1. Workflow Integration: Active Admin is a Ruby on Rails framework used for creating administration style interfaces whereas Pandasql is a Python package used for querying and manipulating dataframes. Active Admin primarily focuses on building web applications with user interfaces for admins, while Pandasql is focused on data manipulation within Python.
2. Language Compatibility: Active Admin is specifically designed for Ruby on Rails applications, while Pandasql is compatible with Python environments. Therefore, the choice between the two will largely depend on the language used in the project.
3. Query Capabilities: Active Admin provides tools for creating dynamic queries and filtering data within a web interface, while Pandasql offers SQL-like querying capabilities directly on dataframes in Python. The choice between the two would depend on the preferred method of querying and manipulating data.
4. User Interface vs. Scripting: Active Admin focuses on providing a user-friendly interface for administrators to interact with the data, while Pandasql is oriented towards scripting and data manipulation within Python scripts. This difference is significant for determining the preferred tool based on the project requirements.
5. Development Environment: Active Admin requires a Ruby on Rails development environment to be set up, while Pandasql can be utilized within Python environments without additional dependencies. Understanding the development environment required by each tool is crucial for selecting the appropriate one for a project.
6. Community and Support: Active Admin benefits from the Ruby on Rails community and ecosystem, providing access to a larger pool of resources and support compared to Pandasql, which has its support within the Python community. Considering the community and support available for each tool is essential for addressing potential issues and seeking help during development.

In Summary, the key differences between Active Admin and Pandasql lie in their workflow integration, language compatibility, query capabilities, user interface versus scripting orientation, development environment requirements, and community and support resources.