—Converse with your data using AI-powered pandas.

Open

June 10, 2024

PandasAI

Data analysis

1,922

No ratings

Use tool Copy 🔗

Inputs:

Outputs:

Converse with your data using AI-powered pandas.

Overview

Overview Releases Pricing Reviews Prompts Pros & Cons Q&A Alternatives Recommendations

Data analysis98 0

Data Analysis Dataframes AI-enhanced Analytics Data-Driven Decision Making Data-driven Strategies Data VisualizationFree + from $52.43/mo

Most popular alternative: DataSquirrel (988 saves)

View 7 alternatives Recommendations

By unverified author Claim this AI

PandasAI is an open-source Python library designed to incorporate generative artificial intelligence into the pandas data analysis library, ultimately making dataframes interactive and conversational.

It enables users to query their enterprise data using natural language, delivering real-time data insights. PandasAI can interface with a wide range of data sources including SQL, NoSQL, CSV and xls files.

The tool provides enhanced analytics, collating data from various sources into one central place. In addition to offering raw data analysis, it also translates raw data into actionable insights, making it easier to implement data-driven strategies.

Users can generate detailed and informative reports that help keep all teams informed and aligned. PandasAI also features robust visualization capabilities, allowing the creation of intuitive charts to simplify complex business data interpretation.

This tool is designed to democratize data analysis, thereby enhancing data-informed decision-making processes. Aiming to provide a stable, reliable, and scalable solution for internal data analysis, PandasAI also offers enterprise solutions.

Releases

Get notified when a new version of PandasAI is released

Notify me

Initial release

October 23, 2023

Initial release of PandasAI.

+ Submit new release

Pricing

Pricing model

Freemium

Paid options from

$52.43/month

Billing frequency

Monthly

Use tool

Save

🔗 Copy link

🗳️ Vote Best AI Tool

Featured

Data analysis PandasAI

Data analysis

1,922

No ratings

Overview Releases Pricing Reviews Prompts Pros & Cons Q&A Alternatives Recommendations

Use tool

Save

Related tasks

AI presence analysis1 0

Reviews

No ratings yet.

★ ★ ★ ★ ★ 0

★ ★ ★ ★ 0

★ ★ ★ 0

★ ★ 0

★ 0

How would you rate PandasAI?

Help other people by letting them know if this AI was useful.

Your rating

★ ★ ★ ★ ★

Post

Prompts & Results

Title:

Description:

Prompt type*:

Prompt*:

Output type*:

Output*:

Add your own prompts and outputs to help others understand how to use this AI.

PandasAI was manually vetted by our editorial team and was first featured on June 10th 2024.

Promote AI Claim AI New release

Publiq Studio

Multi-Platform Catalog Management. Simplified.

E-commerce Catalogs

Open

30,070
23
4.3

Released 19d ago
Free + from $19.99/mo
Share

29,338 publiq.studio
CodeRabbit

Enhanced code review for improved workflow and quality.

Code reviews

Open

825,263
635
3.9

v1.6 released 13d ago
Free + from $12/mo
Share

720,102 coderabbit.ai

Sahil Mohan Bansal

🙏 233 karma

Nov 13, 2024

Reducing manual efforts in first-pass during code-review process helps speed up the "final check" before merging PRs

15720 Reply Share Edit Delete Report

Pros and Cons

Pros

Open-source Python library

Makes dataframes conversational

Natural language data querying

Interfaces with multiple data sources

SQL, NoSQL, CSV, xls support

Delivers real-time insights

Centralizes data from various sources

Translates raw data into insights

Facilitates data-driven strategies

Detailed reporting capability

Visualization capabilities

Democratizes data analysis

Data-informed decision-making enhancement

Offers enterprise solutions

Designed for scalability

Stable and reliable tool

Enhanced analytics

Connects your data infrastructure

Enhanced productivity in analysis

Interactive charts creation

Generates actionable insights

View 16 more pros

Cons

Limited to Python

Complex for non-technical users

Dependant on specific libraries

Generates noncustomizable visualizations

Lack of real-time assistance

Potential scalability issues

Does not support all databases

Dependent on pandas library

View 3 more cons

7 alternatives to PandasAI for Data analysis

Grapha AI

Uncover hidden trends and patterns in your data effortlessly.

44,309
228
3.3

Released 1y ago
From $150
Share
8,521 grapha.ai

Harishma Reghu

🙏 7 karma

Jan 13, 2024

Super useful tool that’s reduced my job by 80%

52 Reply Share Edit Delete Report
DataSquirrel

Data cleaning & visualization for insights gained.

38,373
988
4.4

Released 2y ago
Free + from $15/mo
Share

Aakriti Mahajan

🙏 5 karma

Aug 1, 2023

It is the ease of use for me. DataSquirrel is fast, the UI is super intuitive, and the guided analysis feature is highly convenient. I have officially moved from uploading CSV files from Google sheet to DataSquirrel. Within minutes, I can visualize my data and interpreting it becomes super simple.

5 Reply Share Edit Delete Report
Breadcrumb

Automate data work and reporting with AI Agents. No data|coding skills required.

29,364
219
4.4

v1.8.3 released 10mo ago
Free + from $30/mo
Share
476 www.breadcrumb.ai

Thu Ha Vu

🙏 18 karma

Nov 13, 2024

Signed up for a pro account for Google Drive integration. Works great! Saves me a lot of manual excel work.

113 Reply Share Edit Delete Report
Storytell.ai

Turn your data chaos into meaningful insights

20,073
254
4.3

v2.0 released 7mo ago
No pricing
Share

asusi zuppa

🙏 37 karma

Nov 6, 2024

Immo currently best solution if you want to convert / enchant your how-to tutorials to more professional!

3520 Reply Share Edit Delete Report
ChartPixel

AI-assisted graphs and insights in 30 seconds!

19,937
86
4.0

Released 2y ago
No pricing
Share
6,667 chartpixel.com

Prakhar Pratap Mall

🙏 14 karma

Feb 23, 2025

I really value the sentiment analysis tool—it simplifies understanding customer feedback by picking up on their emotions. Plus, the way it groups comments into topics is super helpful for decision-making.

61 Reply Share Edit Delete Report
Vizly

Analyze your Excel spreadsheet or CSV in seconds!

19,278
299
3.3

Released 2y ago
Free + from $19.99/mo
Share

Amir Abushanab

🙏 11 karma

Mar 26, 2024

I can't help but rave about this product because of the level of craftsmanship in it; Vizly is made for data scientists, by data scientists, and it shows. Having tried various tools in the space, I can confidently say it's the best by a mile, the UX is silky smooth and will feel familiar to any data scientist, and yet it manages to supercharge your workflows - I gurantee you'll be a few times more productive, can't recommend it enough.

54 Reply Share Edit Delete Report
Luminal

Clean, transform and analyze spreadsheets 10x faster with a powerful AI copilot

15,488
193
3.4

Released 2y ago
Free + from $5
Share

neu gls

🛠️ 1 tool 🙏 28 karma

Mar 20, 2025

Have you tried excelmatic.ai, it seems good

2 Reply Share Edit Delete Report

View 164 more alternatives

Q&A

What is PandasAI?

PandasAI is an open-source Python library that incorporates generative artificial intelligence into the pandas data analysis library. It is designed to make dataframes interactive and conversational enabling querying enterprise data using natural language, translating raw data into actionable insights, collating data from various sources, and democratizing data analysis.

How does PandasAI utilize artificial intelligence?

PandasAI leverages artificial intelligence by transforming dataframes into interactive and conversational interfaces. It incorporates generative AI to enable users to query their enterprise data using natural language and delivers real-time insights by turning raw data into actionable information.

What data sources can PandasAI integrate with?

PandasAI can interface with a wide range of data sources, including SQL, NoSQL databases, and file formats like CSV and xls.

Can I use PandasAI for real-time data insights?

Yes, you can use PandasAI for real-time data insights. It enables users to query their enterprise data using natural language and translate raw data into actionable insight in real time.

What is the purpose of making dataframes conversational in PandasAI?

Making dataframes conversational means that users can query the dataframes in their natural language. This capability makes analysis and information extraction from dataframes easier and more intuitive even for non-technical users.

What does it mean that PandasAI is an open-source tool?

Being an open-source tool means that PandasAI's source code is freely available for modification or enhancement. Developers can contribute to or alter the behavior according to their needs and it encourages collaborative development.

+ Show 14 more

Can PandasAI help me with data-driven strategies?

Yes, PandasAI can help with data-driven strategies. It translates raw data into actionable insights, a foundational part of implementing successful data-driven strategies.

What kind of reports can I generate using PandasAI?

PandasAI allows users to generate detailed and informative reports. These reports can keep all teams informed and aligned on data-driven strategies.

How does PandasAI assist with business data interpretation?

PandasAI assists with business data interpretation by providing enhanced analytics capabilities, translating raw data into actionable insights, and featuring robust visualization capabilities that simplify complex business data interpretation.

What are the visualization capabilities in PandasAI?

PandasAI has robust visualization capabilities, allowing the creation of intuitive charts that simplify complex business data interpretation, which helps in understanding trends, patterns, and correlations within the data.

Can PandasAI help me with enterprise data analysis?

Yes, you can use PandasAI for enterprise data analysis. It provides a stable, reliable, and scalable solution for internal data analysis and also offers enterprise solutions.

How can PandasAI democratize data analysis?

PandasAI democratizes data analysis by integrating AI capabilities into a popular data analysis library, thereby augmenting human decision-making abilities. Since it is open source, it empowers more users, regardless of their financial capability, to leverage advanced data analytics, thereby leveling the playing field.

Is PandasAI reliable and scalable?

Yes, PandasAI is designed to be a reliable, stable, and scalable solution for internal data analysis. It is made to provide a stable platform for data querying, analysis, and visualization while being easily scalable.

What types of languages are used for querying in PandasAI?

PandasAI uses natural language for querying, making dataframes conversational and more interactive.

How does PandasAI enhance traditional data analytics?

PandasAI enhances traditional data analytics by incorporating conversational AI, natural language processing that simplifies data querying, and by providing real-time actionable insights, robust visualization capabilities, and the ability to integrate multiple data sources.

What does 'Actionable Insights' mean in context of PandasAI?

'Actionable Insights' in the context of PandasAI, refer to the transformation of raw data into useful and meaningful information that can inform decision making and strategies.

Can I use PandasAI with SQL or NoSQL databases?

Yes, you can use PandasAI with SQL or NoSQL databases as it can interface with a wide range of data sources.

In what ways can PandasAI simplify complex data?

PandasAI can simplify complex data through its enhanced analytics and robust visualization capabilities. It transforms complex raw data into understandable actionable insights and presents information through intuitive charts.

Does PandasAI process CSV and XLS files?

Yes, PandasAI can process CSV and XLS files. It supports these file formats amongst others as part of its data integration capabilities.

How can I apply 'Natural Language Processing' in PandasAI?

You can apply 'Natural Language Processing' in PandasAI while querying data. It allows for interaction with dataframes in your natural language, simplifying the data analysis process.

Ask a question

Submit