featureform
bytehub
Our great sponsors
featureform | bytehub | |
---|---|---|
28 | 3 | |
1,674 | 57 | |
1.1% | - | |
9.7 | 0.0 | |
2 days ago | almost 3 years ago | |
Jupyter Notebook | Python | |
Mozilla Public 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.
featureform
- Still look familiar?
- Featureform: A Python Framework for the Entire Feature Lifecycle. Define, Version, Orchestrate, & Deploy ML Features with OSS Featureform!
- Does this look familiar?
- Does this look familiar? Define, Manage, & Serve your ML Features with OSS Featureform!
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What’s your process for deploying a data pipeline from a notebook, running it, and managing it in production?
Feature store: new hot one: https://www.featureform.com/
- featureform / featureform :
- Featureform: An Open-Source Feature Store for your ML Features
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?
feast - Feature Store for Machine Learning
feathr - Feathr – A scalable, unified data and AI engineering platform for enterprise
Milvus - A cloud-native vector database, storage for next generation AI applications
fugue - A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.
covalent - Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
awesome-vector-search - Collections of vector search related libraries, service and research papers
OpenMLDB - OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.
hopsworks - Hopsworks - Data-Intensive AI platform with a Feature Store
Hyperactive - An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
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