kylo
selectolax
kylo | selectolax | |
---|---|---|
1 | 6 | |
1,091 | 976 | |
0.5% | - | |
10.0 | 7.7 | |
over 1 year ago | 2 months ago | |
Java | Cython | |
Apache License 2.0 | MIT License |
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.
kylo
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GitHub – GSA/code-gov: An informative repo for all Code.gov repos
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:
selectolax
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GitHub – GSA/code-gov: An informative repo for all Code.gov repos
https://github.com/rushter/selectolax#simple-benchmark )
(Apache Nutch is a Java-based web crawler which supports e.g. CommonCrawl (which backs various foundational LLMs)) https://en.wikipedia.org/wiki/Apache_Nutch#Search_engines_bu... . But extruct extracts more types of metadata and data than Nutch AFAIU: https://github.com/scrapinghub/extruct )
datasette-graphql adds a GraphQL HTTP API to a SQLite database:
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8 Most Popular Python HTML Web Scraping Packages with Benchmarks
selectolax
- High performance code in Python
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Web Scraping with Python: Everything you need to know to get started (2022)
try this... https://github.com/rushter/selectolax
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The State of Web Scraping in 2021
Lazyweb link: https://github.com/rushter/selectolax
although I don't follow the need to have what appears to be two completely separate HTML parsing C libraries as dependencies; seeing this in the readme for Modest gives me the shivers because lxml has _seen some shit_
> Modest is a fast HTML renderer implemented as a pure C99 library with no outside dependencies.
although its other dep seems much more cognizant about the HTML5 standard, for whatever that's worth: https://github.com/lexbor/lexbor#lexbor
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> It looks like the author of the article just googled some libraries for each language and didn't research the topic
Heh, oh, new to the Internet, are you? :-D
- Show HN: Fast HTML5 parser for Python with multiple backends
What are some alternatives?
extruct - Extract embedded metadata from HTML markup
lxml - The lxml XML toolkit for Python
code-gov - An informative repo for all Code.gov repos
lexbor - Lexbor is development of an open source HTML Renderer library. https://lexbor.com
hugo-obsidian - simple GitHub action to parse Markdown Links into a .json file for Hugo
html5lib - Standards-compliant library for parsing and serializing HTML documents and fragments in Python
nifi-djl-processor - Apache NiFi 1.10 DJL
pyppeteer - Headless chrome/chromium automation library (unofficial port of puppeteer)
awesome-semantic-web - A curated list of various semantic web and linked data resources.
pyquery - A jquery-like library for python
datasette-ripgrep - Web interface for searching your code using ripgrep, built as a Datasette plugin
gazpacho - 🥫 The simple, fast, and modern web scraping library