navajo
polars
navajo | polars | |
---|---|---|
2 | 144 | |
1 | 26,637 | |
- | 4.4% | |
4.2 | 10.0 | |
11 months ago | 3 days ago | |
Rust | Rust | |
Apache License 2.0 | 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.
navajo
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What are you rewriting in rust?
The crate is named navajo after the code talkers of WW2. It isn't stable yet (still in version 0.0.x) and isn't wire compatible with tink as I took some liberties to change the way it processes online/streaming AEAD.
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What's everyone working on this week (17/2023)?
Working on getting navajo closer to a place where others can use it.
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?
archie
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 🚀
inox2d - Native Rust reimplementation of Inochi2D
modin - Modin: Scale your Pandas workflows by changing a single line of code
rustycopier - Its a copier implemented in rust programming language with multithreading
datafusion - Apache DataFusion SQL Query Engine
tuning-library - Micro-tuning format parsing and frequency finding as a header-only C+ library
DataFrames.jl - In-memory tabular data in Julia
videocall-rs - teleconference system written in rust
datatable - A Python package for manipulating 2-dimensional tabular data structures
sandwich - Sandwich is a multi-platform, multi-language, open-source library that provides a simple unified API for developers to use (multiple) cryptographic libraries in their applications.
Apache Arrow - Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing