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Noteable

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Collaborative notebooks for data analysis, visualization, and machine learning.

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Reviews onG2Capterra
616 reviews tracked

The Bottom Line

Entry price

Free plan available, paid tiers above

Biggest pro

Enables seamless real-time collaboration on data projects.

Biggest con

May have a learning curve for users new to notebook environments.

TL;DR - Noteable

  • Collaborative notebooks for data science.
  • Supports Python, SQL, and R with real-time collaboration.
  • Integrates with various data sources and tools.
Pricing: Free plan available
Best for: Growing teams
4.6/5 across review platforms

What is Noteable?

Editorial review
Noteable is a collaborative notebook platform designed for data teams to explore, analyze, and visualize data, build models, and share insights. It provides a unified workspace where data scientists, analysts, and engineers can work together on Python, SQL, and R notebooks. The platform supports real-time collaboration, version control, and integrates with various data sources and tools. Noteable aims to streamline the data workflow by offering an environment that combines coding, markdown, and interactive outputs. It's built for teams that need to iterate quickly on data projects, ensure reproducibility, and effectively communicate their findings across the organization. The platform is suitable for a range of tasks from ad-hoc data exploration to developing and deploying machine learning models. Key benefits include enhanced team productivity through shared workspaces, simplified data access and integration, and improved decision-making by making data insights more accessible and understandable. It caters to organizations looking to foster a data-driven culture and empower their teams with powerful, yet easy-to-use, analytical tools.

Pros & Cons

Pros

  • Enables seamless real-time collaboration on data projects.
  • Supports multiple programming languages popular in data science.
  • Provides robust version control for reproducibility.
  • Offers extensive integrations with common data tools and sources.
  • Facilitates easy sharing and presentation of data insights.

Cons

  • May have a learning curve for users new to notebook environments.
  • Performance could be dependent on internet connection for real-time collaboration.

Ratings Across the Web

4.6(616 reviews)

Ratings aggregated from independent review platforms. Learn more

Key Features

Real-time collaborative notebooksSupport for Python, SQL, and RVersion control and history trackingIntegrations with data sources (e.g., Snowflake, BigQuery, S3)Interactive visualizations and dashboardsScheduled execution of notebooksCustomizable environments and dependenciesSharing and publishing of insights

Pricing Plans

Free Trial

Pricing checked May 29, 2026

Free

Free

  • 1 user
  • 1 project
  • 100 MB storage
  • Basic features

Basic

$10 / month

  • 5 users
  • 5 projects
  • 1 GB storage
  • Advanced features

Pro

$25 / month

  • Unlimited users
  • Unlimited projects
  • 10 GB storage
  • All features
  • Priority support

How Noteable's pricing compares

At $10/mo, Noteable is the most affordable of its 3 direct competitors.

Noteable
$10
$50

Entry paid plan, monthly. Pricing checked May 29, 2026.

Reviews

4.6/5

Across 616 verified user reviews on G2, Capterra

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Noteable FAQ

What is Noteable?

Noteable is a collaborative notebook platform that allows data teams to work together on data analysis, visualization, and machine learning projects using Python, SQL, and R. It provides a shared workspace for coding, exploring data, and sharing insights.

How much does Noteable cost?

Noteable offers a freemium model. There is a free tier available, and paid plans offer additional features, resources, and support.

Is Noteable free?

Yes, Noteable offers a free tier that allows users to get started with the platform and its core functionalities. Paid plans are available for more advanced needs and team features.

Who is Noteable for?

Noteable is designed for data scientists, data analysts, data engineers, and other data professionals who work in teams and need a collaborative environment to explore, analyze, visualize data, build models, and share their findings.

Source: noteable.io

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