Based on our record, mypy seems to be a lot more popular than Azkaban. While we know about 49 links to mypy, we've tracked only 3 mentions of Azkaban. 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’m not here to tell people which languages they should love. But if you do find yourself writing production code in a dynamically typed language like Python, Ruby, or JavaScript, I would give serious consideration to opting into the type-checking tools that have become available in those ecosystems. In Python, consider requiring type hints and adding mypy checks to your CI to move your type safety bugs forward... - Source: dev.to / 8 days ago
Mypy is "an optional static type checker for Python that aims to combine the benefits of dynamic (or "duck") typing and static typing". As Python is dynamically typed, Mypy adds an extra layer of safety by checking types at compile time (based on type annotations conforming to PEP 484), catching potential errors before runtime. - Source: dev.to / 6 months ago
Mypy stands as an essential static type-checking tool. Its primary function is to verify the correctness of types in your codebase. However, manually annotating types in legacy code can be laborious and time-consuming. - Source: dev.to / 7 months ago
Lua is a great language for embedding, but one thing I wish it had was some form of optional type annotations that could be checked by a linter. Something like mypy for Lua would be super-useful. Source: 12 months ago
Python is a dynamically typed language (unlike C or java which are statically typed) meaning that there's no enforcement on the type. This var ; type syntax is called Type Hints, and they are just that, merely hints. So they serve as a reminder to developers of what types of variables a function should receive and output, but they implement no real restrictions. So if you try to pass a string to collatz for... Source: about 1 year ago
Not sure if https://azkaban.github.io/ would fit your use case. Source: about 2 years ago
I used this once, was pretty nice: https://azkaban.github.io/. Source: about 2 years ago
Apache Azkaban is a batch workflow job scheduler to help developers run Hadoop jobs. The open-sourced platform “resolves ordering through job dependencies” and offers an intuitive web interface to help users maintain and track workflows. Source: about 2 years ago
PyLint - Pylint is a Python source code analyzer which looks for programming errors.
Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
flake8 - A wrapper around Python tools to check the style and quality of Python code.
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.
RunDeck - RunDeck is an open source automation service with a web console, command line tools and a WebAPI.