Top 5 Jupyter Notebook DevOps Projects
-
Reactors
🌱 Join a community of developers at Microsoft Reactor and connect with people, skills, and technology to build your career or personal learning. We offer free livestreams, on-demand content, and hybrid/in-person events daily around the world. Access our projects and code here.
-
Workshops
Workshops organized to introduce students to security, AI, blockchain, AR/VR, hardware and software (by PoCInnovation)
-
WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
-
InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
If you would like to put Kubernetes on top of this kind of setup this repo is helpful https://github.com/robrohan/skoupidia
The main benefit for me using it for my ML work loads is you can shutoff nodes entirely when you are not using them, then when you turn them back on they just rejoin the cluster.
It also helps managing different types of devices and workload (tpu vs gpu vs cpu)
Jupyter Notebook DevOps related posts
Index
What are some of the best open-source DevOps projects in Jupyter Notebook? This list will help you:
Project | Stars | |
---|---|---|
1 | Reactors | 506 |
2 | Workshops | 354 |
3 | ml-pipeline-engineering | 36 |
4 | it-salary-analysis | 13 |
5 | skoupidia | 6 |
Sponsored