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Model Serving & MLOps

A human‑centric Python framework that streamlines building, testing, and deploying AI/ML systems from notebooks to production at scale.

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Python Latest 2.19.35 · 1mo ago Security brief →

Features

  • Simple Pythonic API for rapid local prototyping and notebook integration
  • Built‑in experiment tracking, versioning, visualization, and dependency management
  • Seamless scaling to cloud CPUs/GPUs with reliable checkpointing and failure handling
  • One‑click deployment to production‑grade orchestrators with reactive event triggering

Recent releases

View all 71 releases →
No immediate action
2.19.35 New feature

OTEL_SERVICE_NAME tracing support

Open
No immediate action
2.19.34 Bug fix

Argo ordering + test refactor + card retries

Open
No immediate action
2.19.33 Bug fix

CLI and Argo fixes

Open
No immediate action
2.19.32 Bug fix

Cronjob schedule + timeout fixes

Open
Review required
2.19.31 Mixed
Dependencies

Security hardening, bugfixes, dependency bumps

Open

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About

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Forks
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Languages
Python R Svelte
View on GitHub Homepage Documentation

Install & Platforms

Install via
pip

Community & Support

Slack

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Beta — feedback welcome: [email protected]