Chartbrew adds live dashboards with AI

- Chartbrew is pitching itself as an open-source reporting platform for live dashboards, pairing database and API connections with an AI assistant that can generate queries, charts, and reports. - The company’s latest public release is Chartbrew v5.0.0 on GitHub, while its site says the AI assistant can answer natural-language questions, build visualizations automatically, and post data conversations in Slack. - The shift extends Chartbrew beyond static reporting into conversational analytics and embedded client dashboards. (github.com) (chartbrew.com)

Chartbrew is positioning its software as a live-dashboard tool with an AI assistant that can turn database and application data into charts and reports. (chartbrew.com 1) (chartbrew.com 2) The product connects to databases and application programming interfaces, or APIs, then lets teams build dashboards for revenue, signups, usage, and other operating metrics. Its homepage says those dashboards can be shared internally, embedded in products, or exposed to clients with controlled access. (chartbrew.com 1) (chartbrew.com 2) The artificial intelligence layer sits on top of that reporting stack. Chartbrew says users can ask questions in natural language, let the assistant build the underlying queries, and generate charts or reports without writing the query by hand. (chartbrew.com 1) (chartbrew.com 2) That matters because dashboard software usually splits into two jobs: one system stores the data, and another business-intelligence tool turns it into charts. Chartbrew is selling a lighter setup that combines source connections, reusable datasets, dashboards, alerts, and sharing in one product. (chartbrew.com) (chartbrew.com) The company is also leaning on open-source distribution. Its main GitHub repository describes Chartbrew as an open-source reporting platform for APIs plus SQL and NoSQL databases, and the project shows about 3.7 thousand stars and more than 400 forks. (github.com) The most recent tagged GitHub release is v5.0.0, published last week, with the repository showing active commits in the same period. That suggests the AI-and-live-dashboard pitch is tied to a product that is still being updated, not a dormant demo. (github.com) (github.com) Chartbrew’s feature pages say the assistant works across MySQL, PostgreSQL, MongoDB, Firestore, and other supported databases. The site also says teams can mention a bot in Slack channels to ask questions about their data and get chart-driven answers back. (chartbrew.com) (chartbrew.com) The company had already been moving in this direction before the current pitch. In April 2025, Chartbrew v4 added scheduled dashboard snapshots, smarter filters, and performance upgrades aimed at client reporting workflows. (chartbrew.com) The result is a product aimed at teams that want current metrics without wiring together spreadsheets, slide decks, and a heavier business-intelligence stack. Chartbrew’s own homepage frames that as replacing recurring spreadsheet work and stale dashboard screenshots with a live reporting layer. (chartbrew.com)

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