How to generate visual, interactive maps of your Django or Flask app

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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  • appmap-python

    AppMap client agent for Python

  • appmap is the AppMap client for Python. In this tutorial, I will show you how to install and configure the appmap package to visually map a Django project; AppMap works with Flask also.

  • chipy.org

    Chicago Python (ChiPy) user group main website codebase

  • For this tutorial, I will use the open source application chipy.org, the website of the Chicago Python User's Group, which is built on Django. At the completion of this tutorial, you'll have interactive visual maps of chipy.org. For example, here's a dependency map:

  • 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
  • vscode-appland

    AppLand extension for VSCode

  • Additional information about AppMaps and their benefits can be found in the AppMap for Visual Studio Code online documentation

  • Visual Studio Code

    Visual Studio Code

  • Install the official build of Visual Studio Code - visit the Visual Studio Code site

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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