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. Juturna is perfect for experimentation and prototyping today, and we're working toward production-ready stability with each release. So, if you plan to deploy it in production, make sure you are comfortable managing potential updates and adjustments.

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.