What is GPT Lab?
Streamlit is a powerful open-source app framework specifically designed for creating and sharing data science and machine learning apps. With Streamlit, developers can turn data scripts into interactive web apps in just minutes. This easy-to-use tool allows seamless UI integration, supports various data sources, and is scalable to handle large projects. Its ability to host apps directly online makes data science projects accessible and shareable.
GPT Lab's Top Features
Key capabilities that make GPT Lab stand out.
Open-source
Easy-to-use
Supports various data sources
Scalable
Interactive web apps
Direct online hosting
Python compatible
Supports dashboards
Extensive documentation
Active community
Key Details
- Category
- Collaboration
- Pricing Model
- Free
- Website
- Visit GPT Lab
- Last Updated
- August 8, 2024
Tags
Category
About the Maker
The organization behind GPT Lab.
Creating safe AGI that benefits all of humanity
AI Models by OpenAI
Large language models from the same organization.
| Model | Context Window | Price (In / Out per M) |
|---|---|---|
| GPT-5.4Current | 1.1M | $2.50 / $15.00 |
| GPT-5.3 CodexCurrent | 400K | $1.75 / $14.00 |
| o3Current | 200K | $10.00 / $40.00 |
| GPT-4o miniCurrent | 128K | $0.15 / $0.60 |
| GPT-4oCurrent | 128K | $2.50 / $10.00 |
| GPT-5 | 400K | $1.25 / $10.00 |
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Use Cases
Who benefits most from this tool.
Data Scientists
Turn complex data models and analytics into interactive web apps for easier interpretation.
Machine Learning Engineers
Deploy machine learning models into sharable web applications for demonstrations and testing.
Business Analysts
Create interactive dashboards to visualize business metrics and performance indicators.
Researchers
Share research findings in an interactive and visually appealing format.
Educators
Develop teaching tools and interactive learning modules for students.
Healthcare Professionals
Display patient data and predictive models in an interactive format for better decision-making.
Financial Analysts
Visualize market trends and financial data for better investment analysis.
Marketing Professionals
Create real-time data dashboards to track marketing campaign performance.
Developers
Deploy proof-of-concept apps and prototypes quickly and efficiently.
Government Agencies
Share public data and statistics in an accessible and interactive manner.