Tempo is a python SDK for data scientists to help them move their models to production. It has 4 core goals:
Data science friendly.
Custom python inference components.
Powerful orchestration logic.
Package your trained model artifacts to optimized server runtimes (Tensorflow, PyTorch, Sklearn, XGBoost etc)
Package custom business logic to production servers.
Build an inference pipeline of models and orchestration steps.
Include any custom python components as needed.
Test Locally – Deploy to Production
Supporting a wide range of production runtimes
Create stateful services.