textacy VS IEPY

Compare textacy vs IEPY and see what are their differences.

Our great sponsors
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • SaaSHub - Software Alternatives and Reviews
textacy IEPY
1 -
2,173 903
0.7% -0.3%
6.1 0.0
7 months ago over 2 years ago
Python Python
GNU General Public License v3.0 or later BSD 3-clause "New" or "Revised" 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.

textacy

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

IEPY

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

We haven't tracked posts mentioning IEPY yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing textacy and IEPY you can also consider the following projects:

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

Jieba - 结巴中文分词

NLTK - NLTK Source

quepy - A python framework to transform natural language questions to queries in a database query language.

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

Pattern - Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.

PyTorch-NLP - Basic Utilities for PyTorch Natural Language Processing (NLP)

SnowNLP - Python library for processing Chinese text

pntl - Practical Natural Language Processing Tools for Humans is build on the top of Senna Natural Language Processing (NLP) predictions: part-of-speech (POS) tags, chunking (CHK), name entity recognition (NER), semantic role labeling (SRL) and syntactic parsing (PSG) with skip-gram all in Python and still more features will be added. The website give is for downlarding Senna tool