There are a wealth of high-quality research tools available in the machine learning open source community. However, as an industry we still lack standardised tooling that helps us put models into production. A lot of the code we produce can be repetitive, and we are still lacking industry-wide standards for things like storing experiment results, building and versioning models, and tracking model performance over time in production.
