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[PR #367] Add Bonnard - agentic schema layer with multi-warehouse MCP support #1417

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opened 2026-04-17 02:41:21 -05:00 by GiteaMirror · 0 comments
GiteaMirror commented 2026-04-17 02:41:21 -05:00
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📋 Pull Request Information

Original PR: https://github.com/oxnr/awesome-bigdata/pull/367
Author: @maxmealing
Created: 3/4/2026
Status: 🔄 Open

Base: master ← Head: add-bonnard

📝 Commits (1)

  • 278f8dc Add Bonnard - agentic schema layer with multi-warehouse MCP support

📊 Changes

1 file changed (+1 additions, -0 deletions)

View changed files

📝 README.md (+1 -0)

📄 Description

Adds Bonnard to the Frameworks section.

Bonnard is an open-source agentic schema for reliable data outputs. Apache 2.0 licensed. Supports Snowflake, BigQuery, Databricks, PostgreSQL, and DuckDB via MCP, REST, or SQL.

Website: https://bonnard.dev
GitHub: https://github.com/bonnard-data/bonnard

🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.

## 📋 Pull Request Information **Original PR:** https://github.com/oxnr/awesome-bigdata/pull/367 **Author:** [@maxmealing](https://github.com/maxmealing) **Created:** 3/4/2026 **Status:** 🔄 Open **Base:** `master` ← **Head:** `add-bonnard` --- ### 📝 Commits (1) - [`278f8dc`](https://github.com/oxnr/awesome-bigdata/commit/278f8dcf42f8334851a25dcbf7e5f9dc5858c6d4) Add Bonnard - agentic schema layer with multi-warehouse MCP support ### 📊 Changes **1 file changed** (+1 additions, -0 deletions) <details> <summary>View changed files</summary> 📝 `README.md` (+1 -0) </details> ### 📄 Description Adds Bonnard to the Frameworks section. Bonnard is an open-source agentic schema for reliable data outputs. Apache 2.0 licensed. Supports Snowflake, BigQuery, Databricks, PostgreSQL, and DuckDB via MCP, REST, or SQL. Website: https://bonnard.dev GitHub: https://github.com/bonnard-data/bonnard --- <sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>
GiteaMirror added the pull-request label 2026-04-17 02:41:21 -05:00
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Reference: github-starred/awesome-bigdata#1417
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