December 15th, 2025
Deepnote Pricing: Features, Pros, and Cons in 2025
By Tyler Shibata · 7 min read
I researched Deepnote pricing, and the per-editor structure means costs scale with every collaborator who needs to write or run code. Here's how each plan works so you can figure out which fits your workflow and budget in 2025.
Deepnote pricing: At a glance
Deepnote offers three pricing tiers, and the cost depends on how many editors your team needs and whether you require enterprise security features. Here's a quick comparison:
Plan | Monthly Price | Annual Price | Best For |
|---|---|---|---|
Free | $0 | $0 | Solo users, students, and small teams testing the platform |
Team | $49/editor/month | $39/editor/month | Data teams that need collaboration, scheduling, and premium integrations |
Enterprise | Custom | Custom | Organizations with SSO, HIPAA compliance, or audit log requirements |
Deepnote announced it went open-source in 2025, which gives developers more transparency into the platform. The pricing tiers remain the same, but the open-source move signals a shift toward community-driven development.
The Team plan includes $280 in CPU credits and $50 in GPU credits per month. That's typically enough for small-to-medium analysis work like dashboards, reports, and routine queries. Teams running heavier workloads (think machine learning models or large dataset processing) will likely burn through credits faster and need to purchase more or move to Enterprise.
Deepnote pricing plans breakdown
Deepnote's pricing separates casual users from teams that need collaboration and automation features. Here's what each plan includes and who it's for:
Deepnote Free plan
Price: Free
What's included: Up to 3 editors, 5 projects, unlimited viewers, basic Deepnote AI (10 code completions per month), 5 GB RAM machines, 7-day revision history, and core notebook features.
Best for: Students, solo learners, and small teams evaluating the platform before committing to a paid plan.
Pros: No cost, full notebook functionality, and unlimited viewers for sharing work.
Cons: Editor and project caps fill up fast. Missing scheduled runs, premium integrations, and a longer revision history.
Deepnote Team plan
Price: $49/editor/month (monthly) or $39/editor/month (billed annually)
What's included: Everything in Free, plus unlimited viewers and notebooks, unlimited Deepnote AI, premium integrations (BigQuery, Snowflake, Redshift), background execution, scheduled notebooks, 30-day revision history, access controls, and more powerful machines.
Best for: Data teams that collaborate on analysis, need database connections, or want automated reporting.
Pros: Unlocks the features most teams need for production work. 14-day free trial available.
Cons: Per-editor pricing adds up quickly. A 10-person team pays $390-490 per month. Some advanced integrations and security features still require Enterprise.
Deepnote Enterprise plan
Price: Custom
What's included: Everything in Team, plus custom contracts, priority support, dedicated success manager, permission groups, SSO and directory sync, private Docker images, bring your own LLM, audit logs, HIPAA compliance, federated authentication, single-tenancy options, and volume discounts.
Best for: Organizations with strict security requirements, compliance needs, or large teams that need centralized control.
Pros: Full security and governance features. Volume discounts available for larger deployments.
Cons: Requires sales conversations and contracts. Enterprise deals can run into tens of thousands per year.
What limits the Deepnote Free plan?
The Deepnote Free plan caps you at 3 editors and 5 projects per workspace. These limits work fine for solo exploration or small teams, but they fill up fast once you're running multiple analyses or onboarding more collaborators. The 7-day revision history also makes it harder to track changes over time. Key features locked behind paid tiers include:
Scheduled notebooks: Automating recurring analysis requires Team or Enterprise.
Premium integrations: BigQuery, Snowflake, Redshift, and other data warehouse connections require a paid plan.
Advanced compute: Higher-spec machines (16 GB+ RAM) require Team or Enterprise.
Background execution: Running notebooks without keeping the browser open requires a paid plan.
I'd recommend upgrading once your team outgrows the 3-editor limit or when you need to connect to production databases and schedule recurring reports.
Is Deepnote worth the cost?
Deepnote is worth the cost if your team collaborates on notebooks regularly, needs data warehouse connections, or wants to automate analysis with scheduled runs. The per-editor model makes it harder to justify for teams where only a few members need full editing access while others review.
Here's how to decide:
It's worth it if: Your team writes Python or SQL together, connects to cloud data warehouses, and needs real-time collaboration with version history.
It's best for: Data science teams, analytics groups, and researchers who want Jupyter compatibility with better collaboration than local notebooks.
Skip it if: You only need quick insights from business data without writing code, or you're looking for natural-language analysis that non-technical users can run.
The collaboration features work well for technical teams. For non-technical users who want answers without SQL or Python, a tool designed for natural-language queries might be a better fit.
Deepnote alternatives and pricing comparison
Deepnote isn't the only option for collaborative notebooks and data analysis. I tested a few tools that take different approaches to teamwork, pricing, and technical requirements.
Here's how Deepnote alternatives compare:
Tool | Starting Price (Billed monthly) | Best For | Key Advantage |
|---|---|---|---|
Business users who want insights without writing code | Natural-language analysis with charts, scheduled reports, and data connectors | ||
Data teams that need notebooks plus data apps | Combines notebooks with drag-and-drop dashboards and team collaboration | ||
Individuals who need free GPU access for machine learning | Free cloud notebooks with GPU/TPU support and Google Drive integration |
Julius: Best for business users who want insights without writing code
We designed Julius to help you explore data without writing SQL or Python. You can connect sources like Postgres, BigQuery, Google Sheets, or Stripe and ask questions in plain English to get charts, summaries, and shareable reports.
Julius starts at $20 per month for the Plus plan. Compared to Deepnote pricing, Julius costs less per user and skips the code-first learning curve.
The platform is built for business users who need answers fast, whether you're a marketer tracking campaign performance, a finance lead monitoring cash flow, or an ops manager pulling KPIs on demand. No coding skills or IT support required. When analytics teams want to get involved, they can fine-tune outputs or build repeatable Notebooks that keep reporting consistent across the organization.
Read our Julius vs Deepnote comparison if you’d like to learn more.
Hex: Best for data teams that need notebooks plus data apps
Hex combines collaborative notebooks with a drag-and-drop interface for building data apps. I found it useful for teams that want to move from exploratory analysis to published dashboards without switching tools. The collaboration features include real-time editing, version control, and scheduled runs.
Hex starts at $36 per editor per month for the Professional plan, with the Team plan at $75/editor/month. It's a good option for data teams that need both notebooks and internal reporting tools. The per-editor pricing scales similarly to Deepnote, so larger teams face similar budget decisions.
Google Colab: Best for individuals who need free GPU access
Google Colab offers free cloud-based Jupyter notebooks with access to GPUs and TPUs. The free tier works well for learning and prototyping, but sessions disconnect after periods of inactivity. You can save your work to Google Drive to keep files between sessions.
Google Colab is free for basic use, with Colab Pro at $9.99/month for faster GPUs and longer runtimes. It's ideal for solo researchers and students who need computing power without paying for infrastructure. The limited collaboration features and session timeouts make it less practical for team workflows.
Julius vs Deepnote: Which should you choose?
Julius is built for business users who want fast insights from connected data without writing code. Deepnote focuses on technical users who need collaborative Python and SQL notebooks with version control and scheduling.
Use this quick guide to figure out which fits your needs:
Julius is better for: Non-technical users who want charts, summaries, and reports from natural-language questions. It works well for marketers, finance teams, and managers who need quick answers without learning SQL or Python.
Deepnote is better for: Data scientists and analysts who write code daily and need Jupyter-style notebooks with real-time collaboration. Deepnote pricing makes the most sense when your workflow involves Python, SQL, and team-based analysis.
Use both if: Your data team uses Deepnote for deep technical work while business users run quick queries and scheduled reports in Julius. This setup lets technical and non-technical teams work independently without creating bottlenecks.
Ready to see how Julius handles your data questions? Try Julius for free today.
My bottom line on Deepnote pricing
Deepnote pricing makes sense for technical teams that need collaborative notebooks with scheduling and database connections, but the per-editor model gets expensive once you add more than a few collaborators. The jump from Free to Team forces an all-or-nothing decision when you hit the 3-editor cap.
The Team plan works well for data teams who spend their days in Python or SQL and need real-time collaboration with version history. It's built for code-first workflows, but I found the lack of natural-language querying means non-technical teammates still need to rely on analysts for answers.
If your focus is getting quick answers from data, sharing insights with stakeholders, or running analysis without writing SQL, I'd recommend trying Julius alongside or instead of Deepnote. It gives you fast results and clear visuals without the technical overhead of a full notebook environment.
Frequently asked questions
Does Deepnote offer a free trial?
Yes, Deepnote offers a 14-day free trial of the Team plan. You don't need a credit card to start the trial. At the end of 14 days, you can continue on a paid plan or drop back to the Free tier with its 3-editor and 5-project limits.
What happens when you downgrade from Deepnote Team to Free?
When you downgrade from Deepnote Team to Free, your workspace reverts to Free tier limits. Excess editors become viewer-only, and you can't create new projects above the 5-project cap. Scheduled notebooks stop running, revision history beyond 7 days becomes inaccessible, and premium integrations disconnect.
Can you use Deepnote for enterprise data warehouses?
Yes, you can use Deepnote for enterprise data warehouses like BigQuery, Snowflake, Redshift, and Databricks on the Team and Enterprise plans. The Free plan supports PostgreSQL, MySQL, and file uploads, but warehouse connections require a paid subscription.
