mypy
PyLint
flake8
PyFlakes
SonarQube
PyCharm
PyChecker
PEP8
Luigi
Apache Airflow
Metaflow
Azkaban
Activeeon
Jenkins
Helios
StackStorm
mypy LuigiBased on our record, mypy should be more popular than Luigi. It has been mentiond 48 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.
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 / 5 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 / 6 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: 11 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: 12 months ago
Mypy (https://mypy-lang.org/), the static type checker for python, so quite an important project in the python ecosystem. Source: about 1 year ago
I agree there are many options in this space. Two others to consider: - https://airflow.apache.org/ - https://github.com/spotify/luigi There are also many Kubernetes based options out there. For the specific use case you specified, you might even consider a plain old Makefile and incrond if you expect these all to run on a single host and be triggered by a new file... - Source: Hacker News / 7 months ago
Maybe if your use case is “smallish” and doesn’t require the whole studio suite you could check out apscheduler for doing python “tasks” on a schedule and luigi to build pipelines. Source: almost 2 years ago
What are you trying to do? Distributed scheduler with a single instance? No database? Are you sure you don't just mean "a scheduler" ala Luigi? https://github.com/spotify/luigi. - Source: Hacker News / almost 2 years ago
It's good to know what Airflow is not the only one on the market. There are Dagster and Spotify Luigi and others. But they have different pros and cons, be sure that you did a good investigation on the market to choose the best suitable tool for your tasks. - Source: dev.to / over 2 years ago
MLOps is a HUGE area to explore, and not surprisingly, there are many startups showing up in this space. If you want to get it on the latest trends, then I would look at workflow orchestration frameworks such as Metaflow (started off at Netflix, is now spinning off into its own enterprise business, https://metaflow.org/), Kubeflow (used at Google, https://www.kubeflow.org/), Airflow (used at Airbnb,... 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.
Metaflow - Framework for real-life data science; build, improve, and operate end-to-end workflows.
PyFlakes - A simple program which checks Python source files for errors.
Azkaban - Azkaban is a batch workflow job scheduler created at LinkedIn to run Hadoop jobs.
