Conventions for Python + Apache Beam
Project description
The klio Library
The library for implementing Klio-ified Apache Beam transforms with decorators, helper transforms, and leverage Klio’s message-handling logic.
As the klio library is not meant to be installed directly, check out the installation guide for how to setup installation. There is also the user guide and the API documentation for more information.
What is Klio?
Klio is an ecosystem that allows you to process audio files – or any binary files – easily and at scale.
Klio jobs are opinionated data pipelines in Python (streaming or batch) built upon Apache Beam and tuned for audio and binary file processing.
Klio was built by Spotify to run our large-scale audio intelligence systems and is used by teams of engineers and audio researchers to help develop and deploy next generation audio algorithms.
Read more about Klio here.
Get Started
Check out our Quick Start guide on how to start using Klio.
Resources
Have a look at our complete documentation.
Check out our contributors’ guide.
Join the #klio channel in the Spotify FOSS Slack organization.
Read up on some of our FAQs.
Review our Code of Conduct - this is how we roll.
Release Information
21.4.0rc1 (UNRELEASED)
Added
Add default metrics to be collected in Klio’s IO transforms.
Add default metrics to be collected in Klio’s helper transforms.
Add default metrics to be collected in Klio’s decorators.
Add KlioReadFromPubSub and KlioWriteToPubSub IO transforms.
Fixed
KlioTriggerUpstream no longer raises a pickling error when trying to log.
Release history Release notifications | RSS feed
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