mllint VS CortexTheseus

Compare mllint vs CortexTheseus 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)

CortexTheseus

Cortex - AI on Blockchain, Official Golang implementation (by CortexFoundation)
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mllint CortexTheseus
3 3
72 114
- 0.0%
3.8 9.8
almost 2 years ago 1 day ago
Go Go
GNU General Public License v3.0 only GNU Lesser General Public License v3.0 only
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.

CortexTheseus

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

What are some alternatives?

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

mlnotify - 🔔 No need to keep checking your training - just one import line and you'll know the second it's done.

bittensor - Internet-scale Neural Networks

MLOps - MLOps examples

VictoriaMetrics - VictoriaMetrics: fast, cost-effective monitoring solution and time series database

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

aqueduct - Aqueduct is no longer being maintained. Aqueduct allows you to run LLM and ML workloads on any cloud infrastructure.

gorse - Gorse open source recommender system engine

numberlink - Program for generating and solving numberlink / flow free puzzles

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

PhotoPrism - AI-Powered Photos App for the Decentralized Web 🌈💎✨

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.

olivia - 💁‍♀️Your new best friend powered by an artificial neural network