magnus
polars
| magnus | polars | |
|---|---|---|
| 13 | 144 | |
| 589 | 26,378 | |
| - | 3.4% | |
| 8.8 | 10.0 | |
| about 1 month ago | 1 day ago | |
| Rust | Rust | |
| MIT License | GNU General Public License v3.0 or later |
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.
magnus
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Regarding using multiple languages in one project
You can also use Rust to write an extension module that can be loaded into the Ruby interpreter, so that everything runs in the same process: https://github.com/matsadler/magnus
- Magnus – Write Ruby extension gems in Rust, or call Ruby code from a Rust binary
- Magnus 0.5 released (Library for writing Ruby gems in Rust)
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Tried polars in Ruby
So while the Arrow C binding for the Ruby language is relatively well-developed, polars-df is not an Arrow C binding, but a binding to Polars implemented in Rust. magnus is used for the connection between Ruby and Rust. In fact, there is also a Ruby data frame that uses the Arrow binding, which is called RedAmber. But we are not talking about that now.
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Ruby 3.2.0 Released
The template generated with bundle gem —-ext=rust uses the Magnus[1] library that provides a high-level friendly Rust wrapper over the Ruby C API, but you can also use rb-sys[2] which is lower level bindings direct to the Ruby C API.
[1]: https://github.com/matsadler/magnus
- 0.4.0 Release of Magnus. Write Ruby Gems in Rust, or Call Ruby from Rust
- 0.4.0 release of Magnus (Write Ruby gems in Rust)
- Magnus (bindings to Ruby) version 0.3.0
- Magnus (Rust library for writing Ruby gems) version 0.3.0
- Magnus: High level Ruby bindings for Rust
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?
rutie - “The Tie Between Ruby and Rust.”
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 🚀
tokenizers-ruby - Fast state-of-the-art tokenizers for Ruby
modin - Modin: Scale your Pandas workflows by changing a single line of code
CommonMarker - Ruby wrapper for the comrak (CommonMark parser) Rust crate
datafusion - Apache DataFusion SQL Query Engine
wasmtime-rb - Ruby WebAssembly runtime powered by Wasmtime
DataFrames.jl - In-memory tabular data in Julia
ruby-rust-extension-benchmark - Benchmark Ruby extension using Rust (Helix, Ruru, Rutie, FFI) and C
datatable - A Python package for manipulating 2-dimensional tabular data structures
halton-rb - A Ruby library, written in Rust, for generating Halton sequences
Apache Arrow - Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing