helio

Helio allows users to build dashboards by connecting data sources to visual pipelines. It supports various data inputs including CSV files, SQL databases, and REST APIs. The core workflow follows a path from Data Source to Pipeline, then to Outputs, and finally to the Dashboard. Key capabilities include: - Visual Pipelines: Over 20 transformation operations such as filtering, aggregating, joining, pivoting, and windowing, with step-by-step previews. - Dashboard Components: Support for tables, metrics, charts, timelines, and collections, alongside markdown, text, and images. - AI Assistant: An agent-native interface that allows users to describe changes in plain language, which are then presented as patch sets (diffs) for review and application. - Alerting and Scheduling: Threshold-based rules for pipeline outputs and cron/interval schedules for data runs. - Agent Integration: An MCP server that enables external agents to manage sources, author pipelines, and create panels via a personal access token. - Portability: Dashboards can be exported and imported as JSON, and the platform is available as a mobile-friendly PWA. The technical stack consists of a React 19/TypeScript frontend and a Scala 2.13/PostgreSQL backend.