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TurboAPI FastAPI-compatible Python framework. Zig HTTP core. Faster on HTTP-only and uncached HTTP+DB workloads. Drop-in replacement · Zig-native validation · Zero-copy responses · Free-threading · dhi models Status · Quick Start · Benchmarks · Architecture · Migrate · Why Python? · Observability · Contributing · Security Status Alpha software — read before using in production TurboAPI works and has 380+ passing tests, but: No native TLS / HTTP/2 / HTTP/3 / QUIC — put Caddy with Let's Encrypt, nginx, cloudflared, Cloudflare, or another edge proxy in front for HTTPS and modern protocols Basic slow-loris protection exists via a 30s read timeout, but production deployments should still use a r…
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Seamlessly integrate marimo notebooks into JupyterLab and JupyterHub marimo-jupyter-extension brings the power of marimo reactive notebooks to your existing Jupyter infrastructure. Launch marimo directly from JupyterLab's launcher, manage running sessions, and convert Jupyter notebooks to marimo format. Highlights 🚀 Launcher Integration - marimo appears in the JupyterLab launcher with its own icon 🍃 First-Class Marimo Notebook Support - Double-click mo.py files to open directly in marimo 📊 Sidebar Panel - Monitor server status, view running sessions, and quick actions 🐍 Venv Selection - Choose Python environment when creating new notebooks (with PEP 723 metadata) 📁 Context Menus - Right-cli…
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kimodo.cpp GGML/C++ implementation of NVIDIA's Kimodo text-to-motion model. Status Kimodo-SMPLX-RP-v1 accepts either a UTF-8 prompt or a precomputed LLM2Vec embedding and generates unconstrained SMPL-X22 local rotations and root translations on CPU or Vulkan. The text encoder uses eight-layer Vulkan chunks by default; set KIMODOTEXTLAYERCHUNK=1..32 to tune VRAM use. Included: checked GGUF loading, safetensors conversion, DDIM sampling, C/C++ APIs, CPU/Vulkan parity tests, and a local text-to-motion demo. Constraints, SOMA, G1, GLB export, and quantised models are not implemented yet. Build and test on Linux Install a C++23 compiler, CMake 3.25+, Ninja, Python 3 with the Hugging Face CLI (pi…
README该平台可帮助开发者快速构建适用于多种聊天应用的多功能智能机器人,支持Agent、知识库编排及插件系统,能满足不同场景下的自动化沟通需求。
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生产级多平台智能机器人开发平台
该平台可帮助开发者快速构建适用于多种聊天应用的多功能智能机器人,支持Agent、知识库编排及插件系统,能满足不同场景下的自动化沟通需求。
- Python编程能力
- 学习平台的技术架构与功能模块
- 尝试基于平台开发简单的智能机器人示例