dephell VS kedro-great

Compare dephell vs kedro-great and see what are their differences.

dephell

:package: :fire: Python project management. Manage packages: convert between formats, lock, install, resolve, isolate, test, build graph, show outdated, audit. Manage venvs, build package, bump version. (by dephell)

kedro-great

The easiest way to integrate Kedro and Great Expectations (by tamsanh)
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dephell kedro-great
5 1
1,668 52
- -
7.6 0.0
over 3 years ago over 1 year ago
Python Python
MIT License 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.

dephell

Posts with mentions or reviews of dephell. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-09.

kedro-great

Posts with mentions or reviews of kedro-great. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-30.

What are some alternatives?

When comparing dephell and kedro-great you can also consider the following projects:

PDM - A modern Python package and dependency manager supporting the latest PEP standards

great_expectations - Always know what to expect from your data.

conda - A system-level, binary package and environment manager running on all major operating systems and platforms.

Poetry - Python packaging and dependency management made easy

pip-tools - A set of tools to keep your pinned Python dependencies fresh.

streamlit - Streamlit — A faster way to build and share data apps.

pip - The Python package installer

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

wheel - Adoption analysis of Python Wheels: https://pythonwheels.com/

feast - Feature Store for Machine Learning

Curdling - Concurrent package manager for Python

fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production