TRAC is a serverless framework that can rapidly convert a data science solution developed locally in the form of jupyter notebook or python script, to an interactive web application that can be used by external stakeholders. It is extremely useful to solve the “last mile” prod problem for internal DS solutions.

It provides a spreadsheet like UI for users to work with, also provides APIs to interact with the data so more complex UI can be built on top.

The invocation of the computation can be run locally or on kubernetes for now.

Users can provide multiple datasets, run the notebook with different parameters and conduct scenario analysis.

All the things are done automatically by scanning through the notebook provided. Data schemas, Parameters are inferred. UIs and APIs are auto-generated.