Our great sponsors
-
-
-
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.
-
There is an open source version of VS Code without the data collection part: https://vscodium.com/
If you want to get into building more than just individual scripts and notebooks and combine them in DAG structures/pipelines you could check out https://github.com/orchest/orchest. We integrate JupyterLab, so that's the IDE you'll get (for editing text files we also integrate VS Code).
A lot of solutions I've seen is either jupyterlab/IDE with the percent format and an added functionality on top of it like ploomber: https://github.com/ploomber/ploomber I think the main question is if you're looking to maintain the notebook feel and just work with .py scripts behind the scenes.
Related posts
- Decent low code options for orchestration and building data flows?
- Build ML workflows with Jupyter notebooks
- Building container images in Kubernetes, how would you approach it?
- Ideas for infrastructure and tooling to use for frequent model retraining?
- Looking for a mentor in MLOps. I am a lead developer.