mllint VS mlnotify

Compare mllint vs mlnotify and see what are their differences.

mllint

`mllint` is a command-line utility to evaluate the technical quality of Python Machine Learning (ML) projects by means of static analysis of the project's repository. (by bvobart)
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mllint mlnotify
3 9
72 340
- 0.0%
3.8 0.0
almost 2 years ago almost 2 years ago
Go Vue
GNU General Public License v3.0 only 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.

mllint

Posts with mentions or reviews of mllint. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-16.

mlnotify

Posts with mentions or reviews of mlnotify. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-28.

What are some alternatives?

When comparing mllint and mlnotify you can also consider the following projects:

MLOps - MLOps examples

datascience - Curated list of Python resources for data science.

CortexTheseus - Cortex - AI on Blockchain, Official Golang implementation

coco-annotator - :pencil2: Web-based image segmentation tool for object detection, localization, and keypoints

spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python

bitcoin_price_prediction - This project tries to prediction the bitcoin price with machine and deep learning.

gorse - Gorse open source recommender system engine

ludwig - Low-code framework for building custom LLMs, neural networks, and other AI models

awesome-seml - A curated list of articles that cover the software engineering best practices for building machine learning applications.

covalent - Teradata UI Platform built on Angular Material

dslinter - `dslinter` is a pylint plugin for linting data science and machine learning code. We plan to support the following Python libraries: TensorFlow, PyTorch, Scikit-Learn, Pandas and NumPy.

pycm - Multi-class confusion matrix library in Python