This is AI app that help to chat with your CSV & Excel.
A Leaderboard that demonstrates LMM reasoning capabilities
Finance chatbot using vectara-agentic
Browse and submit evaluation results for AI benchmarks
Leaderboard for text-to-video generation models
Display document size plots
Generate synthetic dataset files (JSON Lines)
Calculate and explore ecological data with ECOLOGITS
Generate plots for GP and PFN posterior approximations
Explore tradeoffs between privacy and fairness in machine learning models
Profile a dataset and publish the report on Hugging Face
Display CLIP benchmark results for inference performance
statistics analysis for linear regression
Chat With Excel is an AI-powered application designed to interact with and analyze data stored in CSV and Excel files. It allows users to ask questions, perform analysis, and generate insights from their data in a conversational manner. This tool simplifies data exploration by enabling users to communicate with their data as if they were having a conversation, making it more intuitive and accessible.
• Natural Language Queries: Ask questions about your data in plain English.
• Data Analysis: Perform calculations, aggregations, and advanced analysis.
• Data Visualization: Generate charts and graphs to represent data insights.
• CSV & Excel Support: Works seamlessly with both CSV and Excel file formats.
• Real-Time Insights: Get instant responses to your queries.
• User-Friendly Interface: Designed for ease of use, even for non-technical users.
• Cross-Platform Compatibility: Accessible on multiple devices and platforms.
What file formats does Chat With Excel support?
Chat With Excel supports both Excel (.xlsx) and CSV (.csv) file formats for seamless data analysis.
Can I edit my data directly in Chat With Excel?
No, Chat With Excel is primarily designed for analysis and visualization. To edit data, you need to update your Excel or CSV file directly and reload it into the application.
Is Chat With Excel suitable for large datasets?
Yes, Chat With Excel is optimized to handle large datasets efficiently. However, performance may vary depending on file size and system capabilities.