With the flexibility to using Python/R/SQL and the capability of on-demand infrastructure, there is a lot you can do with Noteable.
SQL, Python, R, and No-code Visualization in one single document to accelerate time to insight.
Seamlessly connect to your data no matter where it’s stored, featuring native integrations with BigQuery, Snowflake, Databricks, and APIs.
No matter your code level, turn your data into stories with the largest library of built-in visualizations.
Speed up data analysis and enable more users to explore data with the best no-code Excel-like interactive tables.
Turn your ML, Dashboard, and ETL workflows into Data Pipelines
Native SQL support within a Python Jupyter notebook gives you the flexibility to work with data the way you want.
Share your data’s story with easy-to-build, easy-to-share, and customizable published notebooks.
Frictionless Data Preparation & Modeling for Collaborative Data Science.
Connect Noteable projects to your own GitHub repos. Browse all the files and easily use git commands like pull, commit, push.
Configure your own compute and share credentials and important data across teams.
Go deeper on collaboration by commenting on anything – all the way down to specific data points. Control how and where you share files.
✨ “Noteable is solving several key problems in the data science and analysis space, including streamlining workflows, making collaboration easier, and improving the efficiency and accuracy of data analysis.” – Deep S. , Data Scientist
We have a long history of supporting technical communities and open-source initiatives. We value the energy, open standards, and exchange of ideas that emerge when passionate professionals come together for a common cause. That’s why Noteable’s committed to supporting technical communities and contributing back to open source wherever possible.
Noteable is the collaborative data notebook built to power data science and engineering use cases. No matter what your data project involves, Noteable gives you the flexibility, features and a scalable on-demand infrastructure to be successful.
