How do I convert an RDS file to CSV or Excel?

Open it here and choose CSV or Excel above the table. Factors are saved as their labels, dates as dates and missing values as empty cells. For an .RData file with several data frames, All tables to Excel puts each one on its own sheet.

What is the difference between .rds and .RData?

An .rds file holds one R object and is read with readRDS(), which gives it whatever name you choose. An .RData (or .rda) file holds any number of named objects and is read with load(), which puts them back under their saved names. This page opens both and lists the objects in an .RData file by name.

Can it open a saved model, like the result of lm()?

It opens it and shows what is inside: the coefficients, residuals, the model frame and the call, each as a table or a value you can save. It cannot run predict() or summary() on it, because those need R itself.

Is my R data uploaded anywhere?

No. The file is read by your browser, so research data, survey responses and anything else confidential stays on your computer.

Stays on your computer How this works

Free RDS and RData file viewer

Open R's .rds and .RData files without R - see every data frame as a table with a summary of each column, look inside lists and models, and save the data as CSV, Excel or JSON - in your browser

Drag & drop an .rds or .RData file here, or browse

.rds · .RData · .rda · any compression · nothing is uploaded

About this RDS and RData viewer

R saves data in its own binary formats: .rds for a single object (saveRDS) and .RData or .rda for a set of named objects (save, or the workspace R offers to save on exit). They turn up attached to papers, in course materials, in shared project folders and inside R packages, and opening one normally means installing R and RStudio. Python can read some of them with extra packages; nothing else opens them at all.

This page reads the file itself, with a reader written for this site from R's own description of the format, and shows every object in it: data frames, tibbles and data.tables as tables, with factors, dates, times and labelled values shown as R shows them; matrices and arrays; and lists, models, functions and environments as an outline you can open tables from. Save any table as CSV or Excel, every table at once as one Excel file, or anything as JSON. It is free to use, with no account and no upload limit, and it runs entirely in your browser: nothing is uploaded, and once you have used it, it keeps working offline.

What you can do

Open .rds, .RData and .rda files from any version of R since 1.4, compressed with gzip, bzip2 or xz, or not at all
See data frames, tibbles, data.tables and matrices as tables you can sort and filter
Get a summary of each column: type, missing values, distinct values and the range or most common values
Look inside lists, model objects, S4 objects and environments, and read the code of saved functions
Save a table as CSV or Excel, every table as one Excel workbook, or any object as JSON

How to open an RDS or RData file without R

Drop the .rds or .RData file onto the page, or click to choose it.
Pick an object on the left; a data frame opens as a table, anything else as an outline.
Choose CSV, Excel or JSON to save the data in a format any program opens.

Questions

How do I convert an RDS file to CSV or Excel?: Open it here and choose CSV or Excel above the table. Factors are saved as their labels, dates as dates and missing values as empty cells. For an .RData file with several data frames, All tables to Excel puts each one on its own sheet.
What is the difference between .rds and .RData?: An .rds file holds one R object and is read with readRDS(), which gives it whatever name you choose. An .RData (or .rda) file holds any number of named objects and is read with load(), which puts them back under their saved names. This page opens both and lists the objects in an .RData file by name.
Can it open a saved model, like the result of lm()?: It opens it and shows what is inside: the coefficients, residuals, the model frame and the call, each as a table or a value you can save. It cannot run predict() or summary() on it, because those need R itself.
Is my R data uploaded anywhere?: No. The file is read by your browser, so research data, survey responses and anything else confidential stays on your computer.

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