PandasAI vs Kel: Which is better?

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.

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Kel

Kel is an AI-based assistant embedded in your Command Line Interface (CLI). It is designed to augment productivity by automating repetitive tasks and enhancing the overall efficiency of your CLI. Kel is equipped with multiple Languages for Learning Machines (LLMs) support including OpenAI, Anthropic, and Ollama, whilst also supporting OpenAI Assistants. It further allows users to engage in unique interactions such as 'chatting' with their artifacts by uploading their files to the assistant. Developers can personalize their assistant using their own API keys for OpenAI or Anthropic, a feature that might soon extend to other LLMs.

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Key features

PandasAINo data

Kel

AI capabilities integrated into the CLI for automating tasks and enhancing productivity.
Supports multiple LLMs including OpenAI, Anthropic, and Ollama, with the ability to bring your own API key.
Allows users to upload files and interact with their artifacts through a chat interface.
Free and open-source, enabling community contributions on GitHub.
Configuration through a `config.toml` file for personal settings and LLM selection.

Useful for

PandasAINo data

Kel

Automates repetitive tasks, enhancing productivity and efficiency in the command line interface (CLI).
Supports multiple large language models (LLMs), allowing users to choose the best fit for their needs.
Enables users to upload files and interact with their artifacts through a chat interface, facilitating easier data analysis and insights.
Allows integration of personal API keys for customized usage, providing flexibility in accessing different LLMs.
Free and open source, encouraging community contributions and collaboration on GitHub.

Use cases

PandasAINo data

Kel

Automate repetitive tasks in the command line interface (CLI) using AI capabilities.
Interact with various large language models (LLMs) such as OpenAI, Anthropic, and Ollama for diverse functionalities.
Upload files to the assistant and engage in conversations to extract insights or analyze content.
Configure and use personal API keys for customized interactions with LLMs.
Utilize the OpenAI assistant to analyze documents and obtain insights directly from the CLI.

Price

PandasAIFree

Kel

The application is free and open source.
Users can bring their own API keys for OpenAI and Anthropic.
Other LLM support is coming soon.
There is an option to contact for a support plan.