extruct VS kylo

Compare extruct vs kylo and see what are their differences.

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. (by Teradata)
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extruct kylo
3 1
819 1,091
2.3% 0.5%
3.8 10.0
6 days ago over 1 year ago
Python Java
BSD 3-clause "New" or "Revised" License Apache License 2.0
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.

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.

kylo

Posts with mentions or reviews of kylo. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-09.
  • GitHub – GSA/code-gov: An informative repo for all Code.gov repos
    12 projects | news.ycombinator.com | 9 Sep 2023
    https://github.com/simonw/datasette-lite :

    > You can use this tool to open any SQLite database file that is hosted online and served with a `access-control-allow-origin: ` CORS header. Files served by GitHub Pages automatically include this header, as do database files that have been published online using `datasette publish`.*

    > [...] You can paste in the "raw" URL to a file, but Datasette Lite also has a shortcut: if you paste in the URL to a page on GitHub or a Gist it will automatically convert it to the "raw" URL for you

    > To load a Parquet file, pass a URL to `?parquet=`

    > [...] https://lite.datasette.io/?parquet=https://github.com/Terada...*

    There are various *-to-sqlite utilities that load data into a SQLite database for use with e.g. datasette. E.g. Pandas with `dtype_backend='arrow'` saves to Parquet.

    datasette plugins are written in Python and/or JS w/ pluggy:

What are some alternatives?

When comparing extruct and kylo you can also consider the following projects:

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

selectolax - Python binding to Modest and Lexbor engines (fast HTML5 parser with CSS selectors).

PyLD - JSON-LD processor written in Python

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

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

hugo-obsidian - simple GitHub action to parse Markdown Links into a .json file for Hugo

nifi-djl-processor - Apache NiFi 1.10 DJL

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

awesome-semantic-web - A curated list of various semantic web and linked data resources.

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

datasette-ripgrep - Web interface for searching your code using ripgrep, built as a Datasette plugin