PandasAI

PandasAI is a comprehensive platform dedicated to democratizing AI development by providing powerful and simple tools for builders. Trusted by over 20,000 developers worldwide, PandasAI aims to make artificial intelligence accessible to everyone, not just large corporations. The platform offers two main products: the open-source PandasAI library for data analysis and the advanced PandaAGI for building generalist AI agents.

How to use PandasAI

Getting started with PandasAI is designed to be quick and straightforward, allowing developers to build powerful AI applications in minutes.

For Conversational Data Analysis (PandasAI Library):

1. Installation: Install the library using pip: pip install pandasai
2. Import and Initialize: Import the library and an LLM of your choice (e.g., OpenAI). Connect it to your data source.
3. Query in Natural Language: Use the .chat() method to ask questions about your data in plain English.

import pandasai as pai
from pandasai.llm import OpenAI

# Initialize the LLM
llm = OpenAI(api_token="YOUR_API_KEY")

# Load your data (e.g., from a CSV)
df = pai.read_csv("sales_data.csv", llm=llm)

# Ask a question
response = df.chat("What is the average revenue?")
print(response)

For Building General AI Agents (PandaAGI):

1. Installation: Install the SDK: pip install panda-agi
2. Create an Agent: Instantiate an agent with just one line of code, choosing a model like 'annie-pro' for complex tasks or 'annie-lite' for speed.
3. Run the Agent: Use the .run() method to assign a complex task to the agent.

from panda_agi import Agent

# Create an agent
agent = Agent(model="annie-pro")

# Run a task
response = agent.run("Draft an FDA approval strategy for our new medical device.")
print(response.output)

Core Features of PandasAI

• Conversational Data Analysis: The open-source library allows you to query DataFrames (from CSVs, SQL, Snowflake, etc.) using natural language, eliminating the need for complex code.
• Privacy First: The PandasAI library can run locally or in your private cloud, ensuring your sensitive data never leaves your infrastructure.
• PandaAGI SDK: A complete SDK for building sophisticated, generalist AI agents that can perform filesystem access, data analysis, and web searches.
• Annie Model Family: Choose between 'annie-pro' for advanced reasoning and 'annie-lite' for high-speed execution. Both models feature agentic capabilities and knowledge integration.
• Easy Integration: Seamlessly works with your existing tech stack, supporting various data sources (SQL, NoSQL, CSV, Excel) and offering REST APIs and SDKs for Python and JavaScript.
• Custom Models: Offers the ability to create custom Annie models fine-tuned for specific industries, use cases, or data requirements.
• Detailed Reporting: Automatically generate detailed reports, charts, and visualizations to interpret business data and align teams.

Use Cases for PandasAI

PandasAI's tools are versatile and can be applied across various domains:

• Data Science & Analytics: Rapidly query large datasets, generate insights, and create visualizations without writing extensive code.
• Business Intelligence: Empower non-technical team members to perform data analysis and get answers from company data in real-time.
• Task Automation: Build agents with PandaAGI to automate complex workflows, such as generating reports, analyzing market trends from the web, or managing files.
• Intelligent Customer Support: Create AI agents that can handle customer inquiries, process returns by checking company policies, and escalate complex issues to human agents.
• Specialized Industries: Develop agents for finance, pharmaceuticals, legal, and manufacturing to handle domain-specific tasks like compliance checks, research analysis, or strategy drafting.

Advantages of PandasAI

PandasAI stands out by offering a developer-first experience combined with powerful AI capabilities.

• Simplicity and Speed: Get started in minutes with intuitive APIs and a lightning-fast setup.
• Open Source Power: Leverage a strong open-source library with a vibrant community of over 100 contributors and millions of downloads.
• Enterprise-Grade Scalability: PandaAGI is built for production with 99.9% uptime, global CDN, and robust security and compliance features.
• Flexibility: From a free open-source library for individual projects to a scalable, enterprise-ready agentic API, PandasAI caters to all needs.
• Democratized AI: The core mission is to make powerful AI tools accessible to all developers, fostering innovation and collaboration.

Pricing and Plans

PandasAI offers flexible pricing for its different products.

PandasAI (Open-Source Library):

• Open Source: Free for individual developers and small projects. Includes full library access, local execution, community support, and basic data connectors.
• Enterprise: Custom pricing for organizations. Includes everything in Open Source plus cloud deployment, advanced connectors, custom model training, enhanced security, and dedicated support.

PandaAGI (Agentic API):

• Starter: €19/month for 2,000 credits/month, access to Annie Lite & Pro models, and email support.
• Professional: €99/month for 12,000 credits/month, priority support, advanced analytics, and custom integrations.
• Enterprise: Custom pricing for unlimited API calls, custom Annie models, 24/7 dedicated support, and on-premise deployment options.