nlphoseGUI VS nlphose

Compare nlphoseGUI vs nlphose and see what are their differences.

nlphoseGUI

This tool allows you to create Natural Language Processing pipelines for use with nlphose using a Blockly based GUI editor in any browser. As you create a pipeline it shows you the corresponding nlphose command which will execute the pipeline. (by code2k13)

nlphose

Enables creation of complex NLP pipelines in seconds, for processing static files or streaming text, using a set of simple command line tools. Perform multiple operation on text like NER, Sentiment Analysis, Chunking, Language Identification, Q&A, 0-shot Classification and more by executing a single command in the terminal. Can be used as a low code or no code Natural Language Processing solution. Also works with Kubernetes and PySpark ! (by code2k13)
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nlphoseGUI nlphose
1 4
3 10
- -
0.0 2.7
about 2 years ago over 2 years ago
JavaScript Jupyter Notebook
Apache License 2.0 Apache License 2.0
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.

nlphoseGUI

Posts with mentions or reviews of nlphoseGUI. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-07-17.

nlphose

Posts with mentions or reviews of nlphose. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-07-17.

What are some alternatives?

When comparing nlphoseGUI and nlphose you can also consider the following projects:

blockly - The web-based visual programming editor.

ABSA-PyTorch - Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析,使用PyTorch实现。