Noteable - Data Science Notebook

Meet Noteable, the truly collaborative notebook experience that eliminates the barriers between your data analytics and data science teams. Built by industry leaders. Battle-tested at the world’s largest tech companies.

Noteable is a cloud-based data notebook platform for data science and machine learning that delivers an interactive and collaborative experience for users. It offers some of the most comprehensive set of features that any user or business may need.

Some of the cool features worth mentioning are:

• Real-time collaboration (like Google Drive)
• Use Python, R, and SQL
• Write SQL queries on CSV or JSON files (no need for data tables)
• Effortlessly use Python & SQL in the same notebook on any data frames
• Interactive data visualization (like Tableau or Excel)
• Interactive tables with format helpers (convert date formats, strings, numbers, float etc)
• Select hardware resources between 1 to 15 CPUs (free compute, fair use policy applies)
• Secrets Vault to securely store, use, and share API Keys and Credentials
• Unlimited cloud storage
• Versioning to manage multiple versions of a notebook
• Publish unlimited number of interactive notebooks
• Schedule notebooks to run periodically
• Integration with Dagster, Airflow and Papermill for orchestration

Noteable focuses on collaboration and interactivity allowing users to quickly explore data, perform data analysis, and share notebooks with other users. Users are also able to work on the notebook together in real-time, making it the best data notebook for teams and organizations.

With it’s ability to work with CSV, JSON, Excel files using Python, R, SQL or No-Code Interactive explorer.It brings data practitioners (data Analysts, Data Scientists, Data Engineers, BI Engineers) and stakeholders on the same platform and ensure effective reviews, action items, feedback via comments, annotations and @mentions.

Noteable is also library agnostic which means you can use pretty much any library you would like with your Python code, including TensorFlow and PyTorch. This makes it a convenient platform for the varying needs of data analysts, data scientists and machine learning practitioners.