Web implementation from Python using Epyk and FastAPI

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.
www.influxdata.com
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SaaSHub helps you find the best software and product alternatives
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  • epyk-ui

  • Really sorry about this. We put some documentation here: http://www.epyk.io/ using AWS but indeed it is outdated and not complete. This is part of our challenges for the coming week, we wanted to provide enough examples to our current users to play with components. There is quite a decent documentation in the code you can get from PyCharm but we are still fighting with Sphinx to get something nice. We do not know how to get recursive pages from the various modules (we started something here https://github.com/epykure/epyk-ui/tree/master/doc but at this stage we are still struggling I am afraid, any help would be welcome :)).

  • epyk-templates

  • _ fastapi_viewer.py: A simple interactive web page to display data from pandas_datareader. - fastapi_viewer_logs.py: An interactive web page to display log messages based on user inputs/filters - fastapi_webscraping.py: An example of report extracting data from a website to analyse the prices - fastapi_db.py : An App to display documentation and allow a versioning in a SqLite database.

  • 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
  • esparto

    Data driven report builder for the Python data ecosystem.

  • I've been working on a vaguely similar idea just for creating static HTML documents: https://github.com/domvwt/esparto

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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