What is the best structured ds project you have seen?

• dslp

  4 379 1.8

  The Data Science Lifecycle Process is a process for taking data science teams from Idea to Value repeatedly and sustainably. The process is documented in this repo.

  

• projects

  19 77 4.7 Jupyter Notebook

  Sample projects using Ploomber. (by ploomber)

  

If you want to take a look at a full example of an organized ML project (training locally, training in Kubernetes, deploying as a microservice, packaging, unit tests). Check out this example.

• WorkOS

  workos.com sponsored

  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.

  

• ploomber

  121 3,369 7.8 Python

  The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️

  

It uses Ploomber which is a workflow orchestrator similar to Kedro.

• Kedro

  29 9,341 9.7 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.

  

Another one of my personal faves is Kedro. Great ETL framework made especially for data scientists.

Suggest a related project