This article explains how to use Grafana Assistant for analyzing and visualizing CAN bus data. It highlights key features like zero setup, data exploration, and automated dashboard creation, aimed at engineers who need insights without extensive coding knowledge.

This article discusses the evolving role of SQL in the context of AI-generated code, highlighting the tension between writing code for efficiency and reading it for comprehension. It proposes the need for tools that help those familiar with SQL understand queries better, suggesting that current solutions often cater to those who don’t know SQL at all.

Ada.im offers a tool for creating data dashboards and visualizations quickly, catering to users with varying levels of technical expertise. It features automatic visualization, a prediction tool based on historical data, and supports multiple export formats. Users appreciate its ease of use, though some report concerns with setup and data handling.

mviz is a Claude skill that simplifies the creation of static reports for ad hoc data analysis by converting compact JSON specifications into professional HTML visualizations. It emphasizes a fast, AI-driven workflow that allows users to iterate quickly, generate reports, and utilize a variety of chart types without extensive coding. The tool works seamlessly with data from various sources, including local files and cloud databases.