Jupyter AI
Jupyter AI is an AI-powered extension that utilizes generative AI models to serve as your coding assistant in data analysis (AI tools to analyze data). Currently, it is packed up with Python language-based analysis where users can provide prompts.
Requirements:
You need to have Python (Version 3.8-3.11) installed on your computer, JupyterLab 4 and access to atleast one model provider with necessary credentials like API keys (for OpenAI models).
Features:
- Conversational Assistant: Jupyter AI utilizes generative AI to create a conversational assistant.
- Integration with Jupyter Environments: It supports most popular Integrated Development Environments (IDEs).
- Versatility in Model Providers: JupyterAI supports various generative model providers.
Pros:
- It integrates with various IDEs, providing flexibility and is free to use.
- It is compatible with many generative models.
Cons:
- Users need to have prior experience with Python.
- Performance depends on the generative model available.
Pricing: It is an open-source tool.
Link: Jupyter AI
Top 10 AI Tools for Data Analysis
Data analysis is used by a billion people worldwide. Amid the AI revolution, businesses recognize the transformative potential of AI tools for data analysis. Data analysis, like spreadsheets, is fundamental in business operations, as they work together to improve efficiency. Even though used by a billion people worldwide, data analysis is often halted by a list of manual and time-consuming processes. In such cases, we can use AI tools to analyze data.
AI tools for data analysis can utilize machine learning and deep learning to find insights in the data and reveal patterns. These tools can address the complexities of data analysis more efficiently, eliminating the inevitable human errors. This article will explore the best AI tools for data analysis.