Permission Management
Manage access control and permissions
Release v3 is currently in beta. This documentation reflects the features and functionality in progress and may change before the final release.
The data platform allows you to control access to your AI dashboards and dataframes. You can choose between different levels of access:
- Private: for your own use
- Public: available to anyone with a PandasAI account
- Password-protected: requires a password to access
- Organization: for use within your organization
Each access level determines who can view and interact with your dataframes, and who consumes query quota when asking questions to the AI agent.
Private Dataframes
Private dataframes are accessible only by their owner. When asking questions to the agent, the owner consumes their own query quota.
Public Dataframes
Public dataframes are accessible by anyone with a PandasAI account. They are indexed on the web for discovery. When users ask questions, they consume their own query quota.
Password-Protected Dataframes
Password-protected dataframes require a password to access. When accessing these dataframes, the owner’s query quota is consumed.
Organization Dataframes
Organization dataframes are available within your organization based on assigned permissions. Users can have read-only or write access as determined by the organization owner and administrators.