# sqliteviz **Repository Path**: alitrack/sqliteviz ## Basic Information - **Project Name**: sqliteviz - **Description**: 在浏览器中即时离线 SQL 驱动的数据可视化 - **Primary Language**: JavaScript - **License**: Apache-2.0 - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 2 - **Forks**: 0 - **Created**: 2021-12-01 - **Last Updated**: 2024-04-29 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README

# sqliteviz Sqliteviz is a single-page offline-first PWA for fully client-side visualisation of SQLite databases or CSV files. With sqliteviz you can: - run SQL queries against a SQLite database and create [Plotly][11] charts and pivot tables based on the result sets - import a CSV file into a SQLite database and visualize imported data - export result set to CSV file - manage inquiries and run them against different databases - import/export inquiries from/to a JSON file - export a modified SQLite database - use it offline from your OS application menu like any other desktop app https://user-images.githubusercontent.com/24638357/128249848-f8fab0f5-9add-46e0-a9c1-dd5085a8623e.mp4 ## Quickstart The latest release of sqliteviz is deployed on [sqliteviz.com/app][6]. ## Wiki For user documentation, check out sqliteviz [documentation][7]. ## Motivation It's a kind of middleground between [Plotly Falcon][1] and [Redash][2]. ## Components It is built on top of [react-chart-editor][3], [PivotTable.js][12], [sql.js][4] and [Vue-Codemirror][8] in [Vue.js][5]. CSV parsing is performed with [Papa Parse][9]. [1]: https://github.com/plotly/falcon [2]: https://github.com/getredash/redash [3]: https://github.com/plotly/react-chart-editor [4]: https://github.com/sql-js/sql.js [5]: https://github.com/vuejs/vue [6]: https://sqliteviz.com/app/ [7]: https://sqliteviz.com/docs [8]: https://github.com/surmon-china/vue-codemirror#readme [9]: https://www.papaparse.com/ [10]: https://github.com/lana-k/sqliteviz/wiki/Predefined-queries [11]: https://github.com/plotly/plotly.js [12]: https://github.com/nicolaskruchten/pivottable