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diff --git a/var/spack/repos/builtin/packages/py-dh-scikit-optimize/package.py b/var/spack/repos/builtin/packages/py-dh-scikit-optimize/package.py
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+# Copyright 2013-2021 Lawrence Livermore National Security, LLC and other
+# Spack Project Developers. See the top-level COPYRIGHT file for details.
+#
+# SPDX-License-Identifier: (Apache-2.0 OR MIT)
+
+from spack import *
+
+
+class PyDhScikitOptimize(PythonPackage):
+    """A Modified version of scikit-optimize a Sequential model-based
+       optimization toolbox for DeepHyper.
+       Scikit-Optimize, or skopt, is a simple and efficient library to
+       minimize (very) expensive and noisy black-box functions. It implements
+       several methods for sequential model-based optimization. skopt aims to
+       be accessible and easy to use in many contexts.
+
+       The library is built on top of NumPy, SciPy and Scikit-Learn."""
+
+    maintainers = ['Kerilk']
+
+    homepage = "https://github.com/deephyper/scikit-optimize"
+    pypi     = "dh-scikit-optimize/dh-scikit-optimize-0.9.0.tar.gz"
+
+    version('0.9.0', sha256='fe70aa57ec5150a3d356b2184f0dda1ecc4ecb7e82d35edac3980094d409d676')
+
+    variant('plots', default=False,
+            description='Build with plot support from py-matplotlib')
+
+    depends_on('python@3.6:', type=('build', 'run'))
+    depends_on('py-setuptools', type='build')
+    depends_on('py-joblib@0.11:', type=('build', 'run'))
+    depends_on('py-pyaml@16.9:', type=('build', 'run'))
+    depends_on('py-numpy@1.13.3:', type=('build', 'run'))
+    depends_on('py-scipy@0.19.1:', type=('build', 'run'))
+    depends_on('py-scikit-learn@0.20.0:', type=('build', 'run'))
+    depends_on('py-configspace@0.4.20:', type=('build', 'run'))
+
+    depends_on('py-matplotlib@2.0.0:',   when='+plots', type='run')