This is primarily a bugfix release. The main new features are clipping
support for canvas figures, reporting of configuration entries that have no
effect (useful e.g. when porting models to a new version of a model library),
and the ability of the NED documentation generator to link to the separately
generated documentation of referenced projects and to produce PNG images. The
main bugfix areas are the correctness of recorded and analyzed results (units
of count scalars, field scalars and dB; warm-up period handling), WATCH() and
inspector display, connection drawing in Qtenv, rendering in the graphical NED
editor, and matplotlib and Pandas compatibility in the Analysis Tool and the
Python library.
Issues fixed in version 6.5.0.
Read the What’s New page for more details.
We recommend using the opp_env package manager to install OMNeT++ and other models and frameworks.
opp_env install omnetpp-6.5.0We recommend using the opp_env package manager to install OMNeT++ and other models and frameworks.
Use the install.sh script in the root directory of the archive to install dependencies and build OMNeT++.
Supported: Ubuntu, Debian, Fedora, openSUSE Leap, Arch Linux, AlmaLinux and other similar distros.
Use the install.sh script in the root directory of the archive to install dependencies and build OMNeT++.
Supported: Ubuntu, Debian, Fedora, openSUSE Leap, Arch Linux, AlmaLinux and other similar distros.
RECOMMENDED: This is a Windows Subsystem for Linux (WSL2) image containing opp_env which lets you easily install
any version of OMNeT++ and its dependencies (and a lot of other 3rd-party models and frameworks).
Just download and start the image file. As long as you have WSL 2.4.4 or later on your machine, it will
automatically install opp_env. On the first run, choose ‘manual installation’ and then install the OMNeT++
with opp_env install omnetpp-6.5.0.
This is a version of OMNeT++ built with MinGW. A snapshot of MinGW64 toolchain is bundled with this archive.
Because of Msys posix emulation and NTFS filesystem limitations, this version is a LOT slower for development than the
Linux or macOS versions. You will get much better performance if you use WSL2 (https://github.com/microsoft/WSL) and
install the Linux version. Or even better, use opp_env.wsl to install opp_env directly on WSL2.
We recommend using the opp_env package manager to install OMNeT++ and other models and frameworks.
OMNeT++ requires a properly installed version of Xcode Command Line Tools and Homebrew (https://brew.sh/).
Use the install.sh script in the root directory of the archive to install dependencies and build OMNeT++.
OMNeT++ requires a properly installed version of Xcode Command Line Tools and Homebrew (https://brew.sh/).
Use the install.sh script in the root directory of the archive to install dependencies and build OMNeT++.
(Use this version ONLY if you have an Intel based Mac computer. Do not use this version on an Apple
Silicon Mac with Rosetta 2.)
This is the architecture independent source version of OMNeT++. Useful for installing OMNeT++ on a system where no
IDE or GUI is required. Use the install.sh script in the root directory of the archive to install all dependencies
and build OMNeT++. To install without Qtenv support, use install.sh --no-gui.
Container images are available at the GitHub Container Registry.
To run in distrobox (recommended, GUI supported):
distrobox assemble create --file https://github.com/omnetpp/omnetpp/releases/download/omnetpp-6.5.0/omnetpp-6.5.0-distrobox.ini
To run a container with OMNeT++ (core version, no GUI):
docker run --rm -it -v "$(pwd):/root/models" -u "$(id -u):$(id -g)" ghcr.io/omnetpp/omnetpp:u26.04-6.5.0