ipython_memory_usage
gazpacho
ipython_memory_usage | gazpacho | |
---|---|---|
1 | 1 | |
363 | 731 | |
- | - | |
4.4 | 3.2 | |
21 days ago | 5 months ago | |
Jupyter Notebook | Python | |
MIT License | MIT License |
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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.
ipython_memory_usage
-
Ask HN: What are some tools / libraries you built yourself?
Years back I built IPython Memory Usage[0] which shows how much RAM and time was used per cell in Jupyter Notebooks (and originally the IPython shell). This is very useful for diagnosing why some Pandas and NumPy operations use a lot of RAM [1] which can also point at slow-downs, so you can compare different approaches to find more efficient solutions rather than randomly trying stuff until something no longer breaks.
0: https://github.com/ianozsvald/ipython_memory_usage
1: https://github.com/ianozsvald/ipython_memory_usage/blob/mast...
gazpacho
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Ask HN: What are some tools / libraries you built yourself?
I've been working on gazpacho [1] for last two years.
It's a general purpose web scraping library for Python that replaces BeautifulSoup + requests for most projects.
Just surpassed ~2K downloads every week!
[1] https://github.com/maxhumber/gazpacho
What are some alternatives?
vaku - vaku extends the vault api & cli
selectolax - Python binding to Modest and Lexbor engines (fast HTML5 parser with CSS selectors).
Zip Foundation - Effortless ZIP Handling in Swift
lxml - The lxml XML toolkit for Python
kondo - Cleans dependencies and build artifacts from your projects.
html5lib - Standards-compliant library for parsing and serializing HTML documents and fragments in Python
htmx - </> htmx - high power tools for HTML
xmltodict - Python module that makes working with XML feel like you are working with JSON
tera - A template engine for Rust based on Jinja2/Django
xhtml2pdf - A library for converting HTML into PDFs using ReportLab
Shynet - Modern, privacy-friendly, and detailed web analytics that works without cookies or JS.
untangle - Converts XML to Python objects