Metaflow Alternatives
Metaflow is described as 'Human-friendly Python library that helps scientists and engineers build and manage real-life data science projects. Metaflow was originally developed at Netflix to boost productivity of data scientists who work on a wide variety of projects from classical' and is a workflow automation tool. There are more than 10 alternatives to Metaflow for a variety of platforms, including Linux, Mac, Self-Hosted, SaaS and Windows apps. The best Metaflow alternative is Kestra, which is both free and Open Source. Other great apps like Metaflow are Aqueduct MLOps framework, Apache Airflow, Zenaton and RunDeck.
- Workflow Automation Tool
- Free • Open Source
- 10 Kestra alternatives
Kestra is an infinitely scalable orchestration and scheduling platform, creating, running, scheduling, and monitoring millions of complex pipelines.
License model
- Free • Open Source
Platforms
- Mac
- Windows
- Linux
- Online
- Self-Hosted
Kestra Features
Aqueduct is an open-source MLOps framework that allows you to write code in vanilla Python, run that code on any cloud infrastructure you'd like to use, and gain visibility into the execution and performance of your models and predictions.
License model
- Free • Open Source
Country of Origin
United States
Platforms
- Mac
- Amazon Web Services
- Python
- Google Cloud Platform
Aqueduct MLOps framework Features
- 28 Apache Airflow alternatives
Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
License model
- Free • Open Source
Country of Origin
United States
Platforms
- Linux
Apache Airflow Features
Zenaton is a developer tool and hosted workflow engine for writing, running and monitoring all of your background processes whether it is a single task or a long running workflow. It allows developers to easily integrate third party services and APIs iby triggering tasks and...
License model
- Freemium • Proprietary
Application types
Country of Origin
United States
Platforms
- Clever Cloud
- Software as a Service (SaaS)
- Heroku
Zenaton Features
- 30 RunDeck alternatives
RunDeck is an open source automation service with a web console, command line tools and a WebAPI. It lets you easily run automation tasks across a set of nodes.
License model
- Free • Open Source
Application types
Country of Origin
United States
Platforms
- Linux
RunDeck Features
- 8 StackStorm alternatives
StackStorm is a powerful open-source automation platform that wires together all of your apps, services and workflows. It’s extendable, flexible, and built with love for DevOps and ChatOps.
StackStorm Features
- 11 Azkaban alternatives
Azkaban is a batch workflow job scheduler created at LinkedIn to run Hadoop jobs. Azkaban resolves the ordering through job dependencies and provides an easy to use web user interface to maintain and track your workflows.
License model
- Free • Open Source
Country of Origin
United States
Platforms
- Linux
Azkaban Features
Shipyard’s your go-to cloud-based DataOps platform for secure data extraction, transformation, reverse ETL, workflow orchestration, monitoring, alerting, and more.
License model
- Freemium • Proprietary
Application types
Country of Origin
United States
Platforms
- Online
- Software as a Service (SaaS)
License model
- Free • Open Source
Platforms
- Linux
- 5 Mage.ai alternatives
Mage.ai is an open-source data pipeline tool designed to simplify the process of building, running, and maintaining machine learning and data workflows. With an intuitive interface, it allows users to create powerful pipelines for ETL (Extract, Transform, Load) processes, data...
License model
- Free • Open Source
Country of Origin
United States
Platforms
- Self-Hosted
Mage.ai Features
Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
License model
- Free • Open Source
Country of Origin
Sweden
EU
Platforms
- Linux
The Valohai platform makes machine learning in production easy. Data scientists and machine learning engineers can work together to build end-to-end machine learning pipelines that take in data, train a model, and deploy to production automatically.
License model
- Paid • Proprietary
Platforms
- Software as a Service (SaaS)
Valohai Features