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Tools/Apache Superset vs Deepnote
Apache Superset

Apache Superset

ai-analytics
vs
Deepnote

Deepnote

ai-analytics

Apache Superset vs Deepnote — Comparison

Overview
What each tool does and who it's for

Apache Superset

Community website for Apache Superset™, a data visualization and data exploration platform

For analysts and business users. Learn to explore data, build charts, create dashboards, and connect to databases. For teams installing and operating Superset. Covers installation, configuration, security, and database drivers. For contributors and engineers building on Superset. Covers the REST API, extensions, and contributing workflows. Join the Superset community. Find resources on Slack, GitHub, the mailing list, and upcoming meetups. Superset makes it easy to explore your data, using either our simple no-code viz builder or state-of-the-art SQL IDE. Superset can connect to any SQL-based databases including modern cloud-native databases and engines at petabyte scale. Superset is lightweight and highly scalable, leveraging the power of your existing data infrastructure without requiring yet another ingestion layer. Superset ships with 40+ pre-installed visualization types. Our plug-in architecture makes it easy to build custom visualizations. Create physical and virtual datasets to scale chart creation with unified metric definitions. Explore data and find insights from interactive dashboards. Drag and drop to create robust charts and tables. Write custom SQL queries, browse database metadata, use Jinja templating, and more. Create physical and virtual datasets to scale chart creation with unified metric definitions. Explore data and find insights from interactive dashboards.

Deepnote

Explore data with Python & SQL, work together with your team, and share insights that lead to action — all in one place with Deepnote.

Describe what you want to do and Deepnote will automagically query, analyze, and interpret data for you. No coding skills necessary. Connect to your data in seconds with built-in integrations for the most popular warehouses, databases, and lakehouses. Used by the next generation of data analysts and data scientists. Used by the next generation of data analysts and data scientists. A free version for aspiring data analysts and scientists. For data teams needing a powerful platform for seamless collaboration. For organizations with greater machine and security needs. Deepnote is the AI workspace for data professionals, designed to simplify data exploration, accelerate analysis, and quickly deliver actionable insights for you and your team. Unlike outdated tools such as Jupyter, Deepnote is built with the next decade in mind. Deepnote is built to give anyone working with data superpowers. It unifies your data workflow through an integrated semantic layer, preparing your data for advanced AI applications. You can also leverage our AI data copilot to chat with your data, create charts, and write code, or turn your AI notebooks into fully-fledged data dashboards or apps. Combine data, SQL or Python code, and visualizations side-by-side on a flexible canvas - enhanced with cutting-edge AI reasoning models.

Key Metrics
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Avg Rating
—
0
Mentions (30d)
0
—
GitHub Stars
—
—
GitHub Forks
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—
npm Downloads/wk
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—
PyPI Downloads/mo
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Community Sentiment
How developers feel about each tool based on mentions and reviews

Apache Superset

0% positive100% neutral0% negative

Deepnote

0% positive100% neutral0% negative
Pricing

Apache Superset

tiered

Deepnote

subscription + freemium + tieredFree tier

Pricing found: $39, $280, $50, $112/month

Use Cases
When to use each tool

Deepnote (1)

Maximilian Strauss
Features

Only in Apache Superset (10)

DashboardsChart BuilderUser GuideAdministrator GuideDeveloper GuideCommunityPowerful yet easy to useIntegrates with modern databasesModern architectureRich visualizations and dashboards

Only in Deepnote (10)

vs Jupytervs Google Colabvs Hyperqueryvs Databricksvs AWS SageMakervs Vertex AIThe notebook manifestoData analyticsData engineeringMachine learning
Developer Ecosystem
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GitHub Repos
—
—
GitHub Followers
—
20
npm Packages
—
40
HuggingFace Models
—
—
SO Reputation
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Product Screenshots

Apache Superset

Apache Superset screenshot 1Apache Superset screenshot 2Apache Superset screenshot 3Apache Superset screenshot 4

Deepnote

Deepnote screenshot 1Deepnote screenshot 2Deepnote screenshot 3Deepnote screenshot 4
Company Intel
information technology & services
Industry
information technology & services
2,500
Employees
23
$35.0M
Funding
$23.9M
Angel
Stage
Series A
Supported Languages & Categories

Apache Superset

data visualizationbusiness intelligenceBIdashboardsSQL

Deepnote

AI/MLFinTechDevOpsSecurityAnalytics
View Apache Superset Profile View Deepnote Profile