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R binding for NNG (Nanomsg Next Gen), a successor to ZeroMQ. NNG is a socket library implementing ‘Scalability Protocols’, a reliable, high-performance standard for common communications patterns including publish/subscribe, request/reply and service discovery, over in-process, IPC, TCP, WebSocket and secure TLS transports.

As its own threaded concurrency framework, provides a toolkit for asynchronous programming and distributed computing, with intuitive ‘aio’ objects which resolve automatically upon completion of asynchronous operations, and synchronisation primitives allowing R to wait upon events signalled by concurrent threads.

Designed for performance and reliability, nanonext is a lightweight wrapper around the NNG C library, and is itself implemented almost entirely in C.

Provides the interface for code and processes to communicate with each other - receive data generated in Python, perform analysis in R, and send results to a C++ program – on the same computer or across networks spanning the globe.

Implemented scalability protocols:

Supported transports:

Development of the TLS implementation was generously supported by the R Consortium .

Web utilities:

Quick Start

nanonext offers 2 equivalent interfaces: a functional interface, and an object-oriented interface.

Functional Interface

The primary object in the functional interface is the Socket. Use socket() to create a socket and dial or listen at an address. The socket is then passed as the first argument of subsequent actions such as send() or recv().

Example using Request/Reply (REQ/REP) protocol with inproc transport:
(The inproc transport uses zero-copy where possible for a much faster solution than alternatives)

Create sockets:


socket1 <- socket("req", listen = "inproc://nanonext")
socket2 <- socket("rep", dial = "inproc://nanonext")

Send message from ‘socket1’:

send(socket1, "hello world!")
#> [1] 0

Receive message using ‘socket2’:

#> [1] "hello world!"

Object-oriented Interface

The primary object in the object-oriented interface is the nano object. Use nano() to create a nano object which encapsulates a Socket and Dialer/Listener. Methods such as $send() or $recv() can then be accessed directly from the object.

Example using Pipeline (Push/Pull) protocol with TCP/IP transport:

Create nano objects:


nano1 <- nano("push", listen = "tcp://")
nano2 <- nano("pull", dial = "tcp://")

Send message from ‘nano1’:

nano1$send("hello world!")
#> [1] 0

Receive message using ‘nano2’:

#> [1] "hello world!"


Please refer to the nanonext vignette for full package functionality.

This may be accessed within R by:

vignette("nanonext", package = "nanonext")


Install the latest release from CRAN or R-multiverse:


The current development version is available from R-universe:

install.packages("nanonext", repos = "")

Building from Source

Linux / Mac / Solaris

Installation from source requires ‘libnng’ >= v1.6.0 and ‘libmbedtls’ >= 2.5.0 (suitable installations are automatically detected), or else ‘cmake’ to compile ‘libnng’ v1.8.0 (patched) and ‘libmbedtls’ v3.5.2 included within the package sources.

It is recommended for optimal performance and stability to let the package automatically compile bundled versions of ‘libmbedtls’ and ‘libnng’ during installation. To ensure the libraries are compiled from source even if system installations are present, set the NANONEXT_LIBS environment variable prior to installation e.g. by Sys.setenv(NANONEXT_LIBS = 1).

As system libraries, ‘libnng’ is available as libnng-dev (deb) or nng-devel (rpm), and ‘libmbedtls’ as libmbedtls-dev (deb) or libmbedtls-devel (rpm). The INCLUDE_DIR and LIB_DIR environment variables may be set prior to package installation to specify a custom location for ‘libmbedtls’ or ‘libnng’ other than the standard filesystem locations.

Additional requirements for Solaris: (i) the ‘xz’ package - available on OpenCSW, and (ii) a more recent version of ‘cmake’ than available on OpenCSW - refer to the ‘cmake’ website for the latest source file.


For R >= 4.2 using the ‘Rtools42’ or newer toolchains, ‘libnng’ v1.8.0 (patched) and ‘libmbedtls’ v3.5.2 will be automatically compiled from the package sources during installation.

For previous R versions, pre-compiled ‘libnng’ v1.8.0 (patched) and ‘libmbedtls’ v3.5.2 libraries are downloaded and used for installation instead.

We would like to acknowledge in particular:


◈ nanonext R package:

nanonext is listed in CRAN Task Views:

Mbed TLS:

Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.