iwlearn
hopsworks
| iwlearn | hopsworks | |
|---|---|---|
| 1 | 4 | |
| 3 | 1,083 | |
| - | 1.8% | |
| 0.0 | 9.2 | |
| almost 2 years ago | 5 days ago | |
| Python | Java | |
| Apache License 2.0 | GNU Affero General Public License v3.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
iwlearn
hopsworks
- Hopworks: MLOps platform with Python-centric Feature Store
- Show HN: Feature Store and Model Registry; Hopsworks 3.0
-
[D] Your 🫵 Preferred Feature Stores?
Anyways -> https://github.com/logicalclocks/hopsworks
-
Reflections on the Lack of Adoption of Domain Specific Languages [pdf]
We built the first open-source feature store for ML, https://github.com/logicalclocks/hopsworks , when every existing proprietary feature store (Uber Michelangelo and Bighead at AirBnb) were shouting about how their DSL for feature engineering was the future.
Fast-forward 2 years and it is clear that Data Scientists want to work with Python, not with a DSL. We based our Feature Store on a Dataframe API for Python/PySpark. The DSL can never evolve at the same rate as libraries in a general-purpose programming language. So, your DSL is great for show-casing a Feature Store, but when you need to compute embeddings or train a GAN or done any type of feature engineering that is not a simple time-window aggregation, you pull out Python (or Scala/Java). I am old enough to have seen many DSLs in different domains (GUIs, aspect-oriented programming, feature engineering) have their day in the sun only to be replaced by general-purpose programming languages due to their unmatched utility.
What are some alternatives?
feathr - Feathr – A scalable, unified data and AI engineering platform for enterprise
OpenMLDB - OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.
featureform - The Virtual Feature Store. Turn your existing data infrastructure into a feature store.
textX - Domain-Specific Languages and parsers in Python made easy http://textx.github.io/textX/
bytehub - ByteHub: making feature stores simple
feast - Feature Store for Machine Learning
serverless-ml-course - Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features
Milvus - A cloud-native vector database, storage for next generation AI applications