gitoxide
polars
| gitoxide | polars | |
|---|---|---|
| 84 | 144 | |
| 7,939 | 26,218 | |
| - | 2.9% | |
| 9.9 | 10.0 | |
| 10 days ago | 4 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.
gitoxide
- [Gitoxide in October] The first security issue and usable `gix status`
- Gitoxide: An idiomatic, lean, fast and safe pure Rust implementation of Git
- [Gitoxide in July] worktree checkouts with streaming for `git-lfs` files, and `crates-index` uses `gix`
- [Gitoxide in June]: robust fetch negotiations and `gix corpus` with `tracing` integration
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What are you rewriting in rust?
But I'd suggest joining an existing project instead. This week in Rust has a call for participation section each week. There are also some exciting rewrites like arti, gitoxide, fish, and a steady stream of projects announced in this sub.
- [Gitoxide in May]: Greater pack resolution performance and the beginnings of negotiation algorithms
- [Gitoxide in April] A first step towards `gix status` and `.gitattributes` matching
- Idiomatic, lean, fast and safe pure Rust implementation of Git
- [Gitoxide in March]: `cargo` shallow clones PR and `gitoxide` in `cargo` nightly
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What’s an actual use case for Rust
There's a re-implementation of git called gitoxide
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?
EdenSCM - A Scalable, User-Friendly Source Control System. [Moved to: https://github.com/facebook/sapling]
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 🚀
ht - Friendly and fast tool for sending HTTP requests
modin - Modin: Scale your Pandas workflows by changing a single line of code
Symphonia - Pure Rust multimedia format demuxing, tag reading, and audio decoding library
datafusion - Apache DataFusion SQL Query Engine
freenet-core - Declare your digital independence
DataFrames.jl - In-memory tabular data in Julia
delta - A syntax-highlighting pager for git, diff, and grep output
datatable - A Python package for manipulating 2-dimensional tabular data structures
CompactGUI - Transparently compress active games and programs using Windows 10/11 APIs [Moved to: https://github.com/IridiumIO/CompactGUI]
Apache Arrow - Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing