DataLine is a privacy-first, open-source desktop platform for exploring databases through natural-language questions while keeping data and processing context on the user’s device. Users should connect with read-only credentials, protect local devices and backups, inspect generated SQL, test calculations and joins, constrain edits, verify visualizations and retain qualified analyst approval.
Use authorized, minimal inputs and grant integrations the least access required. Configure privacy, retention, sharing, quality, accessibility, disclosure, export, governance, moderation and spending controls. Test representative cases, verify generated facts, calculations, citations, code, queries, model output and visual details, preserve originals and version history, and retain accountable human approval before publication, deployment or operational action.
DataLine is free and open source. Local hardware, model APIs, databases, hosting, development, maintenance and optional third-party services may create separate costs.
AI output can be inaccurate, biased, derivative, insecure, incomplete or misleading. Review consent, copyright, commercial rights, training and retention terms, renewals, refunds, platform rules and applicable law. Database, analytics, finance, healthcare, computer-vision, customer-service and enterprise workflows require qualified human review.
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