cml_dvc_case VS example-get-started

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

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cml_dvc_case example-get-started
1 2
18 167
- 0.0%
0.0 4.0
6 months ago 14 days 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.

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.

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.

What are some alternatives?

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

leaky-repo - Benchmarking repo for secrets scanning

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

ElementaryPython - Python application template for elementary OS.

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

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

dataset-registry - Dataset registry DVC project

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

dvc - 🦉 ML Experiments and Data Management with Git

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

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

write-docker-actions

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