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awesome-dataframes

An awesome list of dataframe libraries
https://github.com/jcmkk3/awesome-dataframes

Last synced: 4 days ago
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  • Libraries

    • pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.
    • Polars - Fast multi-threaded DataFrame library in Rust and Python.
    • Modin - Speed up your Pandas workflows by changing a single line of code.
    • Ibis - A pandas-like deferred expression system, with first-class SQL support.
    • agate - agate is a Python data analysis library that is optimized for humans instead of machines. It is an alternative to numpy and pandas that solves real-world problems with readable code.
    • Lemuras - A small *pure* Python library to deal with big tables.
    • datatable - A Python package for manipulating 2-dimensional tabular data structures.
    • Prosto - A Python data processing toolkit to programmatically author and execute complex data processing workflows. Conceptually, it is an alternative to purely set-oriented approaches to data processing like map-reduce, relational algebra, SQL or data-frame-based tools like pandas.
    • siuba - Python library for using dplyr like syntax with pandas and SQL.
    • Vaex - A high performance Python library for lazy Out-of-Core DataFrames (similar to Pandas), to visualize and explore big tabular datasets.
    • dfply - dplyr-style piping operations for pandas dataframes.
    • kadro - A friendly pandas wrapper with a more composable grammar support.
    • dexplo - Data exploration library with a pandas-like API.
    • pands_cub - A detailed project that teaches you how to build your own Python data analysis library, pandas_cub, from scratch.
    • fletcher - Pandas ExtensionDType/Array backed by Apache Arrow.
    • tidypandas - A grammar of data manipulation for pandas inspired by tidyverse.
    • redframes - [re]ctangular[d]ata[frames]
    • dplyr - A grammar of data manipulation, providing a consistent set of verbs that help you solve the most common data manipulation challenges.
    • 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.
    • 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.
    • dataflow-api - JavaScript API for dataflow processing using the vega-dataflow reactive engine. Perform common database operations (sorting, filtering, aggregation, window calculations) over JavaScript objects.
    • datalib - A JavaScript data utility library. It provides facilities for data loading, type inference, common statistics, and string templates.
    • Tidy.js - Tidy up your data with JavaScript, inspired by dplyr and the tidyverse.
    • Data-Forge - The JavaScript data transformation and analysis toolkit inspired by Pandas and LINQ.
    • zebras - A data manipulation and analysis library written in JavaScript offering the convenience of pandas or R.
    • dataframe-js - A javascript library providing a new data structure for datascientists and developers.
    • DataFrames.jl - Tools for working with tabular data in Julia.
    • DataKnots.jl - A Julia library for querying data with an extensible, practical and coherent algebra of query combinators.
    • Volcanito.jl - Backend agnostic for tabular data operations in Julia.
    • Query.jl - A package for querying julia data sources. It can filter, project, join and group data from any iterable data source, including all the sources supported in IterableTables.jl.
    • TidierData.jl - 100% Julia implementation of the dplyr and tidyr R packages.
    • tech.ml.dataset - A Clojure high performance data processing system.
    • tablecloth - Dataset manipulation library build on the top of tech.ml.dataset.
    • Data Frame - Data frames for Common Lisp
    • DataFrame - A C++ statistical library that provides an interface similar to Pandas package in Python.
    • tidy - Leaning heavily on the principles of the tidyverse, and especially tidy data, this package makes it easy to reshape and tidy tabular data for easier data analysis and visualization.
    • column - High-performance, columnar, in-memory store with bitmap indexing in Go.
    • gambas - Data analysis tool for Go. Similar to the famous Python library pandas.
    • Tablesaw - Java dataframe and visualization library.
    • Kotlin Dataframe - Structured data processing in Kotlin.
    • krangl - A {K}otlin library for data w{rangl}ing.
    • Assistant - A data science library providing flexible dataframes for Lua 5.1+
    • Data::Reshapers - Raku package with data reshaping functions for different data structures.
    • rover - Simple, powerful data frames for Ruby.
    • daru - daru (Data Analysis in RUby) is a library for storage, analysis, manipulation and visualization of data in Ruby.
    • polars-ruby - Blazingly fast DataFrames for Ruby.
    • VisiData - A terminal spreadsheet multitool for discovering and arranging data.
    • qSQL - Query language embedded into Q.
    • datafusion - DataFrame API in Apache Arrow DataFusion
    • Dataset - Represents a structured dataset based on a hierarchy of lists and associations.
    • SQLite - A C-language library that implements a small, fast, self-contained, high-reliability, full-featured, SQL database engine
    • Prosto - A Python data processing toolkit to programmatically author and execute complex data processing workflows. Conceptually, it is an alternative to purely set-oriented approaches to data processing like map-reduce, relational algebra, SQL or data-frame-based tools like pandas.
    • tidypandas - A grammar of data manipulation for pandas inspired by tidyverse.
    • static-frame - Immutable and grow-only Pandas-like DataFrames with a more explicit and consistent interface
    • Simple Data Analysis (SDA) - Easy-to-use JavaScript library for most common data analysis tasks.
    • DataKnots.jl - A Julia library for querying data with an extensible, practical and coherent algebra of query combinators.
    • polars - A blazingly fast DataFrames library implemented in Rust.
    • 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.

  • Other

    • Arrow - A cross-language development platform for in-memory data.
    • Substrait - A cross platform way to express data transformation, relational algebra, standardized record expression and plans.
    • Consortium for Python Data APIs
    • Malloy - An experimental language for describing data relationships and transformations.
    • prql - A modern language for transforming data — a simple, powerful, pipelined SQL replacement.

  • Papers

  • Other Lists

Programming Languages
Python 18 JavaScript 5 Julia 5 Ruby 3 Rust 3 C++ 3 R 3 TypeScript 3 Kotlin 2 Go 2
Categories
Libraries 58 Other 5 Other Lists 4 Papers 4
Sub Categories
Keywords
python 15 dataframe 14 data-analysis 13 data-science 13 pandas 13 data 8 sql 7 dplyr 5 javascript 4 datascience 4 csv 4 polars 4 json 4 machine-learning 4 dataframe-library 4 data-wrangling 3 data-frame 3 statistical-analysis 3 tidyverse 3 julia 3 tabular-data 3 java 3 visualization 3 arrow 3 dataframes 3 dataset 2 clojure 2 table 2 out-of-core 2 rust 2 html 2 bigdata 2 kotlin 2 data-visualization 2 sqlite 2 data-manipulation 2 hdf5 2 r 2 cli 2 pyarrow 2 nodejs 2 database 2 query 2 machinelearning 2 duckdb 2 tsv 2 memory-mapped-file 1 workflow 1 etl 1 pandas-dataframe 1