Software Alternatives, Accelerators & Startups

Helios VS Metaflow

Compare Helios VS Metaflow and see what are their differences

Helios logo Helios

Docker container orchestration platform, by Spotify

Metaflow logo Metaflow

Framework for real-life data science; build, improve, and operate end-to-end workflows.
  • Helios Landing page
    Landing page //
    2023-08-05
  • Metaflow Landing page
    Landing page //
    2023-03-03

Helios videos

[REVIEW] Nerf Rival Helios XVIII-700 | APOLLO RESKIN?!

More videos:

  • Review - Glorious Helios Review! The Best Hard Mouse Pad?
  • Review - The Ultimate Fanboy Case? ASUS ROG Strix Helios Review

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 Helios and Metaflow)
Developer Tools
100 100%
0% 0
Workflow Automation
0 0%
100% 100
DevOps Tools
55 55%
45% 45
Containers As A Service
100 100%
0% 0

User comments

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Reviews

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

Helios Reviews

Kubernetes Alternatives 2023: Top 8 Container Orchestration Tools
Helios is a Kubernetes alternative for container orchestration. It is a platform by Spotify that helps to orchestrate and distribute Docker containers across multiple distributed servers. The pragmatic nature of Helios and its CI/CD pipelines functionality makes it a popular choice for developers.

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.

Helios mentions (0)

We have not tracked any mentions of Helios yet. Tracking of Helios 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: about 1 year 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: over 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 / almost 2 years ago
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What are some alternatives?

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

Kubernetes - Kubernetes is an open source orchestration system for Docker containers

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

Google Kubernetes Engine - Google Kubernetes Engine is a powerful cluster manager and orchestration system for running your Docker containers. Set up a cluster in minutes.

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

Apache Mesos - Apache Mesos abstracts resources away from machines, enabling fault-tolerant and elastic distributed systems to easily be built and run effectively.

DepHell - :package: :fire: Python project management. Manage packages: convert between formats, lock, install, resolve, isolate, test, build graph, show outdated, audit. Manage venvs, build package, bump ver...