
🕶️ Data La Vista 🕶️ Tell your expensive BI tools: "Data la vista, baby!" DataLaVista is a lightweight, client-side reporting and dashboard toolkit. It brings the full power of SQL directly to your browser, allowing you to build high-performance visualizations without the need for expensive server-side licenses or complex backend infrastructure. This is a beta release, ready for early adopters who want to query. Created by Gabriel Mongefranco, Jeremy Gluskin, and Shelley Boa at the University of Michigan, with contributions from the Automators Anonymous community of practice at Michigan Medicine. Come with me if you want to query Most enterprise data is trapped behind bloated frameworks or expensive BI tools. Data La Vista terminates them to free your data: Zero Server Footprint: 100% JavaScript. Your browser is the engine. Full SQL Support: Query your SharePoint lists and flat files as if they were a relational database. Pluggable Architecture: Works in SharePoint today; works in React, Vue, or vanilla HTML tomorrow. Format Agnostic: Support for JSON, REST APIs, Excel (XLSX), and CSV is built into the roadmap. Come With Me If You Want To Update "Hasta La Vista, Beta 1" Lots of exciting enhancements in Beta 2! Re-architected the way data is loaded, now making extensive use of SQL views in the backend to keep friendly table and column names throughout. Improved the documentation, particularly around SharePoint. Re-design for the Advanced Query Builder with better auto-join support for SharePoint lookup lists and SQLite table relatioships. Improved aggregation, filtering, and sorting options in both the query builders and the dashboard designer. Full Changelog: https://github.com/DepressionCenter/datalavista/compare/v0.1-beta...v0.2-beta To learn more, visit: https://github.com/DepressionCenter/datalavista I'll be back... Copyright © 2026 The Regents of the University of Michigan
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
