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Rust Dataframe Projects
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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-...).
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Rust Dataframes related posts
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Why Python's Integer Division Floors (2010)
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Polars 0.20 Released
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Polars: Dataframes powered by a multithreaded query engine, written in Rust
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Polars 0.34 is released. (A query engine focussing on DataFrame front ends)
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Polars 0.34 is released. (A query engine focussing on DataFrame front ends)
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Polars
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If you could ask the creators of pandas for one additional feature, what would it be?
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Index
| Project | Stars | |
|---|---|---|
| 1 | polars | 26,218 |
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