tech-diff VS awesome-python

Compare tech-diff vs awesome-python and see what are their differences.

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tech-diff awesome-python
1 5
12 253
- -
6.7 7.9
13 days ago 11 days ago
HTML HTML
Apache License 2.0 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.

tech-diff

Posts with mentions or reviews of tech-diff. We have used some of these posts to build our list of alternatives and similar projects.

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 tech-diff and awesome-python you can also consider the following projects:

top-pypi-packages - A regular dump of the most-downloaded packages from PyPI

PyGitHub - Typed interactions with the GitHub API v3

awesome-streamlit - The purpose of this project is to share knowledge on how awesome Streamlit is and can be

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

simple-data-analysis.js - Easy-to-use and high-performance JavaScript library for data analysis. [Moved to: https://github.com/nshiab/simple-data-analysis]

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

plain-free-bootstrap-admin-template - Free Vanilla JavaScript Bootstrap 5 Admin and Dashboard Template that comes with all essential dashboard components, elements, charts, graph and application pages.

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.

data.validator - validate your data and create nice reports straight from R

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