diff --git a/README.md b/README.md
index 82a5a08..2e7a921 100644
--- a/README.md
+++ b/README.md
@@ -3,7 +3,7 @@
 [![build](https://github.com/delftdata/valentine/actions/workflows/build.yml/badge.svg)](https://github.com/delftdata/valentine/actions/workflows/build.yml)
 [![codecov](https://codecov.io/gh/delftdata/valentine/branch/master/graph/badge.svg?token=4QR0X315CL)](https://codecov.io/gh/delftdata/valentine)
 [![PyPI version](https://badge.fury.io/py/valentine.svg)](https://badge.fury.io/py/valentine)
-[![Python 3.7+](https://img.shields.io/badge/python-3.7|3.8|3.9|3.10-blue.svg)](https://www.python.org/downloads/release/python-380/)
+[![Python 3.8+](https://img.shields.io/badge/python-3.8|3.9|3.10|3.11-blue.svg)](https://www.python.org/downloads/release/python-380/)
 
 A python package for capturing potential relationships among columns of different tabular datasets, which are given in the form of pandas DataFrames. Valentine is based on [Valentine: Evaluating Matching Techniques for Dataset Discovery](https://ieeexplore.ieee.org/abstract/document/9458921)
 
@@ -17,7 +17,7 @@ The original experimental suite version of Valentine, as first published for the
 ## Installation instructions
 ### Requirements
 
-* *Python* >=3.7,<3.11
+* *Python* >=3.8,<3.12
 * *Java*: For the Coma matcher it is required to have java (jre) installed
 
 To install Valentine simply run:
diff --git a/setup.py b/setup.py
index 0d0e147..c9d6612 100755
--- a/setup.py
+++ b/setup.py
@@ -6,7 +6,7 @@
 
 setuptools.setup(
     name='valentine',
-    version='0.1.4',
+    version='0.1.5',
     description='Valentine Matcher',
     license_files=('LICENSE',),
     author='Delft Data',
@@ -14,7 +14,7 @@
     maintainer='Delft Data',
     maintainer_email='delftdatasystems@gmail.com',
     url='https://delftdata.github.io/valentine/',
-    download_url='https://github.com/delftdata/valentine/archive/refs/tags/v0.1.4.tar.gz',
+    download_url='https://github.com/delftdata/valentine/archive/refs/tags/v0.1.5.tar.gz',
     packages=setuptools.find_packages(exclude=('tests*', 'examples*')),
     install_requires=[
         'numpy>=1.22,<2.0',