33 Open Source Data Frame Software Projects

Java dataframe and visualization library

In-memory tabular data in Julia

Ways of doing Data Science Engineering and Machine Learning in R and Python

Lightning Fast Serialization of Data Frames for R

Data frames for Java

A javascript library providing a new data structure for datascientists and developpers

Data validation and organization of metadata for data frames and database tables

A tutorial on Julia DataFrames package

Immutable data frame for Go

A library that wraps pandas and openpyxl and allows easy styling of dataframes in excel

A Spark plugin for reading Excel files via Apache POI

Node.js bindings for Apache Spark DataFrame APIs

Python based framework to retreive Global Database of Events, Language, and Tone (GDELT) version 1.0 and version 2.0 data.

A convenience R package for getting Wikipedia article access statistics (and more).

SQL on dataframes - pandas and dask

Google BigQuery support for Spark, Structured Streaming, SQL, and DataFrames with easy Databricks integration.

DataFrame in Pharo - tabular data structures for data analysis

Google Spreadsheets datasource for SparkSQL and DataFrames

Lightweight Elasticsearch client for R.

DataFrame Library for Java

A DataFrame for Javascript

This is a library for making batch request to Google Analytics Core Reporting v3 API and extracting data from Google Analytics property into Python 3 data structures.

⌚️ A faster unique() function

Reading and writing pandas DataFrames in Elasticsearch

R-package: Methods for dividing data into groups. Create balanced partitions and cross-validation folds. Perform time series windowing and general grouping and splitting of data. Balance existing groups with up- and downsampling.

In-memory Java DataFrame library

Python classes for data manipulation

Query the Scopus Search API in R and parse the results into a data frame

Converts SAS or Hive SQL to Spark DataFrames

A tidyverse suite for (pre-) machine-learning: cluster, PCA, permute, impute, rotate, redundancy, triangular, smart-subset, abundant and variable features.

A Python library for summarizing event data into multivariate categorical data

A Python module to scrape data from basketbal-reference.com and convert it to pandas data structures for analysis.