Mediawiker vs wikitextparser

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Mediawiker		wikitextparser
	Project
1	Mentions	1
134	Stars	268
-	Growth	-
2.7	Activity	9.0
10 months ago	Latest Commit	17 days ago
Python	Language	Python
GNU General Public License v3.0 or later	License	GNU General Public License v3.0 only

The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Mediawiker

Posts with mentions or reviews of Mediawiker. We have used some of these posts to build our list of alternatives and similar projects.

MediaWiker functionality
1 project | /r/SublimeText | 20 Jan 2021

wikitextparser

Posts with mentions or reviews of wikitextparser. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-06.

Updated: I've saved all of Wikipedia into a SQLITE database!
4 projects | /r/DataHoarder | 6 Apr 2021

The use of regex seems inefficient, is there any reason why you didn't start with lxml or a purpose built parser like wikitextparser?

What are some alternatives?

When comparing Mediawiker and wikitextparser you can also consider the following projects:

kiwix-hotspot - Kiwix Hotspot Image Creator (Desktop) for Windows/macOS/Linux

mwparserfromhell - A Python parser for MediaWiki wikicode

WiktionaryParser - A Python Wiktionary Parser

PlainTextWikipedia - Convert Wikipedia database dumps into plaintext files

wikifunctions - Python functions for retrieving data from the MediaWiki/Wikipedia API

MediaWiki-Tools - Tools for getting data from MediaWiki websites

wikiteam - Tools for downloading and preserving wikis. We archive wikis, from Wikipedia to tiniest wikis. As of 2023, WikiTeam has preserved more than 350,000 wikis.

obsei - Obsei is a low code AI powered automation tool. It can be used in various business flows like social listening, AI based alerting, brand image analysis, comparative study and more .