Launching soon — get early access:
Deepnote

Deepnote

Open Source(Apache-2.0)
AI-Enhanced
Easiest to use
Most customizable

Collaborative analytics & data science notebook

SOC 2
GDPR
HIPAA
Public status page
No training on your data
+9
Last updated: Aug 28, 2026
Freemium
Visit Site3.0k
More
deepnote.com

Quick Answer

AI

Deepnote is a collaborative data science notebook for data professionals and teams, offering an AI-first design with Python, SQL, and R support. It integrates with 100+ data sources and provides features like real-time collaboration, data apps, and agent capabilities. Deepnote is open-source under the Apache 2.0 license and offers a free plan with paid tiers starting at $39 per editor/month.

About DeepnoteAI

Deepnote is an open data workspace for teams and AI agents to explore data, automate insights, and make better decisions. It offers collaborative notebooks, data apps, and dashboards with 100+ integrations. Deepnote provides a free tier and paid plans starting from $39 per editor/month.

What Makes It UniqueAI

Deepnote is an open-source, human-readable notebook format that supports real-time collaboration, AI agents, and seamless integration with existing data stacks, allowing for both local and cloud-based workflows.

AI-extracted from public sources. May contain errors. Methodology · Report an error

Decision Intelligence

Best For

AI
Mid-market data teams needing a collaborative platform for data analysis and machine learning workflows
Enterprise data science teams requiring secure, auditable workspaces with flexible deployment options
Data professionals and educators looking for an AI-native notebook environment with extensive integrations
Fintech and finance teams building credit risk models, fraud detection, and portfolio analysis in a governed environment
Startups and researchers prototyping MVPs and exploring data with powerful hardware and AI assistance

Consider Alternatives If

AI
Not for large-scale data processing or complex machine learning experiments requiring powerful infrastructure beyond higher-tier plans
Not for users requiring extensive custom Jupyter extensions, arbitrary kernel installations, or custom widgets
Not for purely non-technical users needing code-free dashboards and seamless embedding
Pricing Overview

Type

Freemium

Free Trial

No

Credit Card

Not Required

Free Plan

Yes

Dimension Scores

· 7.8 avg

How good it is, across universal quality axes

Ease of Use7/10
Output Quality8/10
Value for Money7/10
Customization9/10
Support7/10
Integration10/10
Accuracy & Reliability8/10
Compliance & Data Protection6/10
Performance8/10
AI-analyzed from product data·Medium confidenceHow we score

Task Scores

· 7.6 avg

What it can do, on category-specific tasks

Data Integration9/10
Collaboration Sharing9/10
Data Visualization8/10
Natural Language Queries8/10
Automated Insights8/10
Dashboard Creation7/10
Predictive Analytics7/10
Report Generation7/10
Anomaly Detection7/10
Data Cleaning6/10

Scores are AI-estimated from publicly available data — not an independent test or a verified user rating. How we rank →

Capabilities
Chat
Agent
Code
Code Review
Writing
Summarization
Data Analysis
Automation
ProsAI
  • +Open-source under Apache 2.0 license, promoting interoperability and reducing lock-in
  • +Real-time collaboration features like commenting and shared program state enhance team productivity
  • +Native AI capabilities for code generation, explanation, and data visualization improve workflow efficiency
  • +Extensive integrations with 100+ data sources, including major warehouses and databases
  • +Flexible deployment options including multi-tenant, single-tenant, and on-premise for enterprise needs
  • +Comprehensive security and compliance features including SOC 2 Type II, HIPAA, GDPR, SSO, and audit logs
LimitationsAI
  • -Free plan has limited AI completions and calls per month
  • -Free plan limits projects to 5 and revision history to 7 days
  • -Free plan has a 15-minute inactivity period for machines
  • -SQL blocks currently return pandas DataFrames, not configurable to Polars DataFrames directly
  • -No explicit mention of support for all major human languages for UI or output
Fit Score

Complexity

Intermediate

Company Size

Solo
Small
Medium
Enterprise

Target Team Size

Individual
Small Team
Large Team

Target Skill Level

Intermediate
Expert
Technical Specifications
SDK Available
MCP Compatible
Team Features
Webhook Support
Has Demo
Function Calling (unknown)
Sandbox Mode
Audit Logs
No Signup (unknown)
Works Offline
Requires Host App
Framework
MCP Server
Inference API
IDE Plugins
Authentication
Single Sign-On
SAML
SCIM
Okta
Microsoft Entra ID
Developer Access
SDK
@deepnote/convert
Python
Deployment:
Hybrid
Runtime:
CPU
CUDA
Max upload:100MB
Response time (est.):
Fast
MCP Servers:
GitHub
Notion
Linear
Stripe
Sentry
Redis
MongoDB
Compliance, Privacy & Trust
GDPR (as claimed): Yes
SOC 2 (as claimed): Yes
Type II
HIPAA (as claimed): Yes
Privacy & data handling
Trains on user data: No
Model isolation: Dedicated
Human review:
Recommended

The Model(s) Behind It

Model details — extracted from public vendor sources by our pipeline (Smart Generator + A3 cross-referencing) or admin-entered. Shown as claimed by the vendor; not independently audited by Intelloro.

Powered By
Training Data Provenance
Not disclosed
Relevant to EU AI Act Art. 53 / Annex XI (GPAI)
Integrations & Connections
31 connections
D
C
D
+27
Comet Opik
Comet Opik

Open-Source AI Observability & Evals for the Agentic Era

Databricks
Databricks

Leading Data and AI Platform for Enterprises

PO
PostgreSQLNative

Connects to PostgreSQL databases for data querying and analysis

GO
Google BigqueryNative

Integrates with Google BigQuery data warehouse for analytics

AM
Amazon S3Native

Connects to Amazon S3 for file storage and data access

MY
MySQLNative

Integrates with MySQL databases for data management

SN
SnowflakeNative

Connects to Snowflake data warehouse for scalable analytics

GI
GitHubNative

Syncs notebooks with GitHub repositories for version control

Auto-updated

Build a Stack

Trust Score

88/100

Very Good

Based on 12 data signals

Confidence: Medium

Reflects publicly available data, not an independent audit

Compliance & Verified26/38
GDPRYes
SOC 2Yes
HIPAAYes
Human ReviewYes
Operational35/35
Uptime (measured)100.00% (30-day)
Status PageYes
Data ResidencyUS, EU
Market Proof10/10
Notable CustomersSoundCloud, Gusto, MoneyLion
Company17/17
Company ListedYes
Team Size11-50
User Base100K-1M
FundingSeries A
Health

Not yet checked

AI-Assisted Data

Some details are AI-generated estimates — verify with the vendor.

AI-generated estimate: Best For, Description, Limitations, Not Good For, Pros, Quick Answer, What Makes Unique

How we source data

AI Governance & Regulatory Disclosures

Legally-sensitive fields — extracted from public vendor sources by our pipeline (Smart Generator + A3 cross-referencing) or admin-entered. Shown as claimed by the vendor; not independently audited by Intelloro.

EU AI Act Risk Tier
Unclassified
EU AI Act Article 50 Disclosure
Not declared
COPPA Compliance (US under-13)
Not declared
Subprocessor List (GDPR Art. 28)
https://security.deepnote.com/subprocessors

Switching & Migration

Migration Difficulty
Moderate Effort
Data portable as:
PDF
JSON

Live chat support

Quick Stats
Base ModelGPT-4o +1
PlatformsWeb, API
Integrations30+
User Base100K-1M
Launched2019
Company & Links
CompanyDeepnote
Founded2019
Based inCzech Republic
Last major updateAug 2026
FundingSeries A · $24M
DocumentationChangelog
All Features
Collaborative data notebooks with Python, SQL, and R support
AI code completion, generation, and explanation
Interactive data apps and dashboards
ETL/ELT pipelines and scheduled runs
Version control with Git sync and run snapshots
Role-based access control (RBAC) and Single Sign-On (SSO)
Support for Spark and Snowpark for high-performance computing
GPU access for model training and serving
Free
Free
  • 1 editor
  • Unlimited viewers
  • 5 projects
  • 10 AI code completions per month
  • 5 Auto AI calls per month
  • 5 Generate code calls per month
  • 5 Edit code calls per month
  • 5 Explain code calls per month
  • Code blocks
  • SQL blocks
  • Text blocks
  • Chart blocks
  • Autocomplete
  • Scheduled runs
  • Terminal
  • Variable explorer
  • Interactive apps & dashboards
  • Import & export as .ipynb
  • Folders
  • Notebook API
  • Real-time collaboration
  • Commenting
  • Public projects
  • 7 days revision history
  • Access controls
  • Shared datasets
  • Sync notebooks with git
  • Unlimited Basic machines (5 GB RAM, 2 vCPU)
  • Shared environments
  • Public docker images
  • 15 minutes inactivity period
  • Basic free compute ($112/month worth)
  • Encrypted data
  • PostgreSQL
  • MySQL
  • ClickHouse
  • MariaDB
  • MindsDB
  • BigQuery
  • Snowflake
  • Redshift
  • Amazon Athena
  • SQL Server / Azure SQL
  • MongoDB
  • Databricks
  • Trino
  • Dremio
  • Google Drive
  • GitHub
  • GitLab
  • Amazon S3
  • Google Cloud Storage (GCS)
  • Live chat support
Team
$39/year
  • Unlimited editors
  • Unlimited viewers
  • Unlimited projects
  • Everything in Free plus…
  • $39 worth of AI credits every month
  • $280 worth of CPU every month
  • $50 worth of GPU every month
  • Unlimited Plus machines (16 GB RAM, 4 vCPU)
  • 30 days revision history
  • 24 hours inactivity period
Enterprise
Custom
  • Unlimited editors
  • Unlimited viewers
  • Unlimited projects
  • Everything in Team plus…
  • Unlimited revision history
  • Private docker images (Docker Hub, GCR, ECR)
  • Performance machines (64 GB RAM, 16 vCPU)
  • High memory machines (128 GB RAM, 16 vCPU)
  • GPU machines (60 GB RAM, 12 GB K80 GPU)
  • Custom machines
  • Volume discounts
  • Static IPs
  • SSH Tunnels
  • Audit log
  • Single sign-on (SSO)
  • Directory sync
  • Enforced SSO provider
  • Federated warehouse authentication
  • Single-tenant deployments
  • Private cloud (on-premise)
  • Dedicated success manager
  • Custom contract and invoicing
  • Unified billing across multiple workspaces
  • Priority support

Pricing verified from the vendor pricing page.

User Reviews

No reviews yet. Be the first to review!

Who It's For
3 roles
Data ScientistsComputer Systems AnalystsManagement Analysts
Platform, Content & Languages
5 content types
1 languages
CodeTextDocumentEnglish+16 more

Content Types

Code
Text
Document
Spreadsheet
Data Visualization

Accepts

Text
Code
CSV
Spreadsheet
Document
API

Produces

Text
Code
PDF
CSV
JSON
Spreadsheet
Document
API
Languages: English

Frequently Asked Questions