diff --git a/salomon.csv b/salomon.csv
index c7a3981b79d65a591170f01b818450ca3a6be56d..e83aa5ce20b2ca3cf1658ced94d86ec2a8022d91 100644
--- a/salomon.csv
+++ b/salomon.csv
@@ -49,6 +49,7 @@ ATLAS/3.10.3-GCC-6.3.0-2.27-LAPACK-3.6.1,2
 ATLAS/3.10.3-GCC-7.1.0-2.28-LAPACK-3.6.1,2
 attrs/17.4.0-Py-2.7,2
 attrs/17.4.0-Py-3.6,2
+attrs/19.1.0-Py-2.7,2
 Autoconf/2.68,2
 Autoconf/2.69,2
 Autoconf/2.69-foss-2015g,2
@@ -218,6 +219,8 @@ DDT/4.2,2
 DDT/5.0.1,2
 Debian/8.0,2
 decorator/4.2.1-Py-3.6,2
+decorator/4.4.0-Py-2.7,2
+deepdiff/3.3.0-Py-2.7,2
 deMonNano/4.3.6,2
 DGX-2/1.0,2
 Digimat/5.0.1-COM,2
@@ -1168,6 +1171,7 @@ nettle/3.3-intel-2017a,2
 nettle/3.4.1,2
 networkx/1.11-Python-2.7.13,2
 networkx/2.1-Py-3.6,2
+networkx/2.2-Py-2.7,2
 NLopt/2.4.2,2
 NLopt/2.4.2-intel-2017a,2
 NodeJS/6.10.1-foss-2016a,2
@@ -1450,6 +1454,7 @@ pyspark/2.3.0-Py-3.6,2
 pytest/3.3.2-Py-2.7,2
 pytest/3.3.2-Py-3.6,2
 pytest/4.3.0-Py-2.7,2
+pytest/4.4.0-Py-2.7,2
 Python/2.7.11-intel-2015b,2
 Python/2.7.11-intel-2017a,2
 Python/2.7.13,2
@@ -1639,6 +1644,7 @@ SuiteSparse/4.4.5-intel-2015b-METIS-5.1.0,2
 SuiteSparse/4.4.6-intel-2015b-ParMETIS-4.0.3,2
 SuiteSparse/4.5.3-intel-2017a-ParMETIS-4.0.3,2
 SuiteSparse/4.5.5-intel-2017a-METIS-5.1.0,2
+SuiteSparse/5.1.2-intel-2017c-METIS-5.1.0,2
 SUMO/0.25.0-foss-2015g,2
 SUMO/0.26.0-foss-2015g,2
 SUMO/0.27.1-foss-2015g,2
diff --git a/salomon.md b/salomon.md
index d2789812d2d848223ce6b34099bb0d1939ea3b26..ba30618f8e1636151cbf0dd4e6b006de51ae22f5 100644
--- a/salomon.md
+++ b/salomon.md
@@ -416,6 +416,7 @@
 | [cycler](https://matplotlib.org/cycler) | Composable style cycles. |
 | [dask](https://pypi.python.org/pypi/dask) | Parallel PyData with Task Scheduling. |
 | [decorator](https://pypi.python.org/pypi/decorator) | Better living through Python with decorators. |
+| [deepdiff](https://pypi.org/project/deepdiff/) | Python 2 and 3 compatibility library. |
 | [dill](https://github.com/uqfoundation/dill) | dill extends python's pickle module for serializing and de-serializing python objects to the majority of the built-in python types. Serialization is the process of converting an object to a byte stream, and the inverse of which is converting a byte stream back to on python object hierarchy. |
 | [dist-keras](https://pypi.python.org/pypi/dist-keras) | Distributed Deep learning with Apache Spark with Keras. |
 | [DynaPhoPy](https://github.com/abelcarreras/DynaPhoPy) | Software to calculate crystal microscopic anharmonic properties from molecular dynamics (MD) using the normal-mode-decomposition technique. These properties include the phonon frequency shifts and linewidths, as well as the renormalized force constanst and thermal properties by using quasiparticle theory. This code includes interfaces for MD outputs from VASP and LAMMPS .PHONOPY code is used to obtain harmonic phonon modes. |