11 dependents
| Package | Description | Downloads/month |
|---|---|---|
| Wedata Feature Engineering Library Development | 17K | |
| Make Data Scientist life Easier Tool | 1K | |
| 1K | ||
| WeData 3.0 机器学习 Notebook Kernel 运行时初始化库，提供 MLflow 深度桥接、Feast gRPC 代理、腾讯云 OpenAPI... | 971 | |
| 733 | ||
| Feast offline feature store implementation backed by the IBM Cloud Data Engine | 498 | |
| WeData 3.0 机器学习 Notebook Kernel 运行时初始化库（Python 3.9 兼容版），提供 MLflow 深度桥接、Feast gRP... | 356 | |
| A Feast Azure Provider | 123 | |
| ML engineer Test Case - Belvo | 84 | |
| ODD Collector | 69 | |
| This package makes it possible to use Ignite as online store for Feast. | 33 |
