pyscaffold VS python-blueprint

- pyscaffold

Scheduled Thread Pool Executor Scheduled Thread Pool Executor implementation in python Makes use of delayed queue implementation to submit tasks to the thread pool. Usage from scheduled_thread_pool_executor import ScheduledThreadPoolExecutor scheduled_executor = ScheduledThreadPoolExecutor(max_workers=5) scheduled_executor.schedule(task, 0) # equals to schedule once, where task is a callable scheduled_executor.schedule_at_fixed_rate(task, 0, 5) # schedule immediately and run periodically for every 5 secs scheduled_executor.schedule_at_fixed_delay(task, 5, 10) # schedule after 5secs (initial delay) and run periodically for every 10secs Note This project has been set up using PyScaffold 4.1.1. For details and usage information on PyScaffold see https://pyscaffold.org/.

Discussion, suggestions, questions: https://github.com/pyscaffold/pyscaffold/discussions

I used https://github.com/johnthagen/python-blueprint to build https://github.com/DaveCoDev/not-again-ai. It uses poetry to manage dependencies, sets up automatic linting, testing, and type checking with nox and gets it running with GitHub Actions. It is continually being updated and stays up to date modern Python tooling (ruff, nox, poetry, etc). Not sure why the comments are being so discouraging, but regardless if you are looking to publish a polished library, its super helpful to have these things setup for you.