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About

We commoditize production-ready Machine Learning. ZenML, the star MAIOT product, is an extensible, open-source MLOps framework to create reproducible Machine Learning pipelines. ZenML pipelines are built to take experiments from data versioning to a deployed model. The core design is centered around extensible interfaces to accommodate complex pipeline scenarios, while providing a batteries-included, straightforward “happy path” to achieve success in common use-cases without unnecessary boiler-plate code. We want to enable Data Scientists to focus on use-cases, goals and, ultimately, workflows for Machine Learning, not the underlying technologies. As the Machine Learning landscape is evolving fast, in both Software and Hardware, it is our objective to decouple reproducible workflows to productionize Machine Learning from the required tooling, to make the adoption of new technologies as easy as possible.

About

MLflow is an open source platform to manage the ML lifecycle, including experimentation, reproducibility, deployment, and a central model registry. MLflow currently offers four components. Record and query experiments: code, data, config, and results. Package data science code in a format to reproduce runs on any platform. Deploy machine learning models in diverse serving environments. Store, annotate, discover, and manage models in a central repository. The MLflow Tracking component is an API and UI for logging parameters, code versions, metrics, and output files when running your machine learning code and for later visualizing the results. MLflow Tracking lets you log and query experiments using Python, REST, R API, and Java API APIs. An MLflow Project is a format for packaging data science code in a reusable and reproducible way, based primarily on conventions. In addition, the Projects component includes an API and command-line tools for running projects.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Data scientists searching for a software solution to create reproducible machine learning pipelines

Audience

Companies looking for an open source platform solution for the machine learning lifecycle

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

MAIOT
Founded: 2021
Germany
www.maiot.io

Company Information

MLflow
Founded: 2018
United States
mlflow.org

Alternatives

Alternatives

Union Cloud

Union Cloud

Union.ai
DVC

DVC

iterative.ai
Datrics

Datrics

Datrics.ai
DVC

DVC

iterative.ai

Categories

Categories

Integrations

Amazon SageMaker
Apache Spark
Apolo
Aporia
Axolotl
Azure Data Science Virtual Machines
Cranium
CrateDB
Dagster
Databricks
Determined AI
Docker
IBM watsonx.data integration
LLaMA-Factory
LiteLLM
Modulos AI Governance Platform
Ray
UbiOps
Vectice
conDati

Integrations

Amazon SageMaker
Apache Spark
Apolo
Aporia
Axolotl
Azure Data Science Virtual Machines
Cranium
CrateDB
Dagster
Databricks
Determined AI
Docker
IBM watsonx.data integration
LLaMA-Factory
LiteLLM
Modulos AI Governance Platform
Ray
UbiOps
Vectice
conDati
Claim MAIOT and update features and information
Claim MAIOT and update features and information
Claim MLflow and update features and information
Claim MLflow and update features and information