Additional machine usage and stronger machines are charged per minute when applicable.
The per-editor plan price may not represent total spend for workloads that exceed included compute or require larger machines.
Evidence source ↗
Deepnote
Deepnote is a cloud workspace for collaborative data analysis and machine learning. It combines Python, SQL, connected data sources, AI assistance, and notebook publishing.
8 key claims verifiedOur editorial team checked this profile against vendor documentation, pricing information, product documentation. Supported by 6 documented sources.
Editorial overview
Aggregated Overview
The product offers integrated Python and SQL notebooks, connected data services, collaboration, scheduling, and publishing. G2 lists 387 reviews and a 4.5 average; scores are editorial assessments, not hands-on test results.
This profile combines documented product information and independent evidence where available. It is not a hands-on test unless TechZella explicitly identifies one.
Overview
Deepnote is a cloud workspace for data analysis, exploration, and machine learning. Its collaborative notebooks combine Python, SQL, visualizations, text, and interactive inputs.
Teams can connect databases and warehouses, organize notebooks in projects, schedule executions, and publish results as dashboards or apps. Free users face project and editor limits; larger teams can select paid plans.
Deepnote Decision Snapshot
A quick way to understand who this product may suit, where its limits matter, and which facts are most relevant before you compare alternatives.
Best suited to
Data and software teams that want a shared cloud workspace for Python and SQL analysis, connected data sources, notebook collaboration, scheduled work, and shareable apps.
Look elsewhere if
Teams requiring a fully air-gapped environment or an entirely self-managed installation should evaluate deployment requirements carefully. Deepnote documents network-dependent deployments and presents self-hosted or customer-cloud options through sales, and should evaluate alternatives such as Hex for collaborative data analysis, notebooks, and published data apps. or Google Colab for browser-based Jupyter notebooks, data science, and machine learning. instead.
Platforms
Cloud, GitHub, Microsoft Azure, REST API, Web
TechZella assessment
8.3/10
Deepnote — What Sets It Apart?
These are the product-specific differences that may matter when deciding whether the software fits your workflow. They are based on documented evidence rather than a universal ranking.
- Combines SQL, Python, visualizations, and explanatory text in collaborative notebooks.
- Connects notebooks to databases, warehouses, file storage, and version-control services through workspace integrations.
- Publishes notebook results as interactive apps and supports notebook scheduling.
- Offers notebook API access and an MCP server for agent workflows.
Deepnote Pros & Cons
Pros
- Combines SQL and Python workflows within the same collaborative notebook environment.
- Connects to data sources and supports notebook scheduling and interactive app publishing.
- Offers a free tier and unlimited viewers on listed paid plans.
- Documents notebook import, export, and conversion options.
Cons
- Free has limits on editors, projects, revision history, and machine inactivity.
- Additional machine usage and stronger compute can incur per-minute charges.
- Deepnote-specific blocks may not export exactly to Jupyter format.
- Public API v2 is labeled as a preview and may change.
Deepnote Gotchas & Operational Limits
These are documented constraints or practical friction points that may matter before you adopt the product.
The Public API v2 is marked as a preview.
Teams relying on preview endpoints in production-critical automation should account for possible endpoint or schema changes.
Evidence source ↗Deepnote's documentation says scheduled runs use the OAuth tokens of the user who created the schedule.
Token expiration or revocation can interrupt unattended schedules; the docs recommend service-account or username-and-password authentication for certain workflows.
Evidence source ↗Deepnote Pricing & Plans
Free
$0
forever
Up to three editors, five projects, limited AI, basic machines, and seven-day revision history.
Check current pricing →Team
$39
per editor/month, billed yearly
Includes unlimited viewers and notebooks, scheduled notebooks, premium integrations, background execution, monthly AI and compute credits, and a 14-day free trial.
Check current pricing →Enterprise
Custom
custom
Adds enterprise administration and deployment options, including SSO, directory sync, audit logs, single tenancy, and priority support.
Check current pricing →Pricing may change. Verify current plans on the vendor's website.
Quick Comparison
Compare the product with documented alternatives across the factors that can change a buying decision. Each row is evidence-backed rather than a generic feature checklist.
Deepnote vs. Hex
Documented comparison| Decision factor | Deepnote | Hex |
|---|---|---|
| Core scope | Collaborative notebook workspace for data analysis, data science, machine learning, scheduled work, and data apps. | Analytics and BI-oriented workspace centered on warehouse exploration, dashboards, reports, and interactive apps. Source ↗ |
| Paid team pricing | Team is listed at $39 per editor per month when billed yearly. | Team is listed at $75 per editor per month. Source ↗ |
| Notebook portability and local work | Supports Jupyter, Quarto, Percent, and Marimo conversions; official VS Code and Cursor extensions support local editing and execution. | Hex documents CLI and project import/export; its full Notebook and App experience remains hosted. Source ↗ |
Deepnote vs. Google Colab
Documented comparison| Decision factor | Deepnote | Google Colab |
|---|---|---|
| Core scope | Combines collaborative notebooks with data-source integrations, SQL blocks, and project-level organization. | Hosted Jupyter notebook service with access to free computing resources, including GPUs and TPUs, subject to availability and usage limits. Source ↗ |
| Pricing model | Offers a free tier and a paid Team plan listed at $39 per editor per month when billed yearly. | Offers free access; paid options and included compute benefits depend on Colab or eligible Google AI plans. Source ↗ |
| Notebook and runtime model | Projects organize notebooks, files, integrations, and a shared environment; cloud machines can be selected by project. | Notebooks are stored in Google Drive or loaded from GitHub, while execution uses account-specific virtual machines that can be terminated when idle. Source ↗ |
Only factors supported by the available research are shown. The comparison is descriptive, not a ranking.
Deepnote Features
Notebook authoring
- Python code blocks
- SQL blocks for connected databases, warehouses, dataframes, and CSV files
- Text, chart, and interactive input blocks
- Jupyter notebook import and export
Data connections
- Database and data warehouse integrations
- Cloud object storage and file-sharing integrations
- GitHub, GitLab, Bitbucket, and Azure Repos integrations
- Encrypted storage for integration credentials
Collaboration and publishing
- Real-time notebook collaboration
- Project and folder organization
- Notebook scheduling and notifications
- Interactive apps and dashboard publishing
AI and APIs
- AI code completion and notebook agent
- Agent can create, edit, run, and inspect notebook blocks
- Notebook execution API
- Public API v2 preview
- Model Context Protocol server
Demo & Screenshots
Deepnote Specifications
| Founded | 2019 |
|---|---|
| Primary interface | Web browser |
| Deployment | Managed cloud; dedicated single-tenant and customer-cloud options are documented |
| Cloud provider | AWS for processing and storage, according to Deepnote's security overview |
| Notebook formats | Jupyter .ipynb; converter also supports Quarto, Percent, and Marimo |
| API | Notebook execution API on Team and Enterprise; Public API v2 is in preview |
| Free plan limits | Up to 3 editors, 5 projects, and 7-day revision history |
| Team plan revision history | 30 days |
| Data security | Deepnote documents SOC 2 Type II, AES-256 at-rest encryption, and TLS 1.2 or higher in transit |
| Free trial | 14 days for Team |
Deployment & System Footprint
Verified installation, hosting, administration, or environment details that can affect implementation.
| Standard hosting | Managed, multi-tenant cloud service; Deepnote's security documentation says it uses AWS for processing and storage. Source ↗ |
|---|---|
| Dedicated or customer-cloud deployment | Deepnote documents managed single-tenant and customer-cloud deployment options; contact sales for details. Source ↗ |
| Local development | Official extensions support notebook editing and execution in VS Code and Cursor, with Python 3.10 or higher required. Source ↗ |
Alternatives
Hex is a relevant alternative for teams whose main requirement is warehouse-centered BI, self-service exploration, reporting, and analytics apps. Its official Team price is $75 per editor per month.
Google Colab is a relevant alternative for individuals, educators, and researchers seeking hosted Jupyter notebooks and free access to compute resources. Google notes that free resources are not guaranteed and usage limits can fluctuate.
Migration & Lock-In
Documented portability, standards, export, or switching considerations. No switching-cost score is shown unless the evidence supports one.
Notebook import and export
Deepnote documents importing and exporting Jupyter .ipynb notebooks. Its converter also supports Quarto, Percent, and Marimo formats.
Evidence source ↗Export caveat
Deepnote-specific SQL, chart, input, and rich-text blocks may not be represented exactly in standard Jupyter exports.
Evidence source ↗Our evidence-based assessment
TechZella Score
A proprietary editorial score based on product capabilities, usability, value, performance, support and user sentiment evidence.
8.3/10Moderate confidence
The product offers integrated Python and SQL notebooks, connected data services, collaboration, scheduling, and publishing. G2 lists 387 reviews and a 4.5 average; scores are editorial assessments, not hands-on test results.
Methodology v1.0. The assessment weighs feature coverage (25%), ease of use (15%), value for money (20%), performance (15%), support (10%) and user sentiment (15%), using researched product evidence and verified review evidence where available. It is a TechZella editorial assessment, not a direct user-review average.
Editorial transparency
Our Review Methodology
Key claims are linked to the sources used to verify them. This evidence record is separate from third-party user ratings.
TechZella evaluates software using documented product capabilities, pricing information, usability and value considerations, independent user evidence where available, and competitive context. The assessment is an editorial review, not a hands-on test unless one is explicitly identified. Our editorial assessment is based on 6 documented sources.
What TechZella adds
- Combines SQL, Python, visualizations, and explanatory text in collaborative notebooks.
- Connects notebooks to databases, warehouses, file storage, and version-control services through workspace integrations.
- Publishes notebook results as interactive apps and supports notebook scheduling.
- Offers notebook API access and an MCP server for agent workflows.
Important limitations
- Free workspaces have a five-project limit, three-editor limit, and seven-day revision history.
- Free machine inactivity is listed as 15 minutes; Team and Enterprise list 24 hours.
- Additional compute and stronger machine usage can incur per-minute charges.
- Deepnote Public API v2 is marked as a preview, and its documentation warns that endpoints and schemas may change.
Evidence-backed claimsDeepnote combines Python, SQL, and no-code tools in a data-analysis workspace. The Free plan allows up to three editors and five projects. Team is listed at $39 per editor per month when billed yearly and has a 14-day free trial. Deepnote supports more than 60 data-source integrations. Deepnote offers an API for programmatic notebook execution on Team and Enterprise plans. Deepnote supports importing and exporting Jupyter notebooks. Deepnote reports SOC 2 Type II examination and specifies encryption controls. Deepnote was founded in 2019.
The official getting-started page describes Python, SQL, no-code tools, data connections, collaboration, AI assistance, and publishing.
View source ↗Verified 2026-11-07The official pricing page lists those limits and seven-day revision history for Free.
View source ↗Verified 2026-11-07The official pricing page displays the Team price, annual billing basis, and trial offer.
View source ↗Verified 2026-11-07The official getting-started page gives the integration count and names BigQuery, Snowflake, and PostgreSQL as examples.
View source ↗Verified 2026-11-07The API documentation describes programmatic notebook execution and lists plan availability.
View source ↗Verified 2026-11-07The official documentation explains .ipynb import and export and notes compatibility limits for Deepnote-specific blocks.
View source ↗Verified 2026-11-07The security overview states that Deepnote has a SOC 2 Type II report and describes AES-256 at-rest encryption and TLS 1.2 or higher in transit.
View source ↗Verified 2026-11-07A Deepnote-authored company blog post states that the company was founded in 2019.
View source ↗Verified 2026-11-07Deepnote FAQs
Answers begin with the clearest available response, followed by the context that helps you act on it.
Does Deepnote have a free plan?
Yes. The Free plan is listed as free forever and includes up to three editors and five projects. Source: Deepnote pricing.
Does Deepnote offer a free trial?
Yes. The pricing page offers a 14-day trial for Team. Source: Deepnote pricing.
Can Deepnote run SQL and Python in the same notebook?
Yes. SQL blocks can query connected data sources and their results can be used in Python workflows. Source: SQL blocks documentation.
Can I import an existing Jupyter notebook?
Yes. Deepnote documents importing and exporting .ipynb files, but some Deepnote-specific blocks may not transfer exactly. Source: Jupyter notebook documentation.
Does Deepnote provide an API?
Yes. Its API documentation describes programmatically executing existing notebooks and says the API is available on Team and Enterprise. Source: Deepnote API documentation.
Can Deepnote schedule notebook runs?
Yes. Documentation describes daily, weekly, monthly, hourly, and custom cron schedules, with hourly and custom schedules limited to Enterprise. Source: Scheduling documentation.
Community feedback
Reviews
No reviews yet. Be the first to share your experience.
Write a Review
Please log in to submit a review.