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JUPYTER, JUPYTERLAB, JUPYTERHUB

NOTEBOOKS FOR TEAMS & BIG DATA

Our Jupyter consulting services can benefit teams at various stages of Jupyter adoption. Whether your team is just getting started with notebooks; is ready to migrate from classic Jupyter notebooks to Jupyter Lab; is starting to scale your team of Jupyter users, or are experienced Jupyter users who need customized extensions or plugins; Quansight has the experts who can help you advance your use of this powerful technology.

GETTING STARTED WITH JUPYTER TECHNOLOGIES
A data scientist working with a notebook environment on a desktop or laptop can develop sophisticated data cleansing, transformation, analysis, visualization and machine learning. Building the infrastructure to do this in an organized repeatable fashion is hard. Going past the single user experience to working in a team and extending the analysis to large data sets will require the technologies found in JupyterLab and JupyterHub. Setting up these technologies in large scale environments requires expertise. Quansight employs some of the people that created Jupyter, JupyterLab, and JupyterHub. We have the experience and know-how to save you valuable time is setting up your Jupyter environment for your entire team.
MIGRATING TO JUPYTERLAB
JupyterLab greatly extends the power of notebooks with integrated data access, coding and notebooks. For teams that have used classic Jupyter Notebooks, adopting JupyterLab may require porting extensions they have created or adopted to Jupyter Labs. Quansight has the skills required to ensure that your Jupyter notebook extensions are successfully ported to JupyterLabs. Let us take the risk out of your migration.
EXTENDING THE CAPABILITIES OF JUPYTER
Many of our customers who use Jupyter technologies extensively find that they need custom plug-ins or extensions to get additional benefits. Our deep knowledge of the underlying technologies and experience with creating such customizations mean we are the ideal partners for extending your Jupyter capabilities.
SCALE UP AND SCALE OUT WITH JUPYTERHUB
Moving from a single user Jupyter experience to a sustainable platform for your data science team is complex. Quansight can help you deploy a platform in-situ or in the cloud for your data scientists, using JupyterHub to scale across your team and integrating technologies like Intake, Dask, and PySpark to allow you to scale up your analysis to massive datasets.
Connect with us to get the expert help your team needs to get the most our of Jupyter technologies.