Product Information
What is Noteable - data science notebook?
Meet Noteable, the true collaborative notebook experience that breaks down barriers between data analysis and data science teams. Built by industry leaders. Battle-tested in the world's largest tech companies.
Noteable is a cloud-based data notebook platform for data science and machine learning, offering users an interactive and collaborative experience. It provides one of the most comprehensive feature sets any user or business could need.
Some cool features worth highlighting include:
- Real-time collaboration (like Google Drive)
- Work with Python, R, and SQL
- Write SQL queries on CSV or JSON files (no database tables required)
- Seamlessly switch between Python and SQL on any dataframe within the same notebook
- Interactive data visualizations (e.g., Tableau or Excel)
- Interactive tables with formatting assistants (convert date formats, strings, numbers, floats, etc.)
- Choose hardware resources between 1 to 15 CPUs (free compute, subject to fair use policy)
- Secrets Vault for securely storing, using, and sharing API keys and credentials
- Unlimited cloud storage
- Version control for managing multiple notebook versions
- Publish unlimited interactive notebooks
- Schedule notebooks to run periodically
- Integrations with Dagster, Airflow, and Papermill for orchestration
Noteable focuses on collaboration and interactivity, enabling users to quickly explore data, perform analysis, and share notebooks with others. Users can also work together on notebooks in real time, making it the ideal data notebook for teams and organizations.
It supports working with CSV, JSON, and Excel files using Python, R, SQL, or no-code interactive browsing. It brings data practitioners (analysts, scientists, engineers, BI specialists) and stakeholders onto the same platform, ensuring efficient review, action items, and feedback through comments, annotations, and @mentions.
Notably, it’s library-agnostic—meaning you can use almost any Python library you want, including TensorFlow and PyTorch. This makes it a versatile platform catering to the diverse needs of data analysts, data scientists, and machine learning practitioners.
How to use Noteable - data science notebook?
Noteable is a cloud-based data science notebook platform that provides an interactive and collaborative experience for data science and machine learning, designed to remove barriers between data analysis and data science teams.
Core Functions of Noteable - data science notebook
No coding required, real-time collaboration, marketing automation, CSV data import, data analysis, data science
Usage Scenarios of Noteable - data science notebook
- Collaborate in real-time for data exploration and analysis.
- Process CSV, JSON, or Excel files using Python, R, and SQL in the same notebook.
- Share and co-edit data notebooks with team members.
- Utilize interactive data visualizations and tables for data processing.
- Bring together different roles like data analysts, data scientists, and data engineers on one platform for collaboration and feedback.
- Practice with machine learning libraries like TensorFlow and PyTorch.
Common Questions about Noteable - data science notebook
What does Noteable do?
How do I use Noteable?
What are the core features of Noteable?
What are the use cases for Noteable?





















