example-get-started VS cml_dvc_case

Compare example-get-started vs cml_dvc_case and see what are their differences.

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example-get-started cml_dvc_case
2 1
167 18
0.0% -
4.0 0.0
13 days ago 6 months ago
Python Python
- -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

example-get-started

Posts with mentions or reviews of example-get-started. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-27.

cml_dvc_case

Posts with mentions or reviews of cml_dvc_case. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-08.

What are some alternatives?

When comparing example-get-started and cml_dvc_case you can also consider the following projects:

metaflow - :rocket: Build and manage real-life ML, AI, and data science projects with ease!

leaky-repo - Benchmarking repo for secrets scanning

PyDrive2 - Google Drive API Python wrapper library. Maintained fork of PyDrive.

ElementaryPython - Python application template for elementary OS.

dataset-registry - Dataset registry DVC project

pygame_tutorials - Code to go along with lessons at http://kidscancode.org/lessons

dvc - 🦉 ML Experiments and Data Management with Git

simple-fastapi-chat - Simple FastAPI chat with multinode suppor

ZnTrack - Create, visualize, run & benchmark DVC pipelines in Python & Jupyter notebooks.

cml-streamlit-template - A Template Repository for Continuous Machine Learning Project with GitHub Actions and display it live with deployment on Streamlit

Sacred - Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

write-docker-actions