diff --git a/hypertools/_shared/helpers.py b/hypertools/_shared/helpers.py
index 6bbb1464..5d4db629 100644
--- a/hypertools/_shared/helpers.py
+++ b/hypertools/_shared/helpers.py
@@ -42,11 +42,11 @@ def group_by_category(vals):
     return [val_set.index(val) for val in vals]
 
 
-def vals2colors(vals, cmap='GnBu_d',res=100):
+def vals2colors(vals, cmap='GnBu',res=100):
     """Maps values to colors
     Args:
     values (list or list of lists) - list of values to map to colors
-    cmap (str) - color map (default is 'husl')
+    cmap (str) - color map (default is 'GnBu')
     res (int) - resolution of the color map (default: 100)
     Returns:
     list of rgb tuples
diff --git a/hypertools/config.py b/hypertools/config.py
index 22049ab2..63af8876 100644
--- a/hypertools/config.py
+++ b/hypertools/config.py
@@ -1 +1 @@
-__version__ = "0.6.2"
+__version__ = "0.6.3"
diff --git a/requirements.txt b/requirements.txt
index a07a7b5c..0671409a 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -5,8 +5,8 @@ seaborn>=0.8.1
 matplotlib>=1.5.1
 scipy>=1.0.0
 numpy>=1.10.4
+umap-learn>=0.4.6
 future
 requests
 deepdish
-six
-# also requires umap-learn. However, due to a recent bug fix that has not been released on PyPI yet, umap-learn is installed from GitHub in setup.py
+six
\ No newline at end of file
diff --git a/setup.py b/setup.py
index 075d2ae8..092eb3d6 100644
--- a/setup.py
+++ b/setup.py
@@ -5,21 +5,11 @@
 from setuptools import setup, find_packages
 from setuptools.command.install import install
 
-os.environ["MPLCONFIGDIR"] = "."
-
-
-class PostInstall(install):
-    github_pkg = 'https://api.github.com/repos/lmcinnes/umap/tarball/5f9488a9540d1e0ac149e2dd42ebf03c39706110#egg=umap_learn'
-
-    def run(self):
-        install.run(self)
-        output = subprocess.run([sys.executable, '-m', 'pip', 'install', self.github_pkg],
-                                stdout=subprocess.PIPE)
-        print(output.stdout.decode('utf-8'))
 
+os.environ["MPLCONFIGDIR"] = "."
 
 NAME = 'hypertools'
-VERSION = '0.6.2'
+VERSION = '0.6.3'
 AUTHOR = 'Contextual Dynamics Lab'
 AUTHOR_EMAIL = 'contextualdynamics@gmail.com'
 URL = 'https://github.com/ContextLab/hypertools'
@@ -51,16 +41,13 @@ def run(self):
     'Programming Language :: Python :: 3.5',
     'Programming Language :: Python :: 3.6',
     'Programming Language :: Python :: 3.7',
+    'Programming Language :: Python :: 3.8',
     'Topic :: Scientific/Engineering :: Visualization',
     'Topic :: Multimedia :: Graphics',
     'Operating System :: POSIX',
     'Operating System :: Unix',
     'Operating System :: MacOS'
 ]
-CMDCLASS = {
-    'install': PostInstall
-}
-
 
 setup(
     name=NAME,
@@ -75,6 +62,5 @@ def run(self):
     python_requires=REQUIRES_PYTHON,
     packages=PACKAGES,
     install_requires=REQUIREMENTS,
-    classifiers=CLASSIFIERS,
-    cmdclass=CMDCLASS,
+    classifiers=CLASSIFIERS
 )
diff --git a/tests/test_helpers.py b/tests/test_helpers.py
index 10973e89..463ce541 100644
--- a/tests/test_helpers.py
+++ b/tests/test_helpers.py
@@ -17,11 +17,11 @@ def test_group_by_category_str():
 
 
 def test_vals2colors_list():
-    assert np.allclose(helpers.vals2colors([0, .5, 1]),[(0.2009432271103454, 0.20707420255623613, 0.20941176489287733), (0.23065488108622481, 0.4299115830776738, 0.50588235901851286), (0.26537486525142889, 0.65373320018543912, 0.79918494084302116)])
+    assert np.allclose(helpers.vals2colors([0, .5, 1]),[(0.9629680891964629, 0.9860207612456747, 0.9360092272202999), (0.7944636678200693, 0.9194156093810073, 0.7700884275278739), (0.4740484429065744, 0.7953863898500577, 0.7713956170703576)])
 
 
 def test_vals2colors_list_of_lists():
-    assert np.allclose(helpers.vals2colors([[0],[.5],[1]]),[(0.2009432271103454, 0.20707420255623613, 0.20941176489287733), (0.23065488108622481, 0.4299115830776738, 0.50588235901851286), (0.26537486525142889, 0.65373320018543912, 0.79918494084302116)])
+    assert np.allclose(helpers.vals2colors([[0],[.5],[1]]),[(0.9629680891964629, 0.9860207612456747, 0.9360092272202999), (0.7944636678200693, 0.9194156093810073, 0.7700884275278739), (0.4740484429065744, 0.7953863898500577, 0.7713956170703576)])
 
 
 def test_vals2bins():