diff --git a/services/applications/jupyterlab/docker/Dockerfile b/services/applications/jupyterlab/docker/Dockerfile
index 033a4470..886620ae 100644
--- a/services/applications/jupyterlab/docker/Dockerfile
+++ b/services/applications/jupyterlab/docker/Dockerfile
@@ -1,52 +1,52 @@
 # FROM nvidia/cuda:10.2-runtime-ubuntu18.04
 FROM nvcr.io/nvidia/pytorch:20.09-py3
 
 LABEL IMAGE="jupyterlab"
 LABEL VERSION="3.1.1"
 LABEL CI_IGNORE="False"
 
-# Install NodeJS: https://askubuntu.com/a/548776
-RUN curl -sL https://deb.nodesource.com/setup_13.x | bash - 
+# # Install NodeJS: https://askubuntu.com/a/548776
+# RUN curl -sL https://deb.nodesource.com/setup_13.x | bash - 
 
 # Install Python and basic tools
-RUN apt-get update -y && apt-get install -y \
-      build-essential \
-      curl \
-      python3 \
-      python3-all-dev \
-      python3-pip \
-      python3-setuptools \
-      python3-venv \
-      python3-wheel \
-      nodejs \
-     && rm -rf /var/lib/apt/lists/* \
-     && pip3 install --upgrade pip
+# RUN apt-get update -y
+# RUN apt-get install -y \
+#       build-essential \
+#       curl \
+#       python3 \
+#       python3-all-dev \
+#       python3-pip \
+#       python3-setuptools \
+#       python3-venv \
+#       python3-wheel \
+#      && rm -rf /var/lib/apt/lists/* \
+#      && pip3 install --upgrade pip
 
 
 # Common Python packages
 COPY files/requirements.txt /root/
 RUN pip3 install -r /root/requirements.txt
 
 # Disable security token for Jupyter lab
 RUN jupyter notebook --generate-config \
  && sed -i "s/^.*NotebookApp.token.*$/c.NotebookApp.token = ''/g" /root/.jupyter/jupyter_notebook_config.py
  #&& sed -i "s/^.*NotebookApp.base_url.*$/c.NotebookApp.base_url = '\/jupyterlab'/g" /root/.jupyter/jupyter_notebook_config.py
 
 # Interactive plotly widgets -> not working on 3.1.1
 # RUN jupyter labextension update --all \
 #  && jupyter labextension install @jupyter-widgets/jupyterlab-manager \
 #  && jupyter labextension install jupyterlab-plotly \
 #  && jupyter labextension install plotlywidget
 
 # Download the default BERT model and store it in the Docker container (in the directory /root/.cache/torch/transformers). This is the easiest solution for now but makes the Docker image unnecessarily large and does not scale well
 #RUN python3 -c "FROM transformers import BertModel, BertTokenizer; BertModel.from_pretrained('bert-base-uncased'); BertTokenizer.from_pretrained('bert-base-uncased')"
 
 RUN mkdir -p /appdata
 COPY files/jupyterlab.sh /
 
 EXPOSE 8888
 ENV INGRESS_PATH /jupyterlab/buh/
 #CMD jupyter lab --ip=* --port=8888 --no-browser --notebook-dir=/opt/app/data --allow-root
 
 CMD ["/bin/bash", "/jupyterlab.sh"]
 
diff --git a/services/applications/jupyterlab/docker/files/requirements.txt b/services/applications/jupyterlab/docker/files/requirements.txt
index 85b161ea..6c9bbb15 100644
--- a/services/applications/jupyterlab/docker/files/requirements.txt
+++ b/services/applications/jupyterlab/docker/files/requirements.txt
@@ -1,20 +1,20 @@
-elasticsearch
-pathlib
-pydicom
-dicomweb-client
+elasticsearch==7.14.0
+pathlib==1.0.1
+pydicom==2.2.0
+dicomweb-client==0.52.0
 #slackclient
-numpy
-scikit-learn
+numpy==1.19.1
+scikit-learn==0.23.2
 kubernetes==11.0.0
-minio
-bleach
-Pillow
-plotly
-torch
-torchvision
-transformers
+minio==7.1.0
+bleach==3.1.5
+Pillow==8.3.1
+plotly==5.2.1
+torch==1.7.0
+torchvision==0.8.0
+transformers==4.9.2
 jupyterlab==3.1.1
-ipywidgets
-matplotlib
-seaborn
+ipywidgets==7.6.3
+matplotlib==3.3.1
+seaborn==0.11.1