💼 productive forces

Probly

An AI-driven desktop client application that combines spreadsheet functionality with Python data analysis capabilities.

#AI
#data analysis
#Privacy protection
#Python
#spreadsheet
#WebAssembly
Probly

Product Details

Probly is an innovative desktop client application that combines the convenience 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 to obtain intelligent recommendations and automated analysis. This product is mainly aimed at users who need to perform complex data analysis but want to maintain operational convenience, such as data analysts, researchers and enterprise users. Probly ensures data privacy and high performance through a locally running architecture design, while providing rich functions and flexible scalability.

Main Features

1
Interactive Spreadsheet: Full functionality with support for formulas and data manipulation.
2
Python analysis: Run Python code directly in the browser without additional configuration.
3
Data visualization: Create charts and visualizations to visually display data.
4
AI-driven: Provides intelligent suggestions and automated analysis functions.
5
Library of predefined prompts: Quickly access and save custom prompts to increase productivity.
6
Docker support: Quickly deploy and run applications through Docker.
7
Local operation: All data analysis is completed in the local browser to protect data privacy.
8
Supports multiple data imports: Compatible with multiple formats, allowing users to quickly start analysis.

How to Use

1
1. Clone Probly’s GitHub repository locally.
2
2. Create an .env file containing the OpenAI API key.
3
3. Build and start the application using Docker: run 'docker compose build' and 'docker compose up -d'.
4
4. Open the browser and visit 'http://localhost:3000' to start using Probly.
5
5. Import data and use interactive spreadsheets for data manipulation.
6
6. Open the AI ​​chat window and use shortcut keys (Windows/Linux: Ctrl+Shift+?, Mac: ⌘+Shift+?).
7
7. Use predefined prompts or save custom prompts for quick data analysis.
8
8. Use the Python analysis function to run the code directly in the browser to generate visual results.

Target Users

Probly is suitable for users who need to perform complex data analysis but want to maintain operational convenience, such as data analysts, researchers, and enterprise users. It provides users with an efficient data analysis environment that runs locally, while combining AI technology to provide intelligent suggestions and automated analysis to help users quickly gain insights and make decisions.

Examples

Data analysts use Probly to quickly analyze sales data and generate visual reports.

Researchers use Probly to process experimental data and obtain analysis suggestions through AI.

Enterprise users can quickly reuse common analysis templates through Probly's prompt library to improve work efficiency.

Quick Access

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Categories

💼 productive forces
› data analysis
› Productivity tools

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