by sidequery · MCP Server · ★ 105
Sidemantic The universal metrics layer for consistent metrics across your data stack. Compatible with 15+ semantic model formats. Supported Formats: Sidemantic (YAML, Python or SQL), Power BI TMDL, Cube, dbt MetricFlow, LookML, Hex, Rill, Superset, Omni, BSL, GoodData LDM, Snowflake Cortex, Malloy, OSI, AtScale SML, ThoughtSpot TML Databases: DuckDB, MotherDuck, PostgreSQL, BigQuery, Snowflake, ClickHouse, Databricks, Spark SQL (also via ADBC) Documentation Demo (50+ MB data download, runs in your browser with Pyodide + DuckDB) The installer downloads the skill to and symlinks it into .
| Stars | 105 |
| Forks | 13 |
| Language | Python |
| Category | MCP Server |
| License | AGPL-3.0 |
| Quality Score | 62.540667835746/100 |
| Open Issues | 6 |
| Last Updated | 2026-07-04 |
| Created | 2025-10-04 |
| Platforms | cli, mcp, python |
| Est. Tokens | ~16k |
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sidemantic is The universal metrics layer. Compatible with 15+ formats: Cube, MetricFlow, LookML, Omni, BSL, LDM, Cortex, Malloy, OSI, SML, TML, Hex, Rill, Superset. It is categorized as a MCP Server with 105 GitHub stars.
sidemantic is primarily written in Python. It covers topics such as ai, analytics, analytics-engineering.
You can find installation instructions and usage details in the sidemantic GitHub repository at github.com/sidequery/sidemantic. The project has 105 stars and 13 forks, indicating an active community.
sidemantic is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.