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The anyflights package supplies a set of functions to generate air travel data (and data packages!) similar to nycflights13. With a user-defined year and airport, the anyflights function will grab data on:

The package also exports a set of functions to query each of the above datasets individually. Each of the functions are named get_* followed with the names of the datasets (shown above in code), and require a varying combination of the station (character vector of FAA LID airport codes), year (as an integer), and month (integer vector) arguments. Optionally, the user can also supply a dir argument (filepath to a folder) to save the resulting datasets.

These functions require a strong connection to run; expect several minutes of runtime, especially for the anyflights and get_flights functions.

The FAA usually posts all of the data for a given year during February or March of the following year. All airports with an FAA LID code are supported, to my knowledge. Data queries earlier than 2013 are significantly less thoroughly tested than those 2013 and on.


anyflights is now on CRAN! Install with the following code:


To install the developmental version, use the following code:


Basic Usage

To grab a named list of 5 dataframes giving nycflights13-like air travel data for the Portland International Airport during June 2019, you could call:

pdxflights19 <- anyflights("PDX", 2019, 6)

To grab the original nycflights13 datasets, try:

nycflights13_ <- anyflights(c("JFK", "LGA", "EWR"), 2013)

The package also provides an as_flights_package function to create a data-only package from the data outputted by anyflights. To create the package from the data, just supply a name:

pdxflights19 %>%

and check out the data-only package in the pdxflights directory! 🐛

If you have used anyflights to create a data package, please link me to the repository and I might feature it here! Please do not submit the outputted package to CRAN or similar repositories as original packages.


Contributions to anyflights, whether in the form of bug fixes, issue reports, new code or documentation improvements are encouraged and welcome. Please see if you’re interested in contributing!