AiPy

What is AiPy?

Features of AiPy

• Intelligent Parsing and Execution: Accurately understand the user's intent through natural language processing technology, automatically generate and execute Python code, realizing a seamless transition from requirements to execution.
• Powerful data processing capabilities: Supports multiple data formats (e.g., CSV, Excel, JSON) and provides full-process processing from data cleansing, analysis to visualization, facilitating efficient data management.
• Network search function: Integrate networked search to quickly query news, current events and other information, expanding the boundaries of knowledge and meeting diversified information needs.
• Multi-model supportCompatible with a variety of large language models (e.g. DeepSeek, Tencent Hunyuan, Ali Qwen, etc.), users can choose flexibly according to their needs, enhancing the diversity and adaptability of task processing.
• Case Sharing and Management: Automatically upload private storage in the cloud after the task is completed, which is convenient for users to manage cases or share wonderful cases, and promote knowledge sharing and exchange.
• Local Deployment and Data Security: All data processing is done locally, ensuring the security of sensitive information, suitable for processing large files and confidential data, and safeguarding user privacy.
• Open source and free: The code is completely open source, users only need to bear the cost of the LLM API token, reducing the cost of use and improving the cost-effectiveness.
• Highly flexible: Unrestricted by predefined tools, it can call all kinds of APIs, including private or local APIs, to meet individual needs.
• task-oriented: Users only need to express their intentions without caring about the realization details, simplifying the operation process and enhancing the experience.

AiPy's Core Advantages

• Open source and free: The code is completely open source, users do not need to pay high software costs, and only need to bear the token cost of the LLM API, which reduces the cost of use and improves the cost-effectiveness.
• Highly flexible: Not limited by predefined tools, users can call all kinds of APIs according to their needs, including private or local APIs, to meet diversified application scenarios.
• task-oriented: Users only need to express their intentions, without having to care about specific implementation details, simplifying the operation process and lowering the threshold of use, so that even non-technical users can easily get started.
• data security: All data processing is done locally and sensitive information does not leave the user's device, ensuring data security and privacy, especially suitable for handling large files and confidential data.
• Multi-model support: Supporting a variety of large language models (e.g. DeepSeek, Tencent Hunyuan, Ali Qwen, etc.), users can choose the appropriate model according to their needs, which improves the diversity and adaptability of task processing.
• Case Sharing and Management: Automatically upload private storage in the cloud after the task is completed, which is convenient for users to manage cases or share wonderful cases, and promote knowledge sharing and exchange.
• Network search function: Integrate networked search to quickly query news, current events and other information, expanding the boundaries of knowledge and meeting diversified information needs.
• Efficient data processing: Supports a variety of data formats (e.g. CSV, Excel, JSON), provides full-process processing from data cleansing to visualization, and facilitates efficient data management.
• Easy to install and updateNew users can download the "Lazy Installer" from the official website for one-click installation, and old users can enter commands in the terminal to update, which is simple and fast.

What is AiPy's official website?

• Official website address:: https://www.aipyaipy.com/
• GitHub repository:: https://github.com/knownsec/aipyapp

People who are interested in AiPy

• Data Analyst: Can quickly process and analyze large amounts of data, generate reports, and improve work efficiency.
• (scientific) researcher: It can be used for laboratory data monitoring, analysis and report generation to assist scientific research.
• software developer: Automatically generate and execute Python code to increase development efficiency and reduce duplication of effort.
• schoolchildren: Helps with tasks such as data analysis and programming learning to enhance learning.
• principals: Used for teaching demonstrations to show data analysis and programming processes to enrich teaching and learning.
• Company employees: Enhance productivity by handling routine data and automated tasks such as financial analysis, market research, etc.