables developers to easily build realtime web, mobile and desktop apps in Python. No frontend experience required.
Buzz transcribes and translates audio offline on your personal computer. Powered by OpenAI's Whisper.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Streamlit — A faster way to build and share data apps.
An Open Source Machine Learning Framework for Everyone
Hikyuu Quant Framework 基于C++/Python的极速开源量化交易研究框架,同时可基于策略部件进行资产重用,快速累积策略资产。
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
A high-throughput and memory-efficient inference and serving engine for LLMs
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Full stack, modern web application template. Using FastAPI, React, SQLModel, PostgreSQL, Docker, GitHub Actions, automatic HTTPS and more.
Library for building WebSocket servers and clients in Python
🌐 Make websites accessible for AI agents. Automate tasks online with ease.
A browser automation framework and ecosystem.
LLM agents built for control. Designed for real-world use. Deployed in minutes.
Fast and Lightweight Logs, Metrics and Traces processor for Linux, BSD, OSX and Windows
Production-ready platform for agentic workflow development.
High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios