diff --git a/MANIFEST.in b/MANIFEST.in
index eeb4dd5c0f6f9b91c8ceaa68179c33f9a8b31ec7..4ca3ac924c3472e711b3fd26adbba5ea5d45fc61 100755
--- a/MANIFEST.in
+++ b/MANIFEST.in
@@ -3,6 +3,6 @@ include *.rst
 include VERSION
 recursive-include doc *.rst *.py *.ipynb
 
-include pomad/tests/*.py
+include skpomade/tests/*.py
 
 prune doc/build
diff --git a/README.rst b/README.rst
index 51fc57a947639ab7b6a0440442c14d56730585a6..b5ebb23d0c4174e1469ffd07aacc1316a520cedb 100755
--- a/README.rst
+++ b/README.rst
@@ -1,7 +1,7 @@
-pomad
+skpomade
 =====
 
-pomad: PrObabilistic MAtrix Decompositions from Halko et al., 2011
+skpomade: PrObabilistic MAtrix DEcompositions from Halko et al., 2011
 
 Python implementation of algorithms from paper *Finding Structure
 with Randomness: Probabilistic Algorithms for Constructing Approximate Matrix
@@ -14,32 +14,32 @@ Install
 
 Install the current release with ``pip``::
 
-    pip install pomad
+    pip install skpomade
 
 For additional details, see doc/install.rst.
 
 Usage
 -----
 
-See the `documentation <http://valentin.emiya.pages.lis-lab.fr/pomad/>`_.
+See the `documentation <http://valentin.emiya.pages.lis-lab.fr/skpomade/>`_.
 
 Bugs
 ----
 
-Please report any bugs that you find through the `pomad GitLab project
-<https://gitlab.lis-lab.fr/valentin.emiya/pomad/issues>`_.
+Please report any bugs that you find through the `skpomade GitLab project
+<https://gitlab.lis-lab.fr/valentin.emiya/skpomade/issues>`_.
 
 You can also fork the repository and create a merge request.
 
 Source code
 -----------
 
-The source code of pomad is available via its `GitLab project
-<https://gitlab.lis-lab.fr/valentin.emiya/pomad>`_.
+The source code of skpomade is available via its `GitLab project
+<https://gitlab.lis-lab.fr/valentin.emiya/skpomade>`_.
 
 You can clone the git repository of the project using the command::
 
-    git clone git@gitlab.lis-lab.fr:valentin.emiya/pomad.git
+    git clone git@gitlab.lis-lab.fr:valentin.emiya/skpomade.git
 
 Copyright © 2019-2020
 ---------------------
diff --git a/VERSION b/VERSION
index bc3b4510f0db0ad8f54e8fa248d9f96b96819b2b..2d08e70e49ab5cf35a9566c9b1d919e51a817016 100755
--- a/VERSION
+++ b/VERSION
@@ -1 +1 @@
-pomad:0.1.3
+skpomade:0.1.3
diff --git a/doc/README.md b/doc/README.md
index 3e0fe42f7d7aa23f0c62322c7d65714645f27a53..56b1fb8f2c0dec57af16afe39317718d2dbd17c2 100755
--- a/doc/README.md
+++ b/doc/README.md
@@ -1,12 +1,12 @@
 If you only want to get the documentation, note that a pre-built
 version for the latest release is available
-[online](http://valentin.emiya.pages.lis-lab.fr/pomad/).
+[online](http://valentin.emiya.pages.lis-lab.fr/skpomade/).
 
 Sphinx is used to generate the API and reference documentation.
 
 ## Instructions to build the documentation
 
-In addition to installing ``pomad`` and its dependencies, install the
+In addition to installing ``skpomade`` and its dependencies, install the
 Python packages needed to build the documentation by entering
 
 ```
diff --git a/doc/_notebooks/pomad.ipynb b/doc/_notebooks/pomad.ipynb
index 950b15439c8572bc2cc5a4358eeea204392c8d45..34b55144c04c4fb1f680f4aa34450a6966389e43 100755
--- a/doc/_notebooks/pomad.ipynb
+++ b/doc/_notebooks/pomad.ipynb
@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Tutorial for `pomad`:  PrObabilistic MAtrix Decompositions"
+    "# Tutorial for `skpomade`:  PrObabilistic MAtrix DEcompositions"
    ]
   },
   {
@@ -52,8 +52,8 @@
    },
    "outputs": [],
    "source": [
-    "from pomad.utils import build_test_matrix\n",
-    "from pomad.range_approximation import randomized_range_finder, adaptive_randomized_range_finder"
+    "from skpomade.utils import build_test_matrix\n",
+    "from skpomade.range_approximation import randomized_range_finder, adaptive_randomized_range_finder"
    ]
   },
   {
@@ -182,8 +182,17 @@
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
    "version": "3.6.2"
+  },
+  "pycharm": {
+   "stem_cell": {
+    "cell_type": "raw",
+    "source": [],
+    "metadata": {
+     "collapsed": false
+    }
+   }
   }
  },
  "nbformat": 4,
  "nbformat_minor": 2
-}
+}
\ No newline at end of file
diff --git a/doc/conf.py b/doc/conf.py
index addf02bcb697a696b567ecc3206e9c24b78a5a7c..edd5aa36c51d36be48e93bd3841ec0bb3b0f2579 100755
--- a/doc/conf.py
+++ b/doc/conf.py
@@ -5,12 +5,12 @@ import os
 
 from datetime import date
 
-import pomad
+import skpomade
 
 # If extensions (or modules to document with autodoc) are in another directory,
 # add these directories to sys.path here. If the directory is relative to the
 # documentation root, use os.path.abspath to make it absolute, like shown here.
-sys.path.insert(0, os.path.abspath('../pomad/'))
+sys.path.insert(0, os.path.abspath('../skpomade/'))
 
 # -- General configuration ------------------------------------------------
 
@@ -46,7 +46,7 @@ source_encoding = 'utf-8-sig'
 master_doc = 'index'
 
 # General information about the project.
-project = 'pomad'
+project = 'skpomade'
 author = 'V. Emiya'
 copyright = '2019-{}, {}'.format(date.today().year, author)
 
@@ -55,9 +55,9 @@ copyright = '2019-{}, {}'.format(date.today().year, author)
 # built documents.
 #
 # The short X.Y version.
-version = pomad.__version__
+version = skpomade.__version__
 # The full version, including alpha/beta/rc tags.
-release = pomad.__version__.replace('_', '')
+release = skpomade.__version__.replace('_', '')
 
 # The language for content autogenerated by Sphinx. Refer to documentation
 # for a list of supported languages.
@@ -193,7 +193,7 @@ html_search_options = {'type': 'default'}
 html_search_scorer = ''
 
 # Output file base name for HTML help builder.
-htmlhelp_basename = 'pomaddoc'
+htmlhelp_basename = 'skpomadedoc'
 
 # -- Options for LaTeX output ---------------------------------------------
 
@@ -215,7 +215,7 @@ latex_elements = {
 # (source start file, target name, title,
 #  author, documentclass [howto, manual, or own class]).
 latex_documents = [
-    (master_doc, 'pomad.tex', 'pomad Documentation', author, 'manual'),
+    (master_doc, 'skpomade.tex', 'skpomade Documentation', author, 'manual'),
 ]
 
 # The name of an image file (relative to this directory) to place at the top of
@@ -242,7 +242,7 @@ latex_domain_indices = True
 
 # One entry per manual page. List of tuples
 # (source start file, name, description, authors, manual section).
-man_pages = [(master_doc, 'pomad', 'pomad Documentation', [author], 1)]
+man_pages = [(master_doc, 'skpomade', 'skpomade Documentation', [author], 1)]
 
 # If true, show URL addresses after external links.
 man_show_urls = False
@@ -253,7 +253,7 @@ man_show_urls = False
 # (source start file, target name, title, author,
 #  dir menu entry, description, category)
 texinfo_documents = [
-    (master_doc, 'pomad.tex', 'pomad Documentation', author, 'manual'),
+    (master_doc, 'skpomade.tex', 'skpomade Documentation', author, 'manual'),
 ]
 
 # Documents to append as an appendix to all manuals.
diff --git a/doc/copyright.rst b/doc/copyright.rst
index f786f661cb3d829f08cf1e4866ba994a228944e8..b59acfedeeda09d2b7672cd2283673a77dda6279 100755
--- a/doc/copyright.rst
+++ b/doc/copyright.rst
@@ -20,7 +20,7 @@ and Ronan Hamon on other packages.
 Description
 -----------
 
-`pomad` is a Python implementation of algorithms from
+`skpomade` is a Python implementation of algorithms from
 paper *Finding Structure with Randomness: Probabilistic Algorithms for
 Constructing Approximate Matrix Decompositions*, by N. Halko, P. G.
 Martinsson and J. A. Tropp, SIAM review, 53 (2), 2011, https://arxiv.org/abs/0909.4061.
@@ -29,7 +29,7 @@ Martinsson and J. A. Tropp, SIAM review, 53 (2), 2011, https://arxiv.org/abs/090
 Version
 -------
 
-* pomad version = 0.1.3
+* skpomade version = 0.1.3
 
 Licence
 -------
diff --git a/doc/index.rst b/doc/index.rst
index 9e42c85078a998c4993d055773df6544f5f09446..1fd54ccb0e2602d32dc060dc621d7b27401cfcda 100755
--- a/doc/index.rst
+++ b/doc/index.rst
@@ -1,20 +1,20 @@
 ##########################
-:mod:`pomad` documentation
+:mod:`skpomade` documentation
 ##########################
 
 Overview
 ========
-:mod:`pomad`: stands for PrObabilistic MAtrix Decompositions.
+:mod:`skpomade`: stands for PrObabilistic MAtrix DEcompositions.
 
-Package :mod:`pomad` offers a Python implementation of algorithms from
+Package :mod:`skpomade` offers a Python implementation of algorithms from
 paper *Finding Structure with Randomness: Probabilistic Algorithms for
 Constructing Approximate Matrix Decompositions*, by N. Halko, P. G.
 Martinsson and J. A. Tropp, SIAM review, 53 (2), 2011, https://arxiv.org/abs/0909.4061.
 
-:mod:`pomad`: is mainly composed of two sub-modules:
+:mod:`skpomade`: is mainly composed of two sub-modules:
 
-* :mod:`pomad.range_approximation` contains algorithms for Stage A Randomized Schemes for Approximating the Range
-* :mod:`pomad.factorization_construction` contains algorithms for Stage B Construction of Standard Factorizations
+* :mod:`skpomade.range_approximation` contains algorithms for Stage A Randomized Schemes for Approximating the Range
+* :mod:`skpomade.factorization_construction` contains algorithms for Stage B Construction of Standard Factorizations
 
 Not all algorithms have been implemented yet.
 
diff --git a/doc/installation.rst b/doc/installation.rst
index 24d8496b2ff78418e5289b720ca992c3c7cb5656..5e4a46ce927849d7291e6f499f5b70903f33a299 100755
--- a/doc/installation.rst
+++ b/doc/installation.rst
@@ -1,13 +1,13 @@
 Installation
 ############
 
-``pomad`` requires the following packages:
+``skpomade`` requires the following packages:
 
 * `python >= 3.5 <https://wiki.python.org/moin/BeginnersGuide/Download>`_
 * `numpy >= 1.13 <http://www.numpy.org>`_
 
 Make sure your Python environment is properly configured. It is recommended to
-install ``pomad`` in a virtual environment.
+install ``skpomade`` in a virtual environment.
 
 Release version
 ---------------
@@ -18,20 +18,20 @@ manager) installed. If you do not, refer to the `Pip documentation
 
 Install the current release with ``pip``::
 
-    pip install pomad
+    pip install skpomade
 
 To upgrade to a newer release use the ``--upgrade`` flag::
 
-    pip install --upgrade pomad
+    pip install --upgrade skpomade
 
 If you do not have permission to install software systemwide, you can install
 into your user directory using the ``--user`` flag::
 
-    pip install --user pomad
+    pip install --user skpomade
 
-Alternatively, you can manually download ``pomad`` from its `GitLab project
-<https://gitlab.lis-lab.fr/valentin.emiya/pomad>`_  or `PyPI
-<https://pypi.python.org/pypi/pomad>`_.  To install one of these versions,
+Alternatively, you can manually download ``skpomade`` from its `GitLab project
+<https://gitlab.lis-lab.fr/valentin.emiya/skpomade>`_  or `PyPI
+<https://pypi.python.org/pypi/skpomade>`_.  To install one of these versions,
 unpack it and run the following from the top-level source directory using the
 Terminal::
 
@@ -41,17 +41,17 @@ Development version
 -------------------
 
 If you have `Git <https://git-scm.com/>`_ installed on your system, it is also
-possible to install the development version of ``pomad``.
+possible to install the development version of ``skpomade``.
 
 Before installing the development version, you may need to uninstall the
-standard version of ``pomad`` using ``pip``::
+standard version of ``skpomade`` using ``pip``::
 
-    pip uninstall pomad
+    pip uninstall skpomade
 
 Clone the Git repository::
 
-    git clone git@gitlab.lis-lab.fr:valentin.emiya/pomad.git
-    cd pomad
+    git clone git@gitlab.lis-lab.fr:valentin.emiya/skpomade.git
+    cd skpomade
 
 You may also need to install required packages::
 
@@ -61,7 +61,7 @@ Then execute ``pip`` with flag ``-e`` to follow the development branch::
 
     pip install -e .
 
-To update ``pomad`` at any time, in the same directory do::
+To update ``skpomade`` at any time, in the same directory do::
 
     git pull
 
diff --git a/doc/references.rst b/doc/references.rst
index e3d591d684ed064ef03d4c5ca521ae95e6d74fb0..94b34d8eb6a25814a5a9fc1b28aaec0896553761 100755
--- a/doc/references.rst
+++ b/doc/references.rst
@@ -4,26 +4,26 @@ References
     :Release: |release|
     :Date: |today|
 
-pomad\.factorization_construction module
+skpomade\.factorization_construction module
 ----------------------------------------
 
-.. automodule:: pomad.factorization_construction
+.. automodule:: skpomade.factorization_construction
     :members:
     :undoc-members:
     :show-inheritance:
 
-pomad\.range_approximation module
+skpomade\.range_approximation module
 ---------------------------------
 
-.. automodule:: pomad.range_approximation
+.. automodule:: skpomade.range_approximation
     :members:
     :undoc-members:
     :show-inheritance:
 
-pomad\.utils module
+skpomade\.utils module
 -------------------
 
-.. automodule:: pomad.utils
+.. automodule:: skpomade.utils
     :members:
     :undoc-members:
     :show-inheritance:
diff --git a/doc/tutorials.rst b/doc/tutorials.rst
index 273e21d8106adde60380afb8aa378f5d475cefb5..debcec75433415a7e5d4c7a16ece3127fd443eb4 100755
--- a/doc/tutorials.rst
+++ b/doc/tutorials.rst
@@ -4,4 +4,4 @@ Tutorials
 .. toctree::
     :maxdepth: 1
 
-    _notebooks/pomad.ipynb
+    _notebooks/skpomade.ipynb
diff --git a/setup.cfg b/setup.cfg
index e793c6e647787d5d3f3d8d375ee260fe38040ac4..709d2abeee683cd347afb6942f883b5d45b8774a 100755
--- a/setup.cfg
+++ b/setup.cfg
@@ -1,15 +1,15 @@
 [tool:pytest]
-testpaths = pomad
+testpaths = skpomade
 addopts = --verbose
           --cov-report=term-missing
           --cov-report=html
-          --cov=pomad
+          --cov=skpomade
           --doctest-modules
 
 [coverage:run]
 branch = True
-source = pomad
-include = */pomad/*
+source = skpomade
+include = */skpomade/*
 omit = */tests/*
 
 [coverage:report]
diff --git a/setup.py b/setup.py
index 5eb9de6d28ae281064147d46052cdc8841c2ed2e..92f5c84cbdda42c96b8f50c022443f1fc0232677 100755
--- a/setup.py
+++ b/setup.py
@@ -23,7 +23,7 @@
 # Description
 # -----------
 #
-# `pomad` is a Python implementation of algorithms from
+# `skpomade` is a Python implementation of algorithms from
 # paper *Finding Structure with Randomness: Probabilistic Algorithms for
 # Constructing Approximate Matrix Decompositions*, by N. Halko, P. G.
 # Martinsson and J. A. Tropp, SIAM review, 53 (2), 2011, https://arxiv.org/abs/0909.4061.
@@ -32,7 +32,7 @@
 # Version
 # -------
 #
-# * pomad version = 0.1.3
+# * skpomade version = 0.1.3
 #
 # Licence
 # -------
@@ -56,8 +56,8 @@ import os
 from setuptools import setup, find_packages
 import sys
 
-NAME = 'pomad'
-DESCRIPTION = 'PrObabilistic MAtrix Decompositions from Halko et al., 2011'
+NAME = 'skpomade'
+DESCRIPTION = 'PrObabilistic MAtrix DEcompositions from Halko et al., 2011'
 LICENSE = 'GNU General Public License v3 (GPLv3)'
 URL = 'https://gitlab.lis-lab.fr/valentin.emiya/{}'.format(NAME)
 AUTHOR = 'Valentin Emiya'
diff --git a/pomad/__init__.py b/skpomade/__init__.py
similarity index 100%
rename from pomad/__init__.py
rename to skpomade/__init__.py
diff --git a/pomad/_dev_range_approximation.py b/skpomade/_dev_range_approximation.py
similarity index 98%
rename from pomad/_dev_range_approximation.py
rename to skpomade/_dev_range_approximation.py
index 823971c6299cff26e86b853372f490ebfdd30794..6cd502602b0afb268ecd727528cbd276a355264c 100755
--- a/pomad/_dev_range_approximation.py
+++ b/skpomade/_dev_range_approximation.py
@@ -22,7 +22,7 @@
 # Description
 # -----------
 #
-# `pomad` is a Python implementation of algorithms from
+# `skpomade` is a Python implementation of algorithms from
 # paper *Finding Structure with Randomness: Probabilistic Algorithms for
 # Constructing Approximate Matrix Decompositions*, by N. Halko, P. G.
 # Martinsson and J. A. Tropp, SIAM review, 53 (2), 2011, https://arxiv.org/abs/0909.4061.
@@ -31,7 +31,7 @@
 # Version
 # -------
 #
-# * pomad version = 0.1.3
+# * skpomade version = 0.1.3
 #
 # Licence
 # -------
@@ -303,7 +303,7 @@ def adaptive_randomized_range_finder_mem_alloc(a, tolerance, r=5,
 #     m, n, p_a = 100, 100, 2
 #     a_mat = build_test_matrix(m, n, p=p_a, rand_state=0)
 #     a_op = aslinearoperator(a_mat)
-#     from pomad.utils import FourierMultiplierOp
+#     from skpomade.utils import FourierMultiplierOp
 #     n = 123
 #     a_op = FourierMultiplierOp(n=n, p=30)
 #     a_mat = a_op @ np.eye(n)
diff --git a/pomad/factorization_construction.py b/skpomade/factorization_construction.py
similarity index 95%
rename from pomad/factorization_construction.py
rename to skpomade/factorization_construction.py
index e7110337285bce689ad7d5e0a4328a9dd5226af9..3a1e559a3060ad5afef2ae610d2553c07bfb6964 100755
--- a/pomad/factorization_construction.py
+++ b/skpomade/factorization_construction.py
@@ -22,7 +22,7 @@
 # Description
 # -----------
 #
-# `pomad` is a Python implementation of algorithms from
+# `skpomade` is a Python implementation of algorithms from
 # paper *Finding Structure with Randomness: Probabilistic Algorithms for
 # Constructing Approximate Matrix Decompositions*, by N. Halko, P. G.
 # Martinsson and J. A. Tropp, SIAM review, 53 (2), 2011, https://arxiv.org/abs/0909.4061.
@@ -31,7 +31,7 @@
 # Version
 # -------
 #
-# * pomad version = 0.1.3
+# * skpomade version = 0.1.3
 #
 # Licence
 # -------
@@ -115,9 +115,9 @@ def evd_nystrom(a, q_mat):
 
 # TODO refactor this code into nb
 # if __name__ == '__main__':
-#     from pomad.range_approximation import randomized_range_finder
+#     from skpomade.range_approximation import randomized_range_finder
 #     import matplotlib.pyplot as plt
-#     from pomad.utils import FourierMultiplierOp
+#     from skpomade.utils import FourierMultiplierOp
 #     print('Test evd with operator')
 #
 #     n = 53
diff --git a/pomad/range_approximation.py b/skpomade/range_approximation.py
similarity index 98%
rename from pomad/range_approximation.py
rename to skpomade/range_approximation.py
index b142c36de1969be0a290930f2a4001c4bc70716c..18f54e9f2065cfd68a2b2cff92fcf770eeda323d 100755
--- a/pomad/range_approximation.py
+++ b/skpomade/range_approximation.py
@@ -22,7 +22,7 @@
 # Description
 # -----------
 #
-# `pomad` is a Python implementation of algorithms from
+# `skpomade` is a Python implementation of algorithms from
 # paper *Finding Structure with Randomness: Probabilistic Algorithms for
 # Constructing Approximate Matrix Decompositions*, by N. Halko, P. G.
 # Martinsson and J. A. Tropp, SIAM review, 53 (2), 2011, https://arxiv.org/abs/0909.4061.
@@ -31,7 +31,7 @@
 # Version
 # -------
 #
-# * pomad version = 0.1.3
+# * skpomade version = 0.1.3
 #
 # Licence
 # -------
diff --git a/pomad/tests/__init__.py b/skpomade/tests/__init__.py
similarity index 100%
rename from pomad/tests/__init__.py
rename to skpomade/tests/__init__.py
diff --git a/pomad/tests/test_dev_range_approximation.py b/skpomade/tests/test_dev_range_approximation.py
similarity index 92%
rename from pomad/tests/test_dev_range_approximation.py
rename to skpomade/tests/test_dev_range_approximation.py
index 806a51633391c0f17c2574c69f0ed4d3ca90f46e..83c04b63dc285d7df65e6a52969c27bd63e75e91 100755
--- a/pomad/tests/test_dev_range_approximation.py
+++ b/skpomade/tests/test_dev_range_approximation.py
@@ -22,7 +22,7 @@
 # Description
 # -----------
 #
-# `pomad` is a Python implementation of algorithms from
+# `skpomade` is a Python implementation of algorithms from
 # paper *Finding Structure with Randomness: Probabilistic Algorithms for
 # Constructing Approximate Matrix Decompositions*, by N. Halko, P. G.
 # Martinsson and J. A. Tropp, SIAM review, 53 (2), 2011, https://arxiv.org/abs/0909.4061.
@@ -31,7 +31,7 @@
 # Version
 # -------
 #
-# * pomad version = 0.1.3
+# * skpomade version = 0.1.3
 #
 # Licence
 # -------
@@ -51,7 +51,7 @@
 #
 # ######### COPYRIGHT #########
 
-"""Test of the module :module:`pomad._dev_range_approximation`
+"""Test of the module :module:`skpomade._dev_range_approximation`
 
 .. moduleauthor:: Valentin Emiya
 """
@@ -60,10 +60,10 @@ import numpy as np
 
 from scipy.sparse.linalg import aslinearoperator, svds
 
-from pomad.range_approximation import adaptive_randomized_range_finder
-from pomad.utils import \
+from skpomade.range_approximation import adaptive_randomized_range_finder
+from skpomade.utils import \
     build_random_psd_matrix, build_test_matrix, FourierMultiplierOp
-from pomad._dev_range_approximation import \
+from skpomade._dev_range_approximation import \
     adaptive_randomized_range_finder_naive, \
     adaptive_randomized_range_finder_nolist, \
     adaptive_randomized_range_finder_circy, \
diff --git a/pomad/tests/test_factorization_construction.py b/skpomade/tests/test_factorization_construction.py
similarity index 95%
rename from pomad/tests/test_factorization_construction.py
rename to skpomade/tests/test_factorization_construction.py
index ea5bda2229f4853a07dab4d1798059c1ccd41a02..8397bb6b340f845b8ee345a8de7224cdcc93d8d4 100755
--- a/pomad/tests/test_factorization_construction.py
+++ b/skpomade/tests/test_factorization_construction.py
@@ -22,7 +22,7 @@
 # Description
 # -----------
 #
-# `pomad` is a Python implementation of algorithms from
+# `skpomade` is a Python implementation of algorithms from
 # paper *Finding Structure with Randomness: Probabilistic Algorithms for
 # Constructing Approximate Matrix Decompositions*, by N. Halko, P. G.
 # Martinsson and J. A. Tropp, SIAM review, 53 (2), 2011, https://arxiv.org/abs/0909.4061.
@@ -31,7 +31,7 @@
 # Version
 # -------
 #
-# * pomad version = 0.1.3
+# * skpomade version = 0.1.3
 #
 # Licence
 # -------
@@ -51,7 +51,7 @@
 #
 # ######### COPYRIGHT #########
 
-"""Test of the module :module:`pomad.factorization_construction`
+"""Test of the module :module:`skpomade.factorization_construction`
 
 .. moduleauthor:: Valentin Emiya
 """
@@ -59,9 +59,9 @@ import unittest
 import numpy as np
 from scipy.sparse.linalg import aslinearoperator, eigs, svds
 
-from pomad.factorization_construction import direct_svd, evd_nystrom
-from pomad.range_approximation import randomized_range_finder
-from pomad.utils import \
+from skpomade.factorization_construction import direct_svd, evd_nystrom
+from skpomade.range_approximation import randomized_range_finder
+from skpomade.utils import \
     build_random_psd_matrix, build_test_matrix, FourierMultiplierOp
 
 
diff --git a/pomad/tests/test_range_approximation.py b/skpomade/tests/test_range_approximation.py
similarity index 95%
rename from pomad/tests/test_range_approximation.py
rename to skpomade/tests/test_range_approximation.py
index a0ea8621a7c4e03653bb81436010da898b465da9..63f627a07a2ab3bf4af2cbc16fd340d7e2c0ba22 100755
--- a/pomad/tests/test_range_approximation.py
+++ b/skpomade/tests/test_range_approximation.py
@@ -22,7 +22,7 @@
 # Description
 # -----------
 #
-# `pomad` is a Python implementation of algorithms from
+# `skpomade` is a Python implementation of algorithms from
 # paper *Finding Structure with Randomness: Probabilistic Algorithms for
 # Constructing Approximate Matrix Decompositions*, by N. Halko, P. G.
 # Martinsson and J. A. Tropp, SIAM review, 53 (2), 2011, https://arxiv.org/abs/0909.4061.
@@ -31,7 +31,7 @@
 # Version
 # -------
 #
-# * pomad version = 0.1.3
+# * skpomade version = 0.1.3
 #
 # Licence
 # -------
@@ -51,7 +51,7 @@
 #
 # ######### COPYRIGHT #########
 
-"""Test of the module :module:`pomad.range_approximation`
+"""Test of the module :module:`skpomade.range_approximation`
 
 .. moduleauthor:: Valentin Emiya
 """
@@ -60,9 +60,9 @@ import numpy as np
 
 from scipy.sparse.linalg import aslinearoperator, svds
 
-from pomad.range_approximation import \
+from skpomade.range_approximation import \
     randomized_range_finder, adaptive_randomized_range_finder
-from pomad.utils import \
+from skpomade.utils import \
     build_random_psd_matrix, build_test_matrix, FourierMultiplierOp
 
 
diff --git a/pomad/tests/test_utils.py b/skpomade/tests/test_utils.py
similarity index 97%
rename from pomad/tests/test_utils.py
rename to skpomade/tests/test_utils.py
index 4cfca2b70f19a2ec6bbc571bb59ecf99d423a3c6..30ed708c6df6db6e3f95c1e280f8ffdd399ffb53 100755
--- a/pomad/tests/test_utils.py
+++ b/skpomade/tests/test_utils.py
@@ -22,7 +22,7 @@
 # Description
 # -----------
 #
-# `pomad` is a Python implementation of algorithms from
+# `skpomade` is a Python implementation of algorithms from
 # paper *Finding Structure with Randomness: Probabilistic Algorithms for
 # Constructing Approximate Matrix Decompositions*, by N. Halko, P. G.
 # Martinsson and J. A. Tropp, SIAM review, 53 (2), 2011, https://arxiv.org/abs/0909.4061.
@@ -31,7 +31,7 @@
 # Version
 # -------
 #
-# * pomad version = 0.1.3
+# * skpomade version = 0.1.3
 #
 # Licence
 # -------
@@ -51,7 +51,7 @@
 #
 # ######### COPYRIGHT #########
 
-"""Test of the module :module:`pomad.utils`
+"""Test of the module :module:`skpomade.utils`
 
 .. moduleauthor:: Valentin Emiya
 """
@@ -59,7 +59,7 @@ import unittest
 
 import numpy as np
 
-from pomad.utils import \
+from skpomade.utils import \
     build_test_matrix, build_random_psd_matrix, FourierMultiplierOp
 
 
diff --git a/pomad/utils.py b/skpomade/utils.py
similarity index 96%
rename from pomad/utils.py
rename to skpomade/utils.py
index a41698a2505ea50f495d06ccf67dbb0418b3bcab..b1a56d94809923b7b53ad408456d545a578e422a 100755
--- a/pomad/utils.py
+++ b/skpomade/utils.py
@@ -22,7 +22,7 @@
 # Description
 # -----------
 #
-# `pomad` is a Python implementation of algorithms from
+# `skpomade` is a Python implementation of algorithms from
 # paper *Finding Structure with Randomness: Probabilistic Algorithms for
 # Constructing Approximate Matrix Decompositions*, by N. Halko, P. G.
 # Martinsson and J. A. Tropp, SIAM review, 53 (2), 2011, https://arxiv.org/abs/0909.4061.
@@ -31,7 +31,7 @@
 # Version
 # -------
 #
-# * pomad version = 0.1.3
+# * skpomade version = 0.1.3
 #
 # Licence
 # -------
@@ -50,7 +50,7 @@
 # along with this program.  If not, see <http://www.gnu.org/licenses/>.
 #
 # ######### COPYRIGHT #########
-"""Utils classes and functions for pomad.
+"""Utils classes and functions for skpomade.
 
 .. moduleauthor:: Valentin Emiya
 """