feathr
bytehub
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| feathr | bytehub | |
|---|---|---|
| 9 | 3 | |
| 1,928 | 57 | |
| 1.2% | - | |
| 6.7 | 0.0 | |
| 26 days ago | almost 3 years ago | |
| Scala | Python | |
| Apache License 2.0 | GNU General Public License v3.0 only |
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.
feathr
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[D] good feature store?
For open source/free feature stores, look into Feathr https://github.com/feathr-ai/feathr and Feast https://feast.dev/.
- Open sourcing Feathr – LinkedIn’s feature store for productive machine learning
- Show HN: Feathr – An Open-Source, Enterprise-Grade Virtual Feature Store
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[P] Feathr - An Open-Source, Enterprise-Grade and High-Performance Feature Store
Open Sourcing Feathr
- [D] Your 🫵 Preferred Feature Stores?
- Feathr – LinkedIn Open Sourced Its Feature Store
- Feathr – an enterprise-grade, high performance feature store
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LinkedIn Open-Sources ‘Feathr’, It’s Feature Store To Simplify Machine Learning (ML) Feature Management And Improve Developer Productivity
LinkedIn research team has recently open-sourced feature store, Feathr, created to simplify machine learning (ML) feature management and increase developer productivity. Feathr is used by dozens of LinkedIn applications to define features, compute them for training, deploy them in production, and share them across consumers. Compared to previous application-specific feature pipeline solutions, Feathr users reported significantly reduced time required to add new features to model training and improved runtime performance.
bytehub
- [D] Your 🫵 Preferred Feature Stores?
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ByteHub: simple timeseries data preparation in Python
Hi everyone! We’ve been building a Python-based feature-store called ByteHub. The aim is to make time series data easy to store, access, and transform when building machine-learning models. It’s available as an open-source library or as a low-cost cloud-hosted service.
- Show HN: Easy-to-use feature store for ML
What are some alternatives?
hopsworks - Hopsworks - Data-Intensive AI platform with a Feature Store
fugue - A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.
feast - Feature Store for Machine Learning
covalent - Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
featureform - The Virtual Feature Store. Turn your existing data infrastructure into a feature store.
OpenMLDB - OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.
Hyperactive - An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
metarank - A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine
prosto - Prosto is a data processing toolkit radically changing how data is processed by heavily relying on functions and operations with functions - an alternative to map-reduce and join-groupby
Clustering4Ever - C4E, a JVM friendly library written in Scala for both local and distributed (Spark) Clustering.