Vizzy vs DATAKU

Vizzy is a data visualization platform that leverages Large Language Models (LLMs) to help users quickly transform raw data into clear visual stories. It supports a wide range of data types and formats, allowing both beginners and experienced analysts to create insightful charts, maps, and graphs without deep technical skills. Users connect their own OpenAI API key, ensuring data privacy as keys are stored only in the browser and not on Vizzy's servers. The platform offers a public project gallery showcasing diverse datasets like U.S. state obesity rates and national parks, encouraging exploration and learning. While currently open source and free to use with an OpenAI account, Vizzy plans to introduce paid features such as private projects and user management. Its interface guides users through data upload, exploration, and visualization creation, making complex data accessible and understandable. Vizzy is ideal for educators, researchers, journalists, and data enthusiasts who want rapid, AI-assisted visual analysis without coding.

DATAKU is a data science site that tracks AI benchmarks, API pricing, and model releases, then packages the numbers into free calculators and downloadable datasets. The homepage archives articles on inference costs, funding rounds, and head-to-head model comparisons, while the Tools section hosts eight utilities such as an LLM cost calculator, benchmark decoder, and model graveyard.

Most AI news sites summarize press releases. DATAKU cross-references provider docs, leaderboard scores, and its own pricing tables, which is why the downloadable datasets page lists 48-row pricing histories and 62-row benchmark score tables under CC BY 4.0 licenses.

Data analysts, ML engineers, and buyers use DATAKU when they need cost-per-token math, benchmark context, or CSV exports instead of marketing claims. The About page describes the project as benchmark and pricing tracking run by a former Tokyo data analyst.