Business Intelligence · head to head
Deepnote vs Refact

Deepnote
Business Intelligence
Collaborative cloud workspace for data analytics and machine learning
- From
- Free
- Free plan
- Yes

Refact
Developer Tools
Autonomous AI coding agent for development tasks
- From
- Free
- Free plan
- Yes
The short version
- Deepnote is a collaborative cloud-based workspace; Refact is an autonomous AI coding agent.
- Free plans on both; paid from $39/mo and $10/mo.
- Only Deepnote lists collaborative notebooks; only Refact lists IDE chat.
- Where Deepnote falls short: free plan limited to 3 editors, restricting team usage.
- Where Refact falls short: requires configuration for optimal performance.
- Prices and features on this page were last checked on 29 August 2026.
Where they differ
Only the attributes on which Deepnote and Refact actually diverge.
Identical on both: starting price (Free), free tier (Yes).
Not yet recorded: founded for Deepnote.
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Deepnote
- Collaborative notebooks
- Interactive dashboards
- Data agent building
- Scheduled pipelines
- Model management
- 100+ integrations
- GPU support
- API deployment
Only in Refact
- Autonomous agent workflows
- IDE chat
- Real-time code completions
- GitHub integration
- Database integration
- On-premise deployment
- Multi-LLM support
- 25+ language support
What people use each for
The jobs each tool is most often brought in to do.
Deepnote
- Data exploration and analysis workflowsnot Refact
- Building interactive business intelligence dashboardsnot Refact
- Collaborative machine learning model developmentnot Refact
- Automating ETL and data pipeline orchestrationnot Refact
- Creating shareable reports without exportsnot Refact
Refact
- Autonomous code generation for development tasksnot Deepnote
- End-to-end bug fixes and refactoringnot Deepnote
- Multi-language software development accelerationnot Deepnote
- Enterprise development with data privacy requirementsnot Deepnote
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Deepnote
- Free plan limited to 3 editors, restricting team usage
- Limited revision history on free plan compared to competitors
- Requires Team plan or higher for automated scheduling
- GPU support incurs additional charges beyond base subscription
- No mentioned offline capability
Refact
- Requires configuration for optimal performance
- On-premise deployment adds operational complexity
- Free tier limited by daily agent request quota
- Coin system adds complexity to cost calculation
Pricing, plan by plan
Deepnote
Free- FreeFree
- Up to 3 editors
- Up to 5 projects
- Limited Deepnote AI
- Team$39/mo
- Unlimited viewers and notebooks
- Full Deepnote AI access
- Premium integrations
- EnterpriseOn request
- Everything in Team plan
- Custom contracts
- Priority support
Refact
Free- FreeFree
- Limited daily agent usage
- Unlimited completions
- 2,000 coins for agent and chat
- Pro$10/mo
- 40 daily agent requests
- 64k context window
- 10,000 coins monthly
- EnterpriseOn request
- On-premise deployment
- Custom coin allocation
- Fine-tuning support
Which should you pick?
Choose Deepnote if
- You need collaborative notebooks.
- You want to start without paying.
- You work on Web, API.
- You also want interactive dashboards.
Choose Refact if
- You need autonomous agent workflows.
- You want to start without paying.
- You work on VS Code, Web.
- You also want ide chat.
Questions people ask
- Is Deepnote or Refact better?
- Neither clearly leads. Deepnote starts at Free and Refact at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Deepnote or Refact?
- Deepnote starts at Free and Refact at Free.
- Does Deepnote or Refact run on more platforms?
- Deepnote runs on Web, API. Refact runs on VS Code, Web.
- Can I use Deepnote for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Deepnote best used for?
- Deepnote is most often used for data exploration and analysis workflows, building interactive business intelligence dashboards, collaborative machine learning model development, automating etl and data pipeline orchestration. Of those, data exploration and analysis workflows and building interactive business intelligence dashboards are not what Refact is typically brought in for.
- What can Deepnote do that Refact cannot?
- Deepnote covers Collaborative notebooks, Interactive dashboards, Data agent building, Scheduled pipelines. Refact covers Autonomous agent workflows, IDE chat, Real-time code completions, GitHub integration.
Answered from the vendors’ own pages
Deepnote: What is included in the free Deepnote plan?
The free plan includes up to 3 editors, up to 5 projects, limited Deepnote AI, basic machines with 5 GB RAM, and 7-day revision history.
SourceRefact: How many programming languages does Refact support?
Refact supports 25+ programming languages including Python, JavaScript, Go, Rust, Java, C++, and many others.
SourceDeepnote: What data sources can Deepnote integrate with?
Deepnote integrates with 100+ data sources including major data warehouses like Snowflake, BigQuery, and Redshift, as well as BI platforms like Looker, Tableau, and Power BI.
SourceRefact: Can I deploy Refact on-premises?
Yes. Refact offers on-premise deployment options for organizations requiring complete data control and privacy.
SourceDeepnote: Does Deepnote support collaboration?
Yes, Deepnote provides real-time collaborative notebooks where multiple team members can work simultaneously. The Team plan allows unlimited viewers and notebooks.
SourceRefact: What LLMs does Refact support?
Refact works with multiple LLMs including Claude, GPT-4, and open-source models, giving you flexibility in model selection.
SourceDeepnote: What compliance certifications does Deepnote have?
Deepnote is SOC 2, HIPAA, GDPR, and CCPA compliant and offers role-based access control, single sign-on, and directory synchronization.
SourceRelated pages
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- Refact vs Databox
- Refact vs Domo
- Refact vs DashThis
- Refact vs Grow
- Refact vs Periscope Data
- Refact vs Luzmo
- Refact vs Phocas
- Refact vs Preset
- Refact vs ProfitWell
- Refact vs Quantum Metric
- Refact vs Quid
- Refact vs Reportz
- Refact vs GitHub Copilot
- Refact vs Swagger UI
- Refact vs Sweep
- Refact vs GitHub
- Refact vs Coder
- Refact vs Deep Code
- Refact vs Pieces for Developers
- Refact vs CodeSandbox
- Refact vs GNU Emacs
- Refact vs Moonrepo
- Refact vs Pants Build
- Refact vs Atlantis
- Refact vs Ona (formerly Gitpod)
- Refact vs GNAT Pro
- Refact vs Keycloak
- Refact vs Penpot
- Refact vs PyCharm
- Refact vs Sublime Text
