February 2026: Monthly summary for marimo-team/marimo focusing on feature delivery, quality, and business impact. Overview: - This month centered on aligning SQL output with user-facing DataFrame display preferences, enhancing consistency across notebooks and reports. Key achievements and highlights: - Implemented SQL output formatting to respect DataFrame display configuration. When display.dataframes is set to "plain", mo.sql() now formats output using plain styling instead of the rich interactive table viewer, ensuring consistency with standard DataFrame displays. - Added automated tests to verify both plain and rich output paths (tests/_sql/test_sql.py), including scenarios for plain output when not opinionated and rich output when opinionated. - Updated internal formatting logic to respect include_opinionated() gating, maintaining backward-compatible behavior while enabling preferred plain or rich rendering based on configuration. Impact and value: - Improves user experience by delivering predictable SQL results that mirror DataFrame display settings, reducing confusion and rework in notebooks and dashboards. - Increases reliability and test coverage, reducing regression risk for SQL output rendering. Technologies and skills demonstrated: - Python, SQL formatting integration, and DataFrame display customization. - Test-driven development with pytest, including scenario-based validation for both plain and rich outputs. - Code quality improvements through gated rendering paths and maintainable formatting logic.