hopsworks
textX
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| hopsworks | textX | |
|---|---|---|
| 4 | 2 | |
| 1,074 | 754 | |
| 1.4% | 1.1% | |
| 9.2 | 8.3 | |
| 3 days ago | 9 days ago | |
| Java | Python | |
| GNU Affero General Public License v3.0 | MIT License |
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.
hopsworks
- Hopworks: MLOps platform with Python-centric Feature Store
- Show HN: Feature Store and Model Registry; Hopsworks 3.0
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[D] Your 🫵 Preferred Feature Stores?
Anyways -> https://github.com/logicalclocks/hopsworks
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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.
textX
- Da li u Srbiji , generalno prostoru balkana , ima "Ozbiljnih" Open source kreatora?
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Reflections on the Lack of Adoption of Domain Specific Languages [pdf]
Textx is the only game in town.
https://github.com/textX/textX
Last commit was a week ag
What are some alternatives?
feathr - Feathr – A scalable, unified data and AI engineering platform for enterprise
Lark - Lark is a parsing toolkit for Python, built with a focus on ergonomics, performance and modularity.
featureform - The Virtual Feature Store. Turn your existing data infrastructure into a feature store.
pyparsing - Python library for creating PEG parsers [Moved to: https://github.com/pyparsing/pyparsing]
feast - Feature Store for Machine Learning
rdflib - RDFLib is a Python library for working with RDF, a simple yet powerful language for representing information.
OpenMLDB - OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.
prometeo - An experimental Python-to-C transpiler and domain specific language for embedded high-performance computing
iwlearn - "Production First" Machine Learning Framework
pydantic - Data validation using Python type hints
serverless-ml-course - Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features
neanderthal - Fast Clojure Matrix Library