What stack or tools are you using for ensuring code quality and best practices in medium and large codebases ?

This page summarizes the projects mentioned and recommended in the original post on /r/Python

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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  • dude

    dude uncomplicated data extraction: A simple framework for writing web scrapers using Python decorators

  • But for documentation, I use mkdocs-material as it can easily be used with minor customization and changes can be easily deployed in Github: https://roniemartinez.github.io/dude/

  • memray

    Memray is a memory profiler for Python

  • great suggestions in this thread. i also recommend performance testing your codebase. these include techniques such as: - creating micro performance benchmarks - using [cProfile] (and learning how to plot / read flame graphs) - memory profiling (e.g. via memray)

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
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