mllint VS spaCy

Compare mllint vs spaCy and see what are their differences.

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mllint spaCy
3 106
72 28,751
- 0.6%
3.8 9.2
almost 2 years ago 7 days ago
Go Python
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.

spaCy

Posts with mentions or reviews of spaCy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-06.

What are some alternatives?

When comparing mllint and spaCy 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.

TextBlob - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.

MLOps - MLOps examples

Stanza - Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

CortexTheseus - Cortex - AI on Blockchain, Official Golang implementation

NLTK - NLTK Source

gorse - Gorse open source recommender system engine

BERT-NER - Pytorch-Named-Entity-Recognition-with-BERT

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

polyglot - Multilingual text (NLP) processing toolkit

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.

textacy - NLP, before and after spaCy