Testing and documenting code that communicates with remote servers
    can be painful. This package helps with writing tests for packages that
    use 'httr2'. It enables testing all of the logic
    on the R sides of the API without requiring access to the
    remote service, and it also allows recording real API responses to use as
    test fixtures. The ability to save responses and load them offline also
    enables writing vignettes and other dynamic documents that can be
    distributed without access to a live server.

Provides low-level socket and protocol support for handling
    HTTP and WebSocket requests directly from within R. It is primarily
    intended as a building block for other packages, rather than making it
    particularly easy to create complete web applications using httpuv
    alone.  httpuv is built on top of the libuv and http-parser C
    libraries, both of which were developed by Joyent, Inc. (See LICENSE
    file for libuv and http-parser license information.)

Useful tools for working with HTTP organised by HTTP verbs
    (GET(), POST(), etc). Configuration functions make it easy to control
    additional request components (authenticate(), add_headers() and so
    on).

Tools for creating and modifying HTTP requests, then
    performing them and processing the results. 'httr2' is a modern
    re-imagining of 'httr' that uses a pipe-based interface and solves
    more of the problems that API wrapping packages face.

Collection of functions to help retrieving data from
    'Hub'Eau' the free and public French National APIs on water
    <https://hubeau.eaufrance.fr/>.

Provides functions to access data from the US Department of Housing and Urban Development <https://www.huduser.gov/portal/dataset/fmr-api.html>.

Creating effective colour palettes for figures is 
    challenging. This package generates and plot palettes of optimally 
    distinct colours in perceptually uniform colour space, based on 
    'iwanthue' <http://tools.medialab.sciences-po.fr/iwanthue/>. 
    This is done through k-means clustering of CIE Lab colour space, 
    according to user-selected constraints on hue, chroma, and 
    lightness.