Last year, Databricks launched MLflow, an open source framework to manage the machine learning lifecycle that works with any ML library to simplify ML engineering. MLflow provides tools for experiment tracking, reproducible runs and model management that make machine learning applications easier to develop and deploy. In the past year, the MLflow community has grown quickly: 80 contributors from o
![Accelerating the Machine Learning Lifecycle with MLflow 1.0 | M. Zaharia, A. Davidson, G. Buehrer](https://cdn-ak-scissors.b.st-hatena.com/image/square/849e3b9f1d4df4a0e77e99cb996c833c1b623132/height=288;version=1;width=512/https%3A%2F%2Fi.ytimg.com%2Fvi%2FQJW_kkRWAUs%2Fhqdefault.jpg)