Moqups
Balsamiq
Invision
UXpin
Axure
Proto.io
Zeplin
Figma
spaCy
Amazon Comprehend
Google Cloud Natural Language API
FuzzyWuzzy
Microsoft Bing Spell Check API
NLTK
OpenNLP
monkeylearn
MoqupsBased on our record, spaCy seems to be a lot more popular than Moqups. While we know about 58 links to spaCy, we've tracked only 3 mentions of Moqups. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Functions edit, add, remove post are for authorized persons (of course), that's why you have to make a new page with its layout by using Moqups, for example. - Source: dev.to / almost 3 years ago
I would also look at https://moqups.com/ if super-high-fidelity screens are not required. Source: almost 3 years ago
A mockup takes a wireframe to the next level. Depending on how confident you are in the design you’re proposing, you can create a basic mockup or put it more details, like images, colors and even some functionality. You can use tools like Mockflow and Moqups. Source: about 3 years ago
Hi Community, In this article, I will demonstrate below steps to create your own chatbot by using spaCy (spaCy is an open-source software library for advanced natural language processing, written in the programming languages Python and Cython):. - Source: dev.to / about 1 month ago
SpaCy: An open-source library providing tools for advanced NLP tasks like tokenization, entity recognition, and part-of-speech tagging. Source: 5 months ago
In this article, I'm going to walk through a sentiment analysis project from start to finish, using open-source Amazon product reviews. However, using the same approach, you can easily implement mass sentiment analysis on your own products. We'll explore an approach to sentiment analysis with one of the most popular Python NLP packages: spaCy. - Source: dev.to / 6 months ago
Spacy [0] is a state-of-art / easy-to-use NLP library from the pre-LLM era. This post is the Spacy founder's thoughts on how to integrate LLMs with the kind of problems that "traditional" NLP is used for right now. It's an advertisement for Prodigy [1], their paid tool for using LLMs to assist data labeling. That said, I think I largely agree with the premise, and it's worth reading the entire post. The steps... - Source: Hacker News / 8 months ago
I chose spacy. Although it's not state of the art, it's very well established and stable. Source: 10 months ago
Balsamiq - Balsamiq. Rapid, effective and fun wireframing software.
Amazon Comprehend - Discover insights and relationships in text
Invision - Prototyping and collaboration for design teams
Google Cloud Natural Language API - Natural language API using Google machine learning
UXpin - Design is really about solving problems. UXPin is the UX Design Platform that gets that right.
FuzzyWuzzy - FuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences.