Panel
A Python framework for building interactive data exploration tools and web applications.
Work
Free
View Pricing
Data visualization
Dashboard creation
Interactive application development
Mode
4.6
Paid Users highly value the hybrid SQL/Python approach, though some note a steep learning curve for non-technical users.
The unified data science platform where SQL, Python, and AI-powered insights converge.
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Refined 3/2/2026
About Mode
Mode represents a critical evolution in the Modern Data Stack, particularly following its acquisition by ThoughtSpot in 2023. As of 2026, it serves as a high-fidelity interface for data teams that require the precision of code-first analysis (SQL, Python, R) alongside the accessibility of AI-driven exploration. Its technical core is defined by the Helix data engine, a high-performance in-memory database that caches data results to allow for sub-second filtering and pivoting of millions of rows without taxing the underlying warehouse. Mode’s architecture is uniquely positioned for 2026 market demands by integrating ThoughtSpot Sage, an LLM-powered natural language layer that allows non-technical stakeholders to query complex data models created by analysts. This 'hybrid' approach—where data scientists build the logic in Python and business users explore via natural language—eliminates the traditional BI bottleneck. The platform supports deep integration with Snowflake, BigQuery, and Databricks, providing a governed, collaborative environment for everything from ad-hoc discovery to production-grade financial modeling.
Core Capabilities
Mode represents a critical evolution in the Modern Data Stack, particularly following its acquisition by ThoughtSpot in 2023.
