https://github.com/s-u/Rserve
Fast, flexible and powerful server providing access to R from many languages and systems
https://github.com/s-u/Rserve
Last synced: 13 days ago
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Fast, flexible and powerful server providing access to R from many languages and systems
- Host: GitHub
- URL: https://github.com/s-u/Rserve
- Owner: s-u
- License: other
- Created: 2013-07-25T01:51:09.000Z (almost 12 years ago)
- Default Branch: master
- Last Pushed: 2024-08-13T00:03:20.000Z (9 months ago)
- Last Synced: 2024-08-14T01:55:38.059Z (9 months ago)
- Language: C
- Homepage: http://RForge.net/Rserve
- Size: 2.29 MB
- Stars: 278
- Watchers: 33
- Forks: 65
- Open Issues: 26
-
Metadata Files:
- Readme: README.md
- Changelog: NEWS
- License: LICENSE
Awesome Lists containing this project
- awesome-repositories - s-u/Rserve - Fast, flexible and powerful server providing access to R from many languages and systems (C)
README
# Rserve
## Fast, flexible and powerful server providing access to R from many languages and systems
[](https://cran.r-project.org/package=Rserve)
[](https://RForge.net/Rserve)
[](https://github.com/s-u/Rserve/actions)
To install the CRAN version, use simply
```
install.packages("Rserve")
```
For installation of the latest development version, use
```
install.packages("Rserve", repo="https://rforge.net")
```
Please see the [main Rserve website](https://rforge.net/Rserve/) for documentation, examples and details. Additional information is also available on the [Rserve Wiki](https://github.com/s-u/Rserve/wiki).
Rserve supports native QAP1 protocol, HTTP and WebSockets. All protocols are also available over TLS/SSL. A reverse proxy is also included for mapping HTTP/WebSockets traffic to local unix sockets for security (unix only).
For building REST APIs based on Rserve see [RestRserve](https://restrserve.org/), for web-scripting see [FastRWeb](https://rforge.net/FastRWeb/), for interactive applications see [RCloud](https://rcloud.social/) and [Rserve-js](https://github.com/att/rserve-js).
Note: Although it is possible to use Rserve on Windows, it is strongly discouraged (other than for toy/single-user applications), because the Windows operating system is severly limited and is not capable of using R in parallel (it lacks copy-on-write fork).