https://pypi.org/project/gibran/ Recent updates to the Python Package Index for gibran en https://pypi.org/project/gibran/0.1.2/ Gibran: governed metric layer + non-LLM NL-to-SQL over DuckDB (Postgres/Snowflake/BigQuery via sqlglot). 25 metric primitives, 29 NL patterns, identity-aware row+column governance, audit-log redaction, optional local HTTP UI. Structural no-hallucination guarantee (pattern templates, never an LLM). Tue, 26 May 2026 03:51:38 GMT https://pypi.org/project/gibran/0.1.1/ Gibran: governed metric layer + non-LLM NL-to-SQL over DuckDB (Postgres/Snowflake/BigQuery via sqlglot). 25 metric primitives, 26 NL patterns, identity-aware row+column governance, audit-log redaction, optional local HTTP UI. Structural no-hallucination guarantee (pattern templates, never an LLM). Fri, 15 May 2026 14:24:41 GMT https://pypi.org/project/gibran/0.1.0/ Gibran: governed metric layer + non-LLM NL-to-SQL over DuckDB (Postgres/Snowflake/BigQuery via sqlglot). 25 metric primitives, 26 NL patterns, identity-aware row+column governance, audit-log redaction, optional local HTTP UI. Structural no-hallucination guarantee (pattern templates, never an LLM). Fri, 15 May 2026 05:59:59 GMT https://pypi.org/project/gibran/0.0.2/ Gibran: governed metric layer + non-LLM NL-to-SQL over DuckDB. 19 metric primitives (incl. cohort_retention, funnel, multi_stage_filter); identity-aware row + column governance; audit-log redaction; pattern-template NL with structural no-hallucination guarantee. Thu, 14 May 2026 16:38:59 GMT https://pypi.org/project/gibran/0.0.1/ Gibran: governed analytics + metric layer over DuckDB. YAML-defined sources/metrics/policies; queries flow through an identity-aware governance layer that rewrites and audits every attempt. Thu, 14 May 2026 04:29:45 GMT