Pandasai github. py # Dataset management endpoints │ ├── query_routes. 12 Visual C++ (latest) 🐛 Describe the bug If I try to install pandasai using pip (24. Follow their code on GitHub. - sinaptik-ai/pandas-ai PandasAI is a Python library that adds Generative AI capabilities to pandas, the popular data analysis and manipulation tool. Powered by PandasAI, it's designed for quick, code-free exploration of structured data. Initialise & Configure the Google from pandasai import Agent from pandasai_docker import DockerSandbox # Initialize and start the sandbox sandbox = DockerSandbox() sandbox. Seamlessly integrates Generative AI into pandas for enhanced data manipulation. The Pandasai app (hereinafter referred to as "the App") is provided for informational purposes only. Contribute to shaneholloman/pandasai-tutorials development by creating an account on GitHub. PandasAI 3. Tune in, whether you're new to Python or an experienced data scientist, to gain Chat with your database or your datalake (SQL, CSV, parquet). Whether you’re working with complex datasets or just starting your data journey, PandasAI provides the tools to This video is an initial exploration of PandasAI - giving you a taste of what it can do, and how it can enhance your data analysis workflow with Python and Pandas. - sinaptik-ai/pandas-ai But as PandasAI is "relying" on LMs like RAG does, it would be an even better solution to have a "sort of" Interface to data structures (like RAG uses documents) powered by PandasAI. Large Language Models. This beginner-friendly guide equips you with the tools and This project demonstrates how to create data visualizations using PandasAI within a Google Colab environment. PandasAI has 3 repositories available. Connectors. Chat with your database or your datalake (SQL, CSV, parquet). Do Analysis and chat with your technical data by using PandasAI GitHub Open-Source Python Library, with the help of LLMs, here is how you can do this with your end. PandasAI is a wrapper around a LLM to make dataframes conversational from pandasai. Labels. The prompt is "make a scatter plot of sepallength vs sepalwidth color by class". PandasAI is an amazing Python library that allows you to talk to your data. Here are some sample visualizations created by this project: This line chart A Data Analysis Agent using PandasAI. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects. It helps you Latest releases for sinaptik-ai/pandas-ai on GitHub. I would like to know how PandasAI is a Python platform that makes it easy to ask questions to your data in natural language. Copy link. env. 0 is currently in beta. yaml: A Configuration file for gcloud. Interactive Visualizations: Generate charts, graphs, and summaries dynamically from your dataset. . ) in natural language. It helps non-technical users to interact with their data in a more natural way, and it helps technical users to save time, and effort when working with data. smart_datalake import SmartDatalake 🚀 The feature Dear devs, great project. gui-pandas-ai provides an easy web gui interface to access ChatGPT directly along with provision for several key data analysis utilities. PandaAGI provides a powerful agentic AI API that lets you create intelligent agents with just 3 lines of code. Steps to create a simple Chatbot based on PandasAI, OPenAI and Streamlit - creating_simple_chatbot_using_pandasai_openai_streamlit. Introduction to PandasAI. Contribute to Rimsha10/Data-Analysis-Agent---PandasAI development by creating an account on GitHub. Tutorials for PandasAI . You can use it in Jupyter notebooks, Streamlit apps, or with a Docker sandbox, and choose The PandasAI library provides a Python interface for interacting with your data in natural language. llms import Ollama Users can provide their PandasAI API Key, upload a dataset in CSV or Excel format, and interact with the data using natural language queries. example at main · sinaptik-ai/pandas-ai A project of LLM- Data Visualization using PandasAi and Groq to analyse the data from the dataset and preparing charts or answering for the given Query. python data-science machine-learning natural-language-processing openai data-analysis csv-processing Empower yourself to delve into data, generate insights, and answer questions with ease through this self-service analytics application powered by PandasAI and OpenAI. PandasAI makes data analysis conversational using LLMs and RAG. Navigation Menu Toggle navigation. 0) on my Windows 11 Home laptop with Python 3. 0a19, last published: July 13, 2025 PandasAI. PandasAI是一款结合ChatGPT技术的数据分析工具，支持对话式操作Pandas库，让数据分析更智能。通过PandasAI，你可以轻松查询数据、生成图表，并享受强大的生成式人工智能功能。安装简单，使用便捷，是数据分析师的得力助手。 PandasAI is a Python platform that makes it easy to ask questions to your data in natural language. You can find the full documentation for I'm currently working with PandasAI and I'm interested in utilizing agents for my projects. chat( "First sort the countries by population and then \ calculate the total population of use ollama, should work (as I know under Linux and Mac actually) example (after installed ollama on local machine): from langchain_community. PandasAI is a Python library and a platform that lets you chat with your data in natural language. openai pandasai chainlit Updated Jun Tutorials for PandasAI . . Latest version: v3. smart_dataframe import SmartDataframe from pandasai. - pandas-ai/pyproject. The creators and authors of the App make no representations or warranties of any kind, express or implied, about the completeness, accuracy, reliability, suitability, or availability of the App or the information, products, services, or related graphics contained in the App. Welcome to my PandasAI repo. Navigation Menu Toggle navigation Contribute to Nguyenkiettuan1/pandasAi development by creating an account on GitHub. Skip to content. - pandas-ai/. You can use it to ask questions to your data, generate graphs and charts, cleanse datasets, and enhance data quality through feature PandasAI is a Python library that makes it easy to ask questions to your data (CSV, XLSX, PostgreSQL, MySQL, BigQuery, Databrick, Snowflake, etc. md at main · sinaptik-ai/pandas-ai PandasAI是一款数据分析领域的AI应用，它可以使用ChatGPT也可以使用HuggingFace Hub上的LLM—StarCoder进行代码生成，原理和使用方法在文中都有描述，大家自行饮用。 数据分析领域的ChatGPT应用，本文对原项目进行翻译旨在进行知识科普和梳理。这个项目的github Chat with your database or your datalake (SQL, CSV, parquet). Would be awesome if we could add support for LM Studio and the local server API given the rise in popularity. You can ask questions, request summaries, apply filters, and perform various data manipulations using plain English. How to deploy Streamlit apps to Google App Engine. More examples are included in the repository along with samples of data. txt GitHub; Get Started. json file in the LLM setup process. conda create -n streamlit-pandasai python=3. A template app to build & deploy PandasAI app to make your csv files conversational. It provides features such as data loading, transformation, query building, and integration with Contribute to ysbrianlee/pandasai development by creating an account on GitHub. png and now they are loaded from there. PandasAI is an open-source framework that brings together intelligent data processing and natural language analysis. For a consistent workflow you could upload special files (. Converse with your data: PandasAI Chat enables you to interact with your data in a conversational manner. Ask System Info pip (24. py pandas-ai is a library that simplifies the development of AI applications using pandas and SQL. AI-Excel 数据处理与分析 是一个开源项目，旨在帮助用户通过自然语言轻松处理和分析 Excel 数据。 该项目基于 DeepSeek 提供的免费接口(国内非官方，比如阿里云，华为等)，结合 PandasAI 库，支持对 Excel 文件（CSV 和 XLSX 格式） You signed in with another tab or window. PandasAI is a Python platform that makes it easy to ask questions to your data in natural language. Reload to refresh your session. You signed out in another tab or window. ) to your Knowledge Collections like done with PDFs. openai pandasai chainlit Updated Jun 14, 2023; Python; TirendazAcademy / PandasAI-Tutorials Star 6. Sign in Appearance settings. It helps non-technical users to interact with their data in a more natural way, and it helps technical users to save time and effort when working with data. py # Conversation/chat endpoints ├── schemas/ # GitHub is where people build software. - sinaptik-ai/pandas-ai Welcome to the PandasAI official blog! PandasAI is a Python library that integrates generative AI capabilities into pandas, making your dataframes conversational. documentation Improvements or additions to documentation Improvements or additions to documentation. - pandas-ai/README. Seamless More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects. cloudbuild. PandasAI is designed to be used in conjunction with pandas. Code Issues GitHub is where people build software. llm import AzureOpenAI df =pd. Create reports, dissect data effortlessly. PandasAI是一个基于Python的开源平台，通过自然语言处理技术简化数据分析，使用户能以日常对话方式与数据交互，支持多数据源分析和安全沙箱执行，促进团队协作，适用于多种业务场景。 ，旨在通过自然语言处理技 PandasAI is a Python library that adds Generative AI capabilities to pandas, the popular data analysis and manipulation tool. read_csv('search_data_v3. PandasAI is designed to be used in conjunction with Pandas. This repo includes tutorials on how to use Pandas AI. 9 conda activate streamlit-pandasai Install Python dependencies in the activate Python environment: pip install -r requirements. Code Hello everyone, I've been exploring the capabilities of Open Web UI and, after reviewing the official documentation, I couldn't find explicit support for creating retrieval-augmented generation (RAG) for datasets or databases using tools like PandasAI. It makes Pandas conversational, allowing you to ask questions about your data and get gui-pandas-ai is a simple, ease-to-use Python UI Wrapper built to use PandasAI as naively and intuitively as possible. Semantic Agent. environ['OPENAI_API_KEY'] = "" PandasAI Integration: Perform smart data analysis with PandasAI, leveraging its ability to understand and query datasets directly. 12, after installing the Visual C++ Chat with your database or your datalake (SQL, CSV, parquet). Pandasai will use the LLM to generate python code to for data analysis, the screen shot below is an exmple code generation for making a scatter plot by matplotlib. However, I'm facing some challenges in integrating a local LLM instead of relying on the default Bamboo LLM. xIt helps you to explore, clean, and analyze your data using generative AI. TirendazAcademy has 60 repositories available. chat('Which are the top 5 countries by population?') spark Gemini df. Whether you’re working with complex datasets or just starting your data journey, PandasAI provides the tools to define, process, and analyze your data efficiently. Library. yml at main · sinaptik-ai/pandas-ai Tutorials for PandasAI . More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects. 2. GitHub is where people build software. Requirements GitHub Advanced Security Find and fix vulnerabilities Actions Automate any workflow Codespaces Instant dev environments Additional guidance on configuring the pandasai. Product GitHub Copilot Write better Welcome aspiring analysts! This guide empowers you, a beginner, to craft your own self-service analytics application, leveraging the power of pandas-ai and OpenAI. PandasAI: Revolutionize data analysis with Pandas library and AI. Elevate your data skills with this superhero sidekick. Local API: `# Example: reuse your existing OpenAI setup import os PandasAI is an open-source framework that brings together intelligent data processing and natural language analysis. #1407. In this blog, we'll explore how PandasAI allows PandasAI is a Python library that makes it easy to ask questions to your data (CSV, XLSX, PostgreSQL, MySQL, BigQuery, Databrick, Snowflake, etc. 6 Canada 7 Australia 1 United Kingdom 3 Germany 0 United States Name: country, dtype Chat with your database or your datalake (SQL, CSV, parquet). meta csv pandas openai datalake streamlit large-language-models llm chatgpt pandasai llama2 pandas-ai Updated Jan 15, 2024; Python; chuongmep / omniclass-ai Sponsor Star 2. 0. Contribute to TirendazAcademy/PandasAI-Tutorials development by creating an account on GitHub. Contribute to aatansen/Data-Analysis-with-PandasAi-free-HuggingFace-LLMs development by creating an account on GitHub. Contribute to martinkhristi/PandasAI-Tutorials-PandasAI-with-Groq. Beyond querying, PandasAI offers functionalities to Chat with your database or your datalake (SQL, CSV, parquet). 0a19, last published: July 13, 2025. - sinaptik-ai/pandas-ai Contribute to thepycoach/pandasai-tutorial development by creating an account on GitHub. ipynb development by creating an account on GitHub. - sinaptik-ai/pandas-ai Latest releases for sinaptik-ai/pandas-ai on GitHub. 🐛 Describe the bug Code import pandas as pd import os from pandasai import SmartDataframe from pandasai. This documentation reflects the latest features and functionality, which may evolve before the final release. app/ ├── routes/ # FastAPI route handlers separated by domain │ ├── dataset_routes. PandasAI is a Python library that makes it easy to ask questions to your data (CSV, XLSX, PostgreSQL, MySQL, BigQuery, Databrick, Snowflake, etc. Introducing ChatCSV Streamlit, a powerful app enhanced by LLM (Language and Learning Model) technology, enabling you to engage in interactive conversations with your CSV files. Pandas AI is a Python library that makes it easy to ask questions to your data (CSV, XLSX, PostgreSQL, MySQL, Big Query, Databrick, Snowflake, etc. Upload CSV or Excel files for data analysis. Let me briefly explain this tool. 项目介绍及使用教程请前往 Chat with your database or your datalake (SQL, CSV, parquet). openai pandasai chainlit Updated Jun We would like to show you a description here but the site won’t allow us. You switched accounts on another tab or window. PandasAI interactive prompt function Remote Code Execution (RCE) Skip to content. User-friendly, it transforms dataframes into conversational partners. - GitHub - alagesh07/LLM-DataVisualization-PandasAI-and-Groq: A project of LLM- Data Visualization using PandasAi and Groq to analyse the data from the dataset and preparing charts or answering for the given Query. csv", sandbox We would like to show you a description here but the site won’t allow us. json file in your project’s root. - sinaptik-ai/pandas-ai Interactive data upload and analysis AI-powered question answering about your data Automatic chart generation and visualization User-friendly interface for complex data operations Upload your CSV file through the interface. It showcases the power of combining pandas for data manipulation with AI-assisted visualization techniques. toml at main · sinaptik-ai/pandas-ai Chat with your database or your datalake (SQL, CSV, parquet). gcloudignore: Configure the file to ignore file / folders to be uploaded; we are going to use Dockerfile to deploy the app using Google Cloud Run. We read every piece of feedback, and take your input very seriously. Contribute to mdwoicke/Agent-Ollama-PandasAI development by creating an account on GitHub. - pandas-ai/docker-compose. PandasAI uses an interactive prompt function that is vulnerable to prompt injection and run arbitrary Python code that can lead to Remote Code Execution The Pandasai app (hereinafter referred to as "the App") is provided for informational purposes only. We would like to show you a description here but the site won’t allow us. Input your PANDASAI_API_KEY securely. py # Query processing endpoints │ └── conversation_routes. PandasAi with free LLMs for data analysis. To customize PandasAI’s SmartDataframe, you can either pass a config object with specific settings upon instantiation or modify the pandasai. Simple, scalable, and developer-friendly. It is designed to be used in conjunction with pandas, and is not a replacement for it. It makes pandas AI Research Engineer | Founder, PhD. Judge Agent. Pandas AI is a Python library that adds generative artificial intelligence capabilities to Pandas, the popular data analysis and manipulation tool - HristiyanIvanovski/PandasAI Chat with your database or your datalake (SQL, CSV, parquet). 0) Windows 11 Home Python 3. Follow below guide on basic Instructions. The creators and authors of the App make no representations or warranties of any kind, express or implied, about the GitHub is where people build software. The implementation is not perfect an might cause issues when having multiple concurrent users. - farukalamai/Stream Chat with your database or your datalake (SQL, CSV, parquet). Features. Getting started with the Library. Here are some examples of how to use PandasAI. We added below tow configurations files. 8. Examples. Example of using PandasAI with multiple Updated to pandasai==1. The latter serves as the default configuration but can be overridden by directly specifying settings in the config object at creation. Multiple Analysis Methods: Choose between LLM-based responses and PandasAI for tailored data insights. Use natural language to ask questions about your data and receive insights powered by PandasAI. - acfilok96/PandasAI from pandasai import SmartDataframe df = SmartDataframe(data, config={"llm": llm}) spark Gemini df. Contribute to Zfeng0207/PandasAI development by creating an account on GitHub. csv etc. It helps you to explore, clean, and analyze Tutorials for PandasAI . csv') os. Charts are stored as temp_chart. start() # Create an agent with the sandbox enabled agent = Agent("data. Advanced agents. lfirj hzfjisbj kaw ukkm uajkzhw srpkqgz olyt wvldv fuoanpw dijfmg