Keystone Alternatives
Simplifying robust end-to-end machine learning on Apache Spark.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Dagster | 9,467 |  | 2 | 133 | 8 months ago | 585 | December 07, 2023 | 2,343 | apache-2.0 | Python |
| An orchestration platform for the development, production, and observation of data assets. | ||||||||||
| Mage Ai | 6,324 | 8 months ago | 314 | December 06, 2023 | 189 | apache-2.0 | Python | |||
| 🧙 The modern replacement for Airflow. Build, run, and manage data pipelines for integrating and transforming data. | ||||||||||
| Cube Studio | 1,710 | 8 months ago | 1 | October 13, 2022 | 74 | other | Jupyter Notebook | |||
| cube studio开源云原生一站式机器学习/深度学习AI平台，支持sso登录，多租户/多项目组，数据资产对接，notebook在线开发，拖拉拽任务流pipeline编排，多机多卡分布式算法训练，超参搜索，推理服务VGPU，多集群调度，边缘计算，serverless，标注平台，自动化标注，数据集管理，大模型一键微调，llmops，私有知识库，AI应用商店，支持模型一键开发/推理/微调，私有化部署，支持国产cpu/gpu/npu芯片，支持RDMA，支持pytorch/tf/mxnet/deepspeed/paddle/colossalai/horovod/spark/ray/volcano分布式 | ||||||||||
| Mleap | 1,479 | 15 | 12 | 10 months ago | 26 | May 07, 2021 | 109 | apache-2.0 | Scala | |
| MLeap: Deploy ML Pipelines to Production | ||||||||||
| Digandburied | 645 | 8 years ago | 4 | GCC Machine Description | ||||||
| 挖坑与填坑 | ||||||||||
| Goodreads_etl_pipeline | 593 | 5 years ago | mit | Python | ||||||
| An end-to-end GoodReads Data Pipeline for Building Data Lake, Data Warehouse and Analytics Platform. | ||||||||||
| Keystone | 472 | 7 years ago | 5 | March 03, 2017 | 39 | apache-2.0 | Scala | |||
| Simplifying robust end-to-end machine learning on Apache Spark. | ||||||||||
| Sparkflow | 301 | a year ago | 13 | May 18, 2019 | 9 | mit | Python | |||
| Easy to use library to bring Tensorflow on Apache Spark | ||||||||||
| Koober | 301 | 7 years ago | 3 | Scala | ||||||
| Sparktorch | 297 | a year ago | 11 | December 07, 2019 | 12 | mit | Python | |||
| Train and run Pytorch models on Apache Spark. | ||||||||||
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