A cross platform way to express data transformation, relational algebra, standardized record expression and plans.
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Updated
Sep 27, 2026 - Python
A cross platform way to express data transformation, relational algebra, standardized record expression and plans.
Prototype for execution-plan-driven data standardization, schema profiling, validation, and preview generation.
Read-only MCP server for ClickHouse: SELECT queries, EXPLAIN plan/pipeline/syntax analysis, and a snapshot mode that spills large results to a CSV resource. Read-only is enforced by the engine — every client carries readonly=1, so writes, external table functions and query-level SETTINGS are refused. Multi-cluster profiles; ships on PyPI.
Five SQL Server performance pathologies, each with the execution plan before and after and the page counts to prove it. Reproducible with one command.
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