Mlops Workflow Python Packages

mlrun

MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.

envd

🏕️ Reproducible development environment for humans and agents

astro-provider-ray

This provider contains operators, decorators and triggers to send a ray job from an airflow task

mlrun-pipelines-kfp-common

MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.

mlrun-pipelines-kfp-v1-8

MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.

whispercpp

Pybind11 bindings for Whisper.cpp

nbox

The official python package for NimbleBox. Exposes all APIs as CLIs and contains modules to make ML 🌸

mlrun-pipelines-kfp-v2

MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.

aquilia

The speed of a microframework. The reliability of an enterprise engine.

cursus

Cursus is an intelligent pipeline generation system that automatically creates complete SageMaker pipelines from user-provided pipeline graphs. Simply define your ML workflow as a graph structure, and Cursus handles all the complex SageMaker implementation details, dependency resolution, and configuration management automatically.

hidebound

A MLOps framework for generating ML assets and metadata.

skyulf-core

Build and ship production ML pipelines faster: a pipeline library with an optional self-hosted visual layer for modular, reproducible workflows, local testing, and experiment tracking.

loopquest

A Production Tool for Embodied AI

agentic-reliability-framework

ARF is an agentic reliability intelligence platform that separates decision intelligence (OSS) from governed execution (Enterprise), enabling autonomous operations with deterministic safety guarantees.

bentoctl

Fast model deployment on any cloud 🚀

dainik

Client library for working with NimbleBox LMAO

propheto

Main python package for deploying and managing machine learning models in production

sinarax

TUI for sinaraml cli

mlrun-pipelines-kfp-v1-8-experiment

MLRun Pipelines package for providing KFP 1.8 compatibility

adamops

ADAMOPS is an end to end MLOPS framework, it supports quick development, quick testing, and quick prototyping of AI Models

mlrun-pipelines-kfp-common-experiment

MLRun Pipelines package for providing KFP 1.8 compatibility

mlrun-pipelines-kfp-v2-experiment

MLRun Pipelines package for providing KFP 2.* compatibility

nimblebox

The official python package for NimbleBox. Exposes all APIs as CLIs and contains modules to make ML 🌸

sm-dag-compiler

Cursus is an intelligent pipeline generation system that automatically creates complete SageMaker pipelines from user-provided pipeline graphs. Simply define your ML workflow as a graph structure, and Cursus handles all the complex SageMaker implementation details, dependency resolution, and configuration management automatically.