fantoccini
polars
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| fantoccini | polars | |
|---|---|---|
| 4 | 144 | |
| 1,444 | 26,218 | |
| - | 6.7% | |
| 7.2 | 10.0 | |
| 2 days ago | 2 days ago | |
| Rust | Rust | |
| 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.
fantoccini
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Looking for Selenium Crates that Only Require Chrome Driver Binary Path
You can run the binary yourself. I'm using the following code with https://github.com/jonhoo/fantoccini, but I suspect it would work with thirtyfour too (thirtyfour builds on top of fantoccini):
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"Day in the Life" of open-source development in Rust [video]
Look at how much easier the code is to read (and how much less error-prone it is) with the diff though!
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Hey Rustaceans! Got a question? Ask here! (26/2022)!
You'll need a web driver to parse and execute the client-side JS scripts. I would recommend fantoccini for a web driver API.
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What libraries do you miss from other languages?
https://github.com/jonhoo/fantoccini is inspired by Puppeteer.
polars
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Why Python's Integer Division Floors (2010)
This is because 0.1 is in actuality the floating point value value 0.1000000000000000055511151231257827021181583404541015625, and thus 1 divided by it is ever so slightly smaller than 10. Nevertheless, fpround(1 / fpround(1 / 10)) = 10 exactly.
I found out about this recently because in Polars I defined a // b for floats to be (a / b).floor(), which does return 10 for this computation. Since Python's correctly-rounded division is rather expensive, I chose to stick to this (more context: https://github.com/pola-rs/polars/issues/14596#issuecomment-...).
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Polars
https://github.com/pola-rs/polars/releases/tag/py-0.19.0
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Stuff I Learned during Hanukkah of Data 2023
That turned out to be related to pola-rs/polars#11912, and this linked comment provided a deceptively simple solution - use PARSE_DECLTYPES when creating the connection:
- Polars 0.20 Released
- Segunda linguagem
- Polars: Dataframes powered by a multithreaded query engine, written in Rust
- Summing columns in remote Parquet files using DuckDB
- Polars 0.34 is released. (A query engine focussing on DataFrame front ends)
What are some alternatives?
thirtyfour - Selenium WebDriver client for Rust, for automated testing of websites
vaex - Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
cloudscraper - A Python module to bypass Cloudflare's anti-bot page.
modin - Modin: Scale your Pandas workflows by changing a single line of code
rust-headless-chrome - A high-level API to control headless Chrome or Chromium over the DevTools Protocol. It is the Rust equivalent of Puppeteer, a Node library maintained by the Chrome DevTools team.
datafusion - Apache DataFusion SQL Query Engine
not-yet-awesome-rust - A curated list of Rust code and resources that do NOT exist yet, but would be beneficial to the Rust community.
DataFrames.jl - In-memory tabular data in Julia
rusthunter - RustHunter is a modular incident response framework based on Rust and Ansible to build and compare environmental baselines.
datatable - A Python package for manipulating 2-dimensional tabular data structures
shiplift - 🐳 🦀 rust interface for maneuvering docker containers
Apache Arrow - Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing