example-dvc-experiments VS awesome-python

Compare example-dvc-experiments vs awesome-python and see what are their differences.

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example-dvc-experiments awesome-python
1 5
13 251
- -
0.0 7.9
12 months ago 23 days ago
HTML HTML
- MIT License
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-dvc-experiments

Posts with mentions or reviews of example-dvc-experiments. We have used some of these posts to build our list of alternatives and similar projects.
  • DVC (Git For Data): A Complete Intro
    1 project | dev.to | 9 Sep 2021
    While working with DVC, we have to create two files dvc.yaml which contains information about the stages the ML pipeline will have and params.yaml which contains the parameters that different stages of the ML pipeline would use. You can take a look at the structure of both files on the example repository.

awesome-python

Posts with mentions or reviews of awesome-python. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-21.

What are some alternatives?

When comparing example-dvc-experiments and awesome-python you can also consider the following projects:

gradio - Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

PyGitHub - Typed interactions with the GitHub API v3

awesome-python - An opinionated list of awesome Python frameworks, libraries, software and resources.

DearPyGui - Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies

terraform - Terraform enables you to safely and predictably create, change, and improve infrastructure. It is a source-available tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned.

Arcade - Easy to use Python library for creating 2D arcade games.

pyglet - pyglet is a cross-platform windowing and multimedia library for Python, for developing games and other visually rich applications.

tech-diff - Compare different technologies. No BS and all sources linked.

criticality_score - Gives criticality score for an open source project