Deepsheet is an AI tool that allows you to ask questions in plain English about your data, and receive insights in return. This tool accepts a variety of dataset formats such as CSV, XLSX, TSV, or JSON, and provides a chat interface for users to interact and query their data.
Deepsheet can extract and analyze valuable insights from the data, regardless of its scale, complexity, or type. The tool presents the results in a readable format, making it easy for non-technical users to understand and act upon the findings.
Deepsheet is built using Python and is compatible with a REPL (Read-Eval-Print Loop), which allows users to run Python scripts in the interface. Additionally, Deepsheet provides users with a sample dataset, giving them a practical use case and an idea of the tool’s capabilities.
Deepsheet was created by Dylan Castillo and designed with user experience in mind. Deepsheet’s logo was created by Streamline and is a web-based tool to reach a wider audience.
Overall, Deepsheet is a conversational AI tool designed for data analysis that takes the complexity out of the process, and provides users with meaningful insights.