[PR #1805] [CLOSED] Added pyreports #1568

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GiteaMirror · 2025-11-06T13:18:51-06:00

GiteaMirror commented

2025-11-06 13:18:51 -06:00

📋 Pull Request Information

Original PR: https://github.com/vinta/awesome-python/pull/1805
Author: @MatteoGuadrini
Created: 9/12/2021
Status: ❌ Closed

Base: master ← Head: master

📄 Description

What is this Python project?

pyreports is a python library that allows you to create complex reports from various sources such as databases, text files, ldap, etc. and perform processing, filters, counters, etc. and then export or write them in various formats or in databases.

You can use this library for complex reports, or to simply filter data into datasets divided by topic. Furthermore, it is possible to export in various formats, such as csv, excel files or write directly to the database (mysql, mssql, postgresql and more).

What's the difference between this Python project and similar ones?

Capture any type of data
Export data in many formats
Data analysis
Process data with filters and maps
Some functions will help you to process averages, percentages and much more

Docs: https://pyreports.readthedocs.io/en/latest/
Site: https://matteoguadrini.github.io/pyreports/

Anyone who agrees with this pull request could submit an Approve review to it.

_{🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.}

## 📋 Pull Request Information **Original PR:** https://github.com/vinta/awesome-python/pull/1805 **Author:** [@MatteoGuadrini](https://github.com/MatteoGuadrini) **Created:** 9/12/2021 **Status:** ❌ Closed **Base:** `master` ← **Head:** `master` --- ### 📄 Description ## What is this Python project? pyreports is a python library that allows you to create complex reports from various sources such as databases, text files, ldap, etc. and perform processing, filters, counters, etc. and then export or write them in various formats or in databases. You can use this library for complex reports, or to simply filter data into datasets divided by topic. Furthermore, it is possible to export in various formats, such as csv, excel files or write directly to the database (mysql, mssql, postgresql and more). ## What's the difference between this Python project and similar ones? - Capture any type of data - Export data in many formats - Data analysis - Process data with filters and maps - Some functions will help you to process averages, percentages and much more -- Docs: https://pyreports.readthedocs.io/en/latest/ Site: https://matteoguadrini.github.io/pyreports/ Anyone who agrees with this pull request could submit an Approve review to it. --- <sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>

GiteaMirror added the pull-request label 2025-11-06 13:18:51 -06:00

GiteaMirror closed this issue

2025-11-06 13:18:52 -06:00

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Reference: github-starred/awesome-python#1568