We value the energy, open standards, and exchange of ideas that emerge when passionate professionals come together for a common cause.
We have a long history of supporting technical communities and open source initiatives and are committed to supporting technical communities and contributing back to open source wherever possible.
Project Jupyter is a non-profit, open-source project, born out of the IPython Project in 2014 as it evolved to support interactive data science and scientific computing across all programming languages.
JupyterHub is a multi-user version of the notebook designed for companies, classrooms and research labs.
nteract is an open-source organization committed to creating fantastic interactive computing experiences that allow people to collaborate with ease.
PyLadies is an international mentorship group with a focus on helping more women become active participants and leaders in the Python open-source community.
Python is a programming language that lets you work quickly and integrate systems more effectively.
scrapbook is a library for recording a notebook’s data values and generated visual content as “scraps”. These recorded scraps can be read at a future time.
The Data Visualization Society was founded to serve as a professional home for those working across the discipline while leading others into this growing, dynamic field, and to increase the visibility and value of data visualization to the general public.
NumFOCUS promotes open practices in research, data, and scientific computing. They run educational programs and fiscal sponsorship of open source projects.
When you join Noteable’s beta, you also join a community of notebook users helping build the best notebook experience.
Get first access to the product and share feedback and feature requests, and collaborate with our team.
Join a community of notebook users to share tips and best practices.
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SQL, Python, R, and No-code Data Visualization in one single data workspace.
Noteable is the collaborative data notebook to combine code (SQL, Python, & R), natural language, and interactive visualizations. Our data notebook built to give data teams the efficiency and flexibility to collaborate better, deliver actionable insights and achieve business impact.