Head-to-Head
Deepnote vs Rows (2026)
Deepnote
Freemium★ 4.6
Rows
Freemium★ 4.4
Deepnote is a collaborative data science notebook for teams that code - Python, SQL, R in a Jupyter-compatible environment with real-time multiplayer and scheduling. Rows is an AI-powered spreadsheet with built-in data connectors and GPT functions inside cells, built for analysts who think in spreadsheets rather than code. The choice depends on whether your team writes code or formulas.
Feature Comparison
Ease of Use
Rows requires no coding - GPT functions work like Excel formulas. Deepnote requires Python or SQL knowledge to get full value.
Data Connectivity
Rows has 50+ native connectors to live data sources - Stripe, HubSpot, Google Analytics. Deepnote connects to databases via code and has fewer turnkey integrations.
Collaboration
Deepnote offers real-time multiplayer notebook editing similar to Google Docs. Rows supports collaborative editing but is less optimized for simultaneous code development.
AI Features
Rows embeds GPT directly into cells for classification, summarization, and generation at scale. Deepnote AI assists with code generation and debugging.
Sharing and Publishing
Rows publishes analyses as interactive shareable reports with a URL. Deepnote can publish notebooks but the output is less polished for non-technical audiences.
Scalability
Deepnote handles large datasets with compute resources and scheduled runs. Rows works best for datasets that fit in a browser-based spreadsheet environment.
Pricing
Both offer free plans. Deepnote teams plans from $39/month. Rows paid plans from $59/month.
Verdict
This comparison is context-dependent. Deepnote scores 28/35 and Rows scores 31/35. Choose based on your specific workflow needs.