diff --git a/optional_requirements.txt b/optional_requirements.txt
new file mode 100644
index 0000000..a3298be
--- /dev/null
+++ b/optional_requirements.txt
@@ -0,0 +1 @@
+mpi4py==3.0.2
\ No newline at end of file
diff --git a/requirements.txt b/requirements.txt
index 57039c2..2c5bae8 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,13 +1,12 @@
 hyperopt>=0.1.2
 matplotlib>=3.0.3
-mpi4py[MPI]==3.0.2
 numpy>=1.16.2
 optuna>=0.9.0
 Optunity>=1.1.1
 pandas>=0.24.2
 pytest>=4.3.1
 scikit-learn>=0.20.3
 scipy>=1.2.1
 visdom>=0.1.8.8
 xmlrunner>=1.7.7
 Sphinx>=1.8.3
\ No newline at end of file
diff --git a/setup.py b/setup.py
index d7c3f18..d1d3753 100644
--- a/setup.py
+++ b/setup.py
@@ -1,54 +1,52 @@
 import os
 from setuptools import setup, find_packages
 
 with open('README.md') as f:
     readme = f.read()
 
 with open('LICENSE') as f:
     license = f.read()
 
 VERSION = "0.5.0.8"
 
 ROOT = os.path.dirname(os.path.realpath(__file__))
 
 new_init = []
 with open(os.path.join(ROOT, *("hyppopy", "__init__.py")), "r") as infile:
 	for line in infile:
 		new_init.append(line)
 for n in range(len(new_init)):
 	if new_init[n].startswith("__version__"):
 		split = line.split("=")
 		new_init[n] = "__version__ = '" + VERSION + "'\n"
 with open(os.path.join(ROOT, *("hyppopy", "__init__.py")), "w") as outfile:
 	outfile.writelines(new_init)
 
 
 setup(
     name='hyppopy',
     version=VERSION,
     description='Hyper-Parameter Optimization Toolbox for Blackboxfunction Optimization',
     long_description=readme,
     # if you want, put your own name here
     # (this would likely result in people sending you emails)
-    author='Sven Wanner',
-    author_email='s.wanner@dkfz.de',
-    url='',
+    author='MIC @ DKFZ',
+    author_email='',
+    url='https://github.com/MIC-DKFZ/Hyppopy',
     license=license,
     packages=find_packages(exclude=('tests', 'doc')),
-    # the requirements to install this project.
-    # Since this one is so simple this is empty.
     install_requires=[
 		'bayesian-optimization>=1.0.1',
 		'hyperopt>=0.1.2',
 		'matplotlib>=3.0.3',
 		'numpy>=1.16.2',
 		'optuna>=0.9.0',
 		'Optunity>=1.1.1',
 		'pandas>=0.24.2',
 		'pytest>=4.3.1',
 		'scikit-learn>=0.20.3',
 		'scipy>=1.2.1',
 		'visdom>=0.1.8.8'
 	],
 )