OpenMLDB and OpenML
The two tools appear to be complementary ecosystem siblings, as OpenMLDB is a specialized database for ML feature computation, while OpenML is a platform facilitating open ML research and collaboration, with the former potentially integrating or contributing to the latter's broader ecosystem for sharing and reproducing ML experiments.
About OpenMLDB
4paradigm/OpenMLDB
OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.
This helps data scientists and ML engineers build and deploy machine learning applications faster. It takes your raw data and feature engineering logic (defined in SQL) and transforms it into consistent, real-time features for both model training and online predictions. Anyone who needs to get ML models from development to production with low latency will find this useful.
About OpenML
openml/OpenML
Open Machine Learning
OpenML helps machine learning scientists, students, and practitioners easily share and organize datasets, algorithms, and experimental results online. You can upload your data and experiment designs, then explore how others have tackled similar problems, compare your results against the state-of-the-art, and collaborate globally without worrying about incompatible tools. This platform accelerates research and makes machine learning more accessible.
Scores updated daily from GitHub, PyPI, and npm data. How scores work