Meetecho 开源实时 AI 流水线框架 Juturna
meetecho/juturna
Meetecho 推出 Python 数据流水线库 Juturna，面向多媒体与实时数据应用的快速原型开发及 AI 模型测试。它支持音频、视频和任意数据流的实时流式处理，采用模块化节点设计并可通过 Juturna hub 共享，提供并行非阻塞执行、批处理、内置日志与指标观测能力，以 MIT 许可证开源。
Juturna – Real-time AI Pipeline Framework
Important to know
Juturna is actively evolving with exciting new features and improvements being added regularly. We're using semantic versioning to clearly communicate any breaking changes between releases, so you can upgrade with confidence.
At a glance
Juturna is a data pipeline library written in Python. It is particularly useful for fast prototyping multimedia, real-time data applications, as well as exploring and testing AI models, in a modular and flexible fashion.
Among its many features, there are a few keypoints to highligh about Juturna:
- Real-Time Streaming: continuouusly process audio, video and arbitrary data streams
- Modularity: create your own nodes and share them through the Juturna hub
- Composable workloads: design pipelines to solve complex tasks in minutes
- Parallelism & Batching: parallel, non-blocking execution for high throughput
- Observability: built-in logging and metrics support
Documentation: https://meetecho.github.io/juturna/index.html
Contribute: https://github.com/meetecho/juturna/blob/main/CONTRIBUTING.md
Meetecho: https://www.meetecho.com/en/
Contributing
We are so glad you decided to contribute! We truly value your time and help in making Juturna better, and look forward to every single PR, whether you are fixing typos, proposing the next big feature, or extending the documentation.
To make sure we’re all on the same page and to get your changes merged as
quickly as possible, please take a peek at our
CONTRIBUTING.md
guide. It covers the essentials, including:
- branching & PR workflow
- code style & linting
- issue triage (TBD)
- issue & PR templates and a Code of Conduct are provided (TBD)
- signing CRA
If you are not sure where to start, feel free to open an issue to discuss your ideas first. We’re happy to help guide you through the process!
Changelog
All notable changes are documented in
CHANGELOG.md - we
follow Semantic Versioning, so you'll always know how
exactly updates affect your setup.
License
Distributed under the MIT License. See LICENSE for details.
来源：GitHub · github.com