Tags / Data science /
Dataframe library
A library for tabular data in memory with columns, filters, joins, and group-by, such as pandas or Polars.
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readme:
Powerful, flexible [**group by**][groupby] functionality to perform
description:
Extremely fast Query Engine for DataFrames, written in Rust
readme:
Modin is a drop-in replacement for pandas.
- NVIDIA/cudf9.8K
readme:
A DataFrame library mirroring the pandas API
- vaexio/vaex8.5K
readme:
Vaex is a high performance Python library for lazy **Out-of-Core DataFrames**
readme:
Ibis is the portable Python dataframe library:
- tidyverse/dplyr5.1K
readme:
These all combine naturally with `group_by()` which allows you to perform any operation “by group”.
readme:
`data.table` provides a high-performance version of base R's `data.frame` with syntax and feature enhancements for ease of use, convenience and programming speed.
readme:
__Tablesaw__ is a dataframe and visualization library that supports loading, cleaning, transforming, filtering, and summarizing data.
readme:
The Koalas project makes data scientists more productive when interacting with big data, by implementing the pandas DataFrame API on top of Apache Spark.
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