Wikipedia-Article-Scraper VS taxopedia

Compare Wikipedia-Article-Scraper vs taxopedia and see what are their differences.

Wikipedia-Article-Scraper

A complete Python text analytics package that allows users to search for a Wikipedia article, scrape it, conduct basic text analytics and integrate it to a data pipeline without writing excessive code. (by kohjiaxuan)
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Wikipedia-Article-Scraper taxopedia
- 4
19 7
- -
0.0 0.0
about 2 years ago about 3 years ago
Python Python
MIT License MIT License
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.

Wikipedia-Article-Scraper

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

We haven't tracked posts mentioning Wikipedia-Article-Scraper yet.
Tracking mentions began in Dec 2020.

taxopedia

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

What are some alternatives?

When comparing Wikipedia-Article-Scraper and taxopedia you can also consider the following projects:

tf-idf - Term Frequency-Inverse Document Frequency from Scratch

graphlan - High-quality circular representations of taxonomic and phylogenetic trees

Wikipedia-API - Python wrapper for Wikipedia

ielex-data-and-tree - Data and scripts for producing a Baysian phylogenetic tree sample of for the Indo-European family which is "good enough", using data from IELex (Dunn et al. 2011).

NLP-Model-for-Corpus-Similarity - A NLP algorithm I developed to determine the similarity or relation between two documents/Wikipedia articles. Inspired by the cosine similarity algorithm and built from WordNet.

kraken-biom - Create BIOM-format tables (http://biom-format.org) from Kraken output (http://ccb.jhu.edu/software/kraken/, https://github.com/DerrickWood/kraken).

MediaWiki-Tools - Tools for getting data from MediaWiki websites

SerializeThis - Scripts to convert Html to JSON without APIs

GTDBTk - GTDB-Tk: a toolkit for assigning objective taxonomic classifications to bacterial and archaeal genomes.

wikiteam - Tools for downloading and preserving wikis. We archive wikis, from Wikipedia to tiniest wikis. As of 2024, WikiTeam has preserved more than 600,000 wikis.

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Bad PDFs = bad UX. Slow load times, broken annotations, clunky UX frustrates users. Nutrient’s PDF SDKs gives seamless document experiences, fast rendering, annotations, real-time collaboration, 100+ features. Used by 10K+ devs, serving ~half a billion users worldwide. Explore the SDK for free.
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