Forest vs Pandasql: What are the differences?
Developers describe Forest as "A universal admin interface designed to manage all your application data and business operations". Install the Forest agent in your application to analyze your data models and instantly set up an admin interface. Connect your 3rd party services to create intelligent consistency between all your data without needing to change context. On the other hand, Pandasql is detailed as "Make python speak SQL". pandasql allows you to query pandas DataFrames using SQL syntax. It works similarly to sqldf in R. pandasql seeks to provide a more familiar way of manipulating and cleaning data for people new to Python or pandas.
Forest and Pandasql belong to "Database Tools" category of the tech stack.
Pandasql is an open source tool with 737 GitHub stars and 109 GitHub forks. Here's a link to Pandasql's open source repository on GitHub.