Vizzy

Vizzy is an open-source tool for rapid data visualization powered by ChatGPT. It’s designed for people who want to turn raw datasets into clear visuals quickly—without spending hours wiring up chart libraries or writing exploratory scripts. You upload your data (commonly as CSV, JSON, or XML), describe what you want to see in plain English, and Vizzy generates visual outputs such as charts, graphs, maps, and other data-driven graphics.

A core idea behind Vizzy is using an LLM as a visualization assistant: instead of manually transforming data and iterating on chart settings, you can ask for comparisons, trends, breakdowns, or geographic views and refine the result through conversation. This makes it useful for fast analysis, story exploration, and lightweight reporting—especially when you’re still figuring out what questions to ask.

Vizzy is MIT-licensed and community-friendly, so teams can inspect the code, self-host, and adapt it for their own workflows. To run LLM-powered processing, Vizzy can connect to OpenAI using an API key (or you can explore paid account options depending on your usage needs). Once connected, the typical workflow is straightforward: upload a dataset, prompt Vizzy with the visualization you want (including filters, groupings, or time ranges), then iterate until the output matches your intent.

Vizzy has been showcased across a variety of public-data and media-analysis projects—for example, exploring TV show script data, tracking legislation changes over time, analyzing state-level health statistics, comparing news coverage against CDC cause-of-death data, and examining information about U.S. National Parks. For help or support, the listed contact email is [email protected]. Additional resources include the pricing page (https://vizzy.rbren.io/pricing) and the GitHub repository (https://github.com/rbren/vizzy).