Software Alternatives, Accelerators & Startups

Metaflow VS Cardapio

Compare Metaflow VS Cardapio and see what are their differences

Metaflow logo Metaflow

Framework for real-life data science; build, improve, and operate end-to-end workflows.

Cardapio logo Cardapio

Cardapio is an application menu that can work in two modes: as a panel applet (in which case it is...
  • Metaflow Landing page
    Landing page //
    2023-03-03
  • Cardapio Landing page
    Landing page //
    2023-10-15

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

Cardapio videos

Cardapio review

More videos:

Category Popularity

0-100% (relative to Metaflow and Cardapio)
Workflow Automation
100 100%
0% 0
Productivity
0 0%
100% 100
DevOps Tools
100 100%
0% 0
Content Creators
0 0%
100% 100

User comments

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Reviews

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

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

Cardapio Reviews

We have no reviews of Cardapio yet.
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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.

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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Cardapio mentions (0)

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

What are some alternatives?

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

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

Whisker menu - A menu that provides access to favorites, recently used, and searching installed applications.

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

GnoMenu - A consolidated menu for gnome that brings eye candy to the world of the Gnome menus.

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...

Streamlit - Turn python scripts into beautiful ML tools