cso-classifier VS extruct

Compare cso-classifier vs extruct and see what are their differences.

cso-classifier

Python library that classifies content from scientific papers with the topics of the Computer Science Ontology (CSO). (by angelosalatino)
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cso-classifier extruct
1 3
84 823
- 1.6%
4.5 6.6
11 months ago 17 days ago
Python Python
Apache License 2.0 BSD 3-clause "New" or "Revised" License
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cso-classifier

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

extruct

Posts with mentions or reviews of extruct. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-09.

What are some alternatives?

When comparing cso-classifier and extruct you can also consider the following projects:

Fast_Sentence_Embeddings - Compute Sentence Embeddings Fast!

rdflib - RDFLib is a Python library for working with RDF, a simple yet powerful language for representing information.

contextualise - Contextualise is an effective tool particularly suited for organising information-heavy projects and activities consisting of unstructured and widely diverse data and information resources

PyLD - JSON-LD processor written in Python

code-gov - An informative repo for all Code.gov repos

kylo - Kylo is a data lake management software platform and framework for enabling scalable enterprise-class data lakes on big data technologies such as Teradata, Apache Spark and/or Hadoop. Kylo is licensed under Apache 2.0. Contributed by Teradata Inc.

metatron - A Python 3.x HTML Meta tag parser, with emphasis on OpenGraph and complex meta tag schemes

PheKnowLator - PheKnowLator: Heterogeneous Biomedical Knowledge Graphs and Benchmarks Constructed Under Alternative Semantic Models

topic-db - TopicDB is a topic maps-based semantic graph store (using SQLite for persistence)

RDFLib plugin providing JSON-LD parsing and serialization - JSON-LD parser and serializer plugins for RDFLib

datasette-lite - Datasette running in your browser using WebAssembly and Pyodide