Compare performance of basic use cases for two the most popular python libraries for Jenkins

test_jenkins_api.py

#!/usr/bin/python
from __future__ import absolute_import

import time

import jenkinsapi # python -m pip install jenkinsapi
import jenkins    # python -m pip install python-jenkins

jenksins_url= # i.e. "http://myjenkins"
login=
password=
job_name=

# http://pythonhosted.org/jenkinsapi/index.html
j1 = jenkinsapi.jenkins.Jenkins(jenkins_url, login, password, lazy=True)
# https://python-jenkins.readthedocs.io/en/latest/index.html
j2 = jenkins.Jenkins(jenkins_url, login, password)

for i in range(10):
    s = time.time()
    print("Version:", j1.version)
    print("Get version for jenkinsapi is done in:", time.time() - s, "s")
    s = time.time()
    print("Version:", j2.get_version())
    print("Get version for python-jenkins is done in:", time.time() - s, "s")
    s = time.time()
    print("Jenkins job config length is", len(j2.get_job_config(job_name)))
    print("Get config for python-jenkins is done in:", time.time() - s, "s")
    s = time.time()
    print("Jenkins job config length is", len(j1.get_job(job_name).get_config()))
    print("Get config for jenkinsapi is done in:", time.time() - s, "s")