Software Alternatives, Accelerators & Startups

Metaflow VS flake8

Compare Metaflow VS flake8 and see what are their differences

Metaflow logo Metaflow

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

flake8 logo flake8

A wrapper around Python tools to check the style and quality of Python code.
  • Metaflow Landing page
    Landing page //
    2023-03-03
  • flake8 Landing page
    Landing page //
    2022-12-20

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

flake8 videos

Linters and fixers: never worry about code formatting again (Vim + Ale + Flake8 & Black for Python)

More videos:

  • Review - flake8 на максималках: что, как и зачем / Илья Лебедев

Category Popularity

0-100% (relative to Metaflow and flake8)
Workflow Automation
100 100%
0% 0
Code Coverage
0 0%
100% 100
DevOps Tools
100 100%
0% 0
Code Analysis
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 flake8

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

flake8 Reviews

We have no reviews of flake8 yet.
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Social recommendations and mentions

Based on our record, Metaflow should be more popular than flake8. 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: 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 / almost 2 years ago
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flake8 mentions (5)

  • How I start every new Python backend API project
    Repos: - repo: https://github.com/pre-commit/pre-commit-hooks rev: v4.3.0 hooks: - id: trailing-whitespace - id: check-merge-conflict - id: check-yaml args: [--unsafe] - id: check-json - id: detect-private-key - id: end-of-file-fixer - repo: https://github.com/timothycrosley/isort rev: 5.10.1 hooks: - id: isort - repo:... - Source: dev.to / over 1 year ago
  • Flake8 took down the gitlab repository in favor of github
    I just ran `pre-commit autoupdate`. It's asking for a username for https://gitlab.com/pycqa/flake8. :-(. Source: over 1 year ago
  • flake8-length: Flake8 plugin for a smart line length validation.
    Flake8 plugin for a smart line length validation. Source: over 1 year ago
  • Make your Django project newbie contributor friendly with pre-commit
    $ pre-commit install Pre-commit installed at .git/hooks/pre-commit $ git add .pre-commit-config.yaml $ git commit -m "Add pre-commit config" [INFO] Initializing environment for https://github.com/pre-commit/pre-commit-hooks. [INFO] Initializing environment for https://gitlab.com/pycqa/flake8. [INFO] Initializing environment for https://github.com/pycqa/isort. [INFO] Initializing environment for... - Source: dev.to / almost 3 years ago
  • On unit testing
    If you're looking for just good automated error checking, I personally use a bunch of flake8 plugins via pre-commit hooks: flake8-bugbear, flake8-builtins, flake8-bandit, etc. You can find a bunch of sites that give recommended plugins and you just need to pick which ones you care about :). Source: about 3 years ago

What are some alternatives?

When comparing Metaflow and flake8, you can also consider the following products

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

PyLint - Pylint is a Python source code analyzer which looks for programming errors.

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

PyFlakes - A simple program which checks Python source files for errors.

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...

PEP8 - pep8 is a tool to check your Python code against some of the style conventions in PEP 8.