Software Alternatives & Reviews

Activeeon VS Metaflow

Compare Activeeon VS Metaflow and see what are their differences

Activeeon logo Activeeon

ProActive Workflows & Scheduling is a java-based cross-platform workflow scheduler and resource manager that is able to run workflow tasks in multiple languages and multiple environments: Windows, Linux, Mac, Unix, etc.

Metaflow logo Metaflow

Framework for real-life data science; build, improve, and operate end-to-end workflows.
  • Activeeon Landing page
    Landing page //
    2022-08-19
  • Metaflow Landing page
    Landing page //
    2023-03-03

Activeeon

Categories
  • Workflow Automation
  • DevOps Tools
  • Workflows
Website activeeon.com
Details $-

Metaflow

Categories
  • Workflow Automation
  • DevOps Tools
  • Workflows
  • Automation
Website metaflow.org
Details $

Activeeon videos

No Activeeon videos yet. You could help us improve this page by suggesting one.

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Metaflow videos

useR! 2020: End-to-end machine learning with Metaflow (S. Goyal, B. Galvin, J. Ge), tutorial

More videos:

  • Review - Screencast: Metaflow Sandbox Example

Category Popularity

0-100% (relative to Activeeon and Metaflow)
DevOps Tools
36 36%
64% 64
Workflow Automation
33 33%
67% 67
Containers As A Service
100 100%
0% 0
Workflows
23 23%
77% 77

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Activeeon and Metaflow

Activeeon Reviews

9 Control-M Alternatives & Competitors In 2023
Activeeon provides user interfaces to create workflows, manage job queues, schedule work, and administer the infrastructure. It gives you a single point for control over your IT and business processes. It includes error management, notification, file handling, connectors, docker support and file handling. It can automate and schedule workloads of any size.

Metaflow Reviews

Comparison of Python pipeline packages: Airflow, Luigi, Gokart, Metaflow, Kedro, PipelineX
Metaflow enables you to define your pipeline as a child class of FlowSpec that includes class methods with step decorators in Python code.
Source: medium.com

Social recommendations and mentions

Based on our record, Metaflow seems to be more popular. It has been mentiond 12 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Activeeon mentions (0)

We have not tracked any mentions of Activeeon yet. Tracking of Activeeon recommendations started around Mar 2021.

Metaflow mentions (12)

  • What are some open-source ML pipeline managers that are easy to use?
    I would recommend the following: - https://www.mage.ai/ - https://dagster.io/ - https://www.prefect.io/ - https://metaflow.org/ - https://zenml.io/home. Source: 12 months ago
  • Needs advice for choosing tools for my team. We use AWS.
    1) I've been looking into [Metaflow](https://metaflow.org/), which connects nicely to AWS, does a lot of heavy lifting for you, including scheduling. Source: about 1 year ago
  • Selfhosted chatGPT with local contente
    Even for people who don't have an ML background there's now a lot of very fully-featured model deployment environments that allow self-hosting (kubeflow has a good self-hosting option, as do mlflow and metaflow), handle most of the complicated stuff involved in just deploying an individual model, and work pretty well off the shelf. Source: about 1 year ago
  • [OC] Gender diversity in Tech companies
    They had to figure out video compression that worked at the volume that they wanted to deliver. They had to build and maintain their own CDN to be able to have a always available and consistent viewing experience. Don’t even get me started on the resiliency tools like hystrix that they were kind enough to open source. I mean, they have their own fucking data science framework and they’re looking into using neural... Source: over 1 year ago
  • Going to Production with Github Actions, Metaflow and AWS SageMaker
    Github Actions, Metaflow and AWS SageMaker are awesome technologies by themselves however they are seldom used together in the same sentence, even less so in the same Machine Learning project. - Source: dev.to / over 1 year ago
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What are some alternatives?

When comparing Activeeon and Metaflow, you can also consider the following products

Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.

Luigi - Luigi is a Python module that helps you build complex pipelines of batch jobs.

Kazuhm - Manage your containerized workloads through Kazuhm's easy to use distributed computing technology. Kazuhm saves cloud costs, improves security and latency.

Azkaban - Azkaban is a batch workflow job scheduler created at LinkedIn to run Hadoop jobs.

Mesosphere DCOS - Mesosphere DCOS organizes your entire infrastructure as if it was a single computer.

Apache Oozie - Apache Oozie Workflow Scheduler for Hadoop