A python wrapper for Java Modelling Tools (JMT)
Project description
pyJMT
The pyJMT package is a Python wrapper for the Java Modelling Tools (JMT) suite, which is used for performance evaluation of systems using queueing network models. Using this tool one can model and simulate different networks in python.
A short getting started guide along with installation instructions can be found on GitHub, with full documentation available here.
Working on pyJMT:
The project can be found on GitHub
To build the documentation locally, in the docs directory run make html
then open index.html
The documentation will automatically be built and uploaded to the github pages website on push.
To push changes to the package on PyPi, change the version number in conf.py and setup.py, then run the following commands.
python setup.py sdist bdist_wheel
twine upload dist/*
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file pyJMT-0.1.4.tar.gz
.
File metadata
- Download URL: pyJMT-0.1.4.tar.gz
- Upload date:
- Size: 21.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.6
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | b208f32e2feeecd3d90f131f97c037557e39b32352093f392acf792210db91ee |
|
MD5 | d8f02bfcbe74d690447dc84039ba23d5 |
|
BLAKE2b-256 | e5b63ff5eee71db0b6c86dc490b91e0216957898cbc268b2a921f966a167db0b |
File details
Details for the file pyJMT-0.1.4-py3-none-any.whl
.
File metadata
- Download URL: pyJMT-0.1.4-py3-none-any.whl
- Upload date:
- Size: 18.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.6
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | ff600f5eacf1febf9bdd972f46f8c813a4e6fcc312fb7e0d58e16caec1ee5000 |
|
MD5 | 9ad5f83fd43ddb9adac6229fe1ea5333 |
|
BLAKE2b-256 | 35eb4e66a6588d49bd5713704ec67096f0deef0dfc90e9ce94785f36de863c8f |