woodpecker
polars
| woodpecker | polars | |
|---|---|---|
| 4 | 144 | |
| 1,967 | 26,218 | |
| - | 2.9% | |
| 2.0 | 10.0 | |
| 2 months ago | 4 days ago | |
| Rust | Rust | |
| GNU General Public License v3.0 only | 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.
woodpecker
- My impressions of using the Drill performance testing tool
- What are some less popular but well-made crates you'd like others to know about?
-
[Media] Introducing `pdc` a load testing library that can hit 500,000 req/sec
drill
-
[ANN] servant-benchmark v0.1.1.1
I've recently published servant-benchmark, a small library that produces request files from Servant APIs to be used by external benchmarking tools. It currently supports exports for wrk, siege, and drill.
polars
-
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-...).
-
Polars
https://github.com/pola-rs/polars/releases/tag/py-0.19.0
-
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?
woodpecker - Drill is an HTTP load testing application written in 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 🚀
habitat - Modern applications with built-in automation
modin - Modin: Scale your Pandas workflows by changing a single line of code
trust-dns - A Rust based DNS client, server, and resolver [Moved to: https://github.com/hickory-dns/hickory-dns]
datafusion - Apache DataFusion SQL Query Engine
coreutils - Cross-platform Rust rewrite of the GNU coreutils
DataFrames.jl - In-memory tabular data in Julia
parity-bitcoin - The Parity Bitcoin client
datatable - A Python package for manipulating 2-dimensional tabular data structures
PumpkinDB - Immutable Ordered Key-Value Database Engine
Apache Arrow - Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing