PandasAI is a Python library that enhances the functionality of Pandas by integrating generative AI capabilities. It allows users to query, filter, and manipulate dataframes using natural language. This diminishes the learning curve for non-technical users, making data analysis more intuitive and user-friendly. By leveraging large language models (LLMs) like GPT-3.5/4, PandasAI transforms complex data operations into simple conversational interactions.

Who will use PandasAI?

Data Analysts
Data Scientists
Business Analysts
Non-Technical Users

How to use the PandasAI ?

Step1: Install PandasAI via pip.
Step2: Import PandasAI and connect it with your Pandas dataframe.
Step3: Run natural language queries on your data.
Step4: Review and visualize results.

Platform

web
mac
windows
linux

PandasAI's Core Features & Benefits

The Core Features of PandasAI

Natural Language Queries
Pandas Integration
Data Manipulation
Data Visualization

The Benefits of PandasAI

Simplified Data Analysis
Improved Accessibility
Enhanced Productivity
User-Friendly Interface

PandasAI's Main Use Cases & Applications

Data Exploration
Business Intelligence
Report Generation
Ad-hoc Queries

FAQs of PandasAI's

What is PandasAI?

PandasAI is a Python library that integrates AI capabilities with Pandas for conversational data analysis.

How do I install PandasAI?

You can install PandasAI using pip with the command `pip install pandasai`.

Is PandasAI free?

Yes, PandasAI is an open-source library.

Can I use PandasAI with other data sources?

Yes, PandasAI supports SQL, CSV, Pandas, Polars, and various noSQL databases.

Does PandasAI support visualization?

Yes, PandasAI includes functionalities for data visualization.

Who can use PandasAI?

Both technical and non-technical users, including data analysts, data scientists, and business analysts.

What language models does PandasAI use?

PandasAI leverages large language models like GPT-3.5/4.

Is there any documentation available?

Yes, documentation is available on the official PandasAI GitHub page.

Can PandasAI manipulate dataframes?

Yes, PandasAI supports various data manipulation tasks.

What platforms does PandasAI support?

PandasAI supports Web, Linux, Mac, and Windows platforms.

PandasAI Company Information

Website: https://github.com/gventuri/pandas-ai
Company Name: PandasAI
Support Email: NA
Facebook: NA
X(Twitter): NA
YouTube: NA
Instagram: NA
Tiktok: NA
LinkedIn: NA

Analytic of PandasAI

Visit Over Time

Monthly Visits

472591.8k

Avg.Visit Duration

00:06:46

Page per Visit

5.82

Bounce Rate

37.47%

Apr 2024 - Jun 2024 All Traffic

Geography

Top 5 Regions

United States

18.24%

China

13.64%

India

9.42%

Russia

3.89%

Germany

3.65%

Apr 2024 - Jun 2024 Worldwide Desktop Only

Traffic Sources

Direct

0.52%

0.32%

Referrals

0.13%

Social

0.02%

Paid Referrals

Mail

Apr 2024 - Jun 2024 Desktop Only

Top Keywords

Keyword	Traffic	Cost Per Click
github	3786.9k	$ 0.52
github copilot	439.4k	$ 1.03
c	22960.1k	$ 0.55
github desktop	216.8k	$ 1.51
git hub	165.5k	$ 0.62

PandasAI's Main Competitors and alternatives?

Datarobot
Dataiku
H2O.ai
RapidMiner