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quary

> 编程语言
Open source

Open-source BI for engineers

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About

Open-source BI for engineers

<h1 align="center">Quary</h1>
<h3 align="center">Business Intelligence for Engineers </h3>

With Quary, engineers can:

  • Connect to their Database
  • Write SQL queries to transform, organize, and document tables in a database
  • Create charts, dashboards and reports (in development)
  • Test, collaborate & refactor iteratively through version control
  • Deploy the organised, documented model back up to the database

View the documentation.

️ Supported Databases

️ Asset Types in Quary

Define and manage the following asset types as code:

  • Sources: Define the external data sources that feed into Quary, such as database tables, flat files, or APIs (with DuckDB).
  • Models: Transform raw data from sources into analysis-ready datasets using SQL, this lets engineers split complex queries into atomic components.
  • Charts: Create visual representations of your data using SQL.
  • ** Dashboards (WIP):** Combine multiple charts into a single view, allowing engineers to monitor and analyze data in one place.
  • ** Reports (WIP):** Create detailed reports to share insights and findings with your team or stakeholders.

Getting Started

Installation

Quary is a VSCode Extension (Interface) & Rust-based CLI (Core)

Extension

The VSCode extension can be installed here. Note that it depends on the CLI being installed.

CLI

Homebrew installation

bash
brew install quarylabs/quary/quary

Linux/Mac through curl

Quary can be installed using curl on Linux/Mac using the following command:

bash
curl -fsSL https://raw.githubusercontent.com/quarylabs/quary/main/install.sh | bash

Other installations

Other builds are available in the releases page to download.

Usage

Once installed, a sample project can be created and run as follows:

bash
mkdir example # create an empty project folder
cd example
quary init    # initialize DuckDB demo project with sample data
quary compile # validate the project structure and model references without database
quary build   # build and execute the model views/seeds against target database
quary test -s   # run defined tests against target database

Community

Join our Slack channel, for help, ideas, and discussions.

Support

If you run into any problems using Quary, please let us know. We want Quary to be easy-to-use, so if you are getting confused, it is our fault, not yours. Create an issue and we'll be happy to help you out.

Check out our other projects

SQRUFF, a compact, high-speed SQL linter, engineered with Rust efficiency.

Issues· 0 open

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> Tags

Rustanalyticsbig-databusiness-intelligencedata-modeling

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> Details

PublishedAug 1, 2026
UpdatedSep 17, 2026
Category编程语言
PricingOpen source

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