Metaflow
Apache Airflow
Luigi
DepHell
Activeeon
RunDeck
StackStorm
Azkaban
SonarQube
Codacy
CodeClimate
Checkmarx
Coverity Scan
Snyk
ESLint
ReSharper
SonarQube, a core component of the Sonar solution, is an open source, self-managed tool that systematically helps developers and organizations deliver Clean Code. SonarQube integrates into the developers' CI/CD pipeline and DevOps platform to detect and help fix issues in the code while performing continuous inspection of projects.
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Metaflow SonarQubeBased on our record, Metaflow seems to be a lot more popular than SonarQube. While we know about 12 links to Metaflow, we've tracked only 1 mention of SonarQube. 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.
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
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
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
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
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
Even for Java, C# and JS we do enforce such kind of rules, e.g. https://sonarqube.org. - Source: Hacker News / over 1 year ago
Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
Codacy - Automatically reviews code style, security, duplication, complexity, and coverage on every change while tracking code quality throughout your sprints.
Luigi - Luigi is a Python module that helps you build complex pipelines of batch jobs.
CodeClimate - Code Climate provides automated code review for your apps, letting you fix quality and security issues before they hit production. We check every commit, branch and pull request for changes in quality and potential vulnerabilities.
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...
Checkmarx - The industry’s most comprehensive AppSec platform, Checkmarx One is fast, accurate, and accelerates your business.
