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Probly
Overview :
Probly is an innovative desktop client application that combines the ease of spreadsheets with the powerful data analysis capabilities of Python. By running Python code in the browser (using WebAssembly technology), users can perform efficient data analysis locally while leveraging AI technology for intelligent suggestions and automated analysis. This product is primarily aimed at users who need to perform complex data analysis but want to maintain operational ease, such as data analysts, researchers, and enterprise users. Probly's locally-run architecture ensures data privacy and high performance, while providing rich functionality and flexible scalability.
Target Users :
Probly is ideal for users who need to perform complex data analysis but want to maintain operational ease, such as data analysts, researchers, and enterprise users. It provides users with a locally-run, efficient data analysis environment, while incorporating AI technology to provide intelligent suggestions and automated analysis, helping users quickly gain insights and make decisions.
Use Cases
Data analysts use Probly to quickly analyze sales data and generate visualization reports.
Researchers use Probly for experimental data processing and receive analysis suggestions from AI.
Enterprise users use Probly's prompt library to quickly reuse common analysis templates, improving work efficiency.
Features
Interactive Spreadsheet: Full functionality supporting formulas and data manipulation.
Python Analysis: Run Python code directly in the browser without additional configuration.
Data Visualization: Create charts and visualizations for intuitive data representation.
AI-Driven: Provides intelligent suggestions and automated analysis features.
Predefined Prompt Library: Quickly access and save custom prompts to improve work efficiency.
Docker Support: Quickly deploy and run the application using Docker.
Local Operation: All data analysis is completed in the local browser, protecting data privacy.
Supports Multiple Data Imports: Compatible with multiple formats, allowing users to quickly begin analysis.
How to Use
1. Clone the Probly GitHub repository to your local machine.
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2. Create a .env file containing your OpenAI API key.
3. Build and start the application using Docker: run 'docker compose build' and 'docker compose up -d'.
4. Open your browser and visit 'http://localhost:3000' to start using Probly.
5. Import data and use the interactive spreadsheet for data manipulation.
6. Open the AI chat window using the shortcut key (Windows/Linux: Ctrl+Shift+?, Mac: ?+Shift+?).
7. Use predefined prompts or save custom prompts for quick data analysis.
8. Utilize the Python analysis function to run code directly in the browser and generate visualized results.
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