Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Jina | 19,573 | 16 | 4 months ago | 2,453 | December 01, 2023 | 19 | apache-2.0 | Python | ||
☁️ Build multimodal AI applications with cloud-native stack | ||||||||||
Argo Workflows | 14,264 | 24 | 51 | 24 days ago | 449 | November 27, 2023 | 993 | apache-2.0 | Go | |
Workflow Engine for Kubernetes | ||||||||||
Kubeflow | 13,364 | 3 | 4 months ago | 64 | November 01, 2023 | 397 | apache-2.0 | TypeScript | ||
Machine Learning Toolkit for Kubernetes | ||||||||||
Kedro | 9,378 | 8 | 64 | 5 days ago | 46 | October 18, 2023 | 273 | apache-2.0 | Python | |
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular. | ||||||||||
Stanza | 6,931 | 2 | 91 | 4 months ago | 22 | December 03, 2023 | 83 | other | Python | |
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages | ||||||||||
Mage Ai | 6,324 | 4 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. | ||||||||||
Deeplearningproject | 4,043 | 4 years ago | 3 | mit | HTML | |||||
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch. | ||||||||||
Production Level Deep Learning | 3,957 | 6 months ago | 7 | |||||||
A guideline for building practical production-level deep learning systems to be deployed in real world applications. | ||||||||||
Orchest | 3,876 | a year ago | 19 | December 13, 2022 | 125 | apache-2.0 | TypeScript | |||
Build data pipelines, the easy way 🛠️ | ||||||||||
Zenml | 3,626 | 2 | a month ago | 116 | November 28, 2023 | 58 | apache-2.0 | Python | ||
ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io. |