Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Tablesaw | 3,328 | 14 | 24 | 5 months ago | 78 | April 02, 2022 | 130 | apache-2.0 | Java | |
Java dataframe and visualization library | ||||||||||
Spark Excel | 421 | 3 | 6 | 2 months ago | 43 | February 22, 2021 | 83 | apache-2.0 | Scala | |
A Spark plugin for reading and writing Excel files | ||||||||||
Styleframe | 341 | 5 | 4 months ago | 50 | November 13, 2023 | 8 | mit | Python | ||
A library that wraps pandas and openpyxl and allows easy styling of dataframes in excel | ||||||||||
Writexl | 206 | 3 months ago | 23 | other | C | |||||
Portable, light-weight data frame to xlsx exporter for R | ||||||||||
Ditching Excel For Python | 175 | 3 years ago | Jupyter Notebook | |||||||
Functionalities in Excel translated to Python | ||||||||||
Xlsxpandasformatter | 55 | a year ago | 2 | February 14, 2021 | mit | Python | ||||
Deals with the limitations of formatting when using Pandas dataframe and xlsxwriter to export to Excel format. Allows to apply format to cells, columns, or rows. | ||||||||||
Excel | 48 | a year ago | mit | Jupyter Notebook | ||||||
Transforming Excel Analysis into Python and pandas Data Models | ||||||||||
Spark Hadoopoffice Ds | 37 | a year ago | 28 | March 30, 2022 | 4 | apache-2.0 | Scala | |||
A Spark datasource for the HadoopOffice library | ||||||||||
Writexls | 20 | 22 | 15 | 3 months ago | 28 | May 25, 2019 | gpl-2.0 | Perl | ||
CRAN Package WriteXLS: Cross-platform Perl based R function to create Excel 2003 (XLS) and Excel 2007 (XLSX) files from one or more data frames. Each data frame will be written to a separate named worksheet in the Excel spreadsheet. The worksheet name will be the name of the data frame it contains or can be specified by the user. | ||||||||||
Tableio.jl | 12 | a year ago | 1 | mit | Julia | |||||
A glue package for reading and writing tabular data. It aims to provide a uniform api for reading and writing tabular data from and to multiple sources. |