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Shippable VS Metaflow

Compare Shippable VS Metaflow and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Shippable logo Shippable

Add continuous integration and deployment to your GitHub repositories in a few minutes.

Metaflow logo Metaflow

Framework for real-life data science; build, improve, and operate end-to-end workflows.
  • Shippable Landing page
    Landing page //
    2022-10-05
  • Metaflow Landing page
    Landing page //
    2023-03-03

Shippable videos

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

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Metaflow videos

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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 Shippable and Metaflow)

Shippable

Metaflow

Continuous Integration
100 100%
Continuous Integration
0% 0
DevOps Tools
68 68%
DevOps Tools
32% 32
Workflow Automation
0 0%
Workflow Automation
100% 100
Continuous Deployment
100 100%
Continuous Deployment
0% 0

User comments

Share your experience with using Shippable and Metaflow. For example, how are they different and which one is better?
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Reviews

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

Shippable Reviews

The Best Alternatives to Jenkins for Developers
Shippable, a cloud-based CI/CD platform, concentrates on delivering smooth team work for applications in containers. It provides strong backing for Docker which makes it an excellent pick for teams who are adopting workflows based on containers.
Source: morninglif.com
The Best Alternatives to Jenkins for Developers
Shippable provides an easy way to set up continuous integration and delivery for applications. It optimizes DevOps operations and provides ready-to-use build images. It provides analytics to help you improve. It also offers machine-level isolation to secure the workflows.
Source: www.lambdatest.com

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.

Shippable mentions (0)

We have not tracked any mentions of Shippable yet. Tracking of Shippable 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 Shippable and Metaflow, you can also consider the following products

Bitrise - Tens of thousands of agencies, startups and enterprise companies with mobile apps - including Runkeeper, Grindr, Duolingo and more - use Bitrise to automate their way to increased productivity & speed

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

CircleCI - CircleCI gives web developers powerful Continuous Integration and Deployment with easy setup and maintenance.

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

Jenkins - Jenkins is an open-source continuous integration server with 300+ plugins to support all kinds of software development

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

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