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Mlops Workflow Python Packages

Python packages with the GitHub topic mlops-workflow. Sorted by relevance, with stars and monthly downloads.
mlrun
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.

51K 2K 303
tensorchord
envd

🏕️ Reproducible development environment for humans and agents

38K 2K 167
astronomer
astro-provider-ray

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

36K 25 6
mlrun
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.

36K 2K 303
mlrun
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.

36K 2K 303
aarnphm
whispercpp

Pybind11 bindings for Whisper.cpp

14K 345 68
NimbleBoxAI
nbox

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

10K 87 13
mlrun
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.

2K 2K 303
axiomchronicles
aquilia

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

1K 7 5
TianpeiLuke
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.

1K 3 0
theNewFlesh
hidebound

A MLOps framework for generating ML assets and metadata.

1K 3 1
flyingriverhorse
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.

1K 42 4
LoopMind-AI
loopquest

A Production Tool for Embodied AI

933 29 1
petterjuan
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.

891 19 5
bentoml
bentoctl

Fast model deployment on any cloud 🚀

649 175 30
NimbleBoxAI
dainik

Client library for working with NimbleBox LMAO

422 87 13
Propheto-io
propheto

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

394 3 1
MiXaiLL76
sinarax

TUI for sinaraml cli

315 1 0
mlrun
mlrun-pipelines-kfp-v1-8-experiment

MLRun Pipelines package for providing KFP 1.8 compatibility

271 2K 303
Ayushmishra05
adamops

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

258 1 2
mlrun
mlrun-pipelines-kfp-common-experiment

MLRun Pipelines package for providing KFP 1.8 compatibility

217 2K 303
mlrun
mlrun-pipelines-kfp-v2-experiment

MLRun Pipelines package for providing KFP 2.* compatibility

165 2K 303
NimbleBoxAI
nimblebox

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

118 87 13
TianpeiLuke
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.

104 3 0
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