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add Spark, cuDF, and Dask #6

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Expand Up @@ -24,11 +24,16 @@ Python
- [tidypandas](https://github.com/talegari/tidypandas) - A grammar of data manipulation for pandas inspired by tidyverse.
- [redframes](https://github.com/maxhumber/redframes) - [re]ctangular[d]ata[frames]
- [static-frame](https://github.com/InvestmentSystems/static-frame) - Immutable and grow-only Pandas-like DataFrames with a more explicit and consistent interface
- [Spark](https://spark.apache.org/) - single-machine or cluster data tool, including DataFrames
- [Dask](https://www.dask.org/) - Python library to scale Pandas code
- [cuDF](https://docs.rapids.ai/api/cudf/stable/) - a GPU DataFrame library for Python


R
- [dplyr](https://github.com/tidyverse/dplyr) - A grammar of data manipulation, providing a consistent set of verbs that help you solve the most common data manipulation challenges.
- [data.table](https://github.com/Rdatatable/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.
- [dance](https://github.com/romainfrancois/dance) - Dancing 💃 with the stats, aka `tibble()` dancing 🕺. dance is a sort of reinvention of dplyr classic verbs, with a more modern stack underneath, i.e. it leverages a lot from vctrs and rlang.
- [Spark](https://spark.apache.org/) - single-machine or cluster data tool, including DataFrames

JavaScript
- [Arquero](https://github.com/uwdata/arquero) - A JavaScript library for query processing and transformation of array-backed data tables. Following the relational algebra and inspired by the design of dplyr, Arquero provides a fluent API for manipulating column-oriented data frames.
Expand Down Expand Up @@ -69,6 +74,7 @@ Go

Java
- [Tablesaw](https://github.com/jtablesaw/tablesaw) - Java dataframe and visualization library.
- [Spark](https://spark.apache.org/) - single-machine or cluster data tool, including DataFrames

Kotlin
- [Kotlin Dataframe](https://github.com/Kotlin/dataframe) - Structured data processing in Kotlin.
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