Software Alternatives, Accelerators & Startups

spaCy VS Foundation for Emails 2

Compare spaCy VS Foundation for Emails 2 and see what are their differences

spaCy logo spaCy

spaCy is a library for advanced natural language processing in Python and Cython.

Foundation for Emails 2 logo Foundation for Emails 2

Create responsive HTML emails that work on any device
  • spaCy Landing page
    Landing page //
    2023-06-26
  • Foundation for Emails 2 Landing page
    Landing page //
    2022-09-11

spaCy videos

Honda Spacy Helm in PGM-FI Review & Test Ride

More videos:

  • Review - Review Singkat Honda Spacy
  • Review - REVIEW HONDA SPACY 2018/2019

Foundation for Emails 2 videos

Foundation for Emails 2.2: New features and updates

Category Popularity

0-100% (relative to spaCy and Foundation for Emails 2)
Natural Language Processing
Email Newsletters
0 0%
100% 100
NLP And Text Analytics
100 100%
0% 0
Email Marketing
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, spaCy seems to be a lot more popular than Foundation for Emails 2. While we know about 58 links to spaCy, we've tracked only 5 mentions of Foundation for Emails 2. 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.

spaCy mentions (58)

  • Step by step guide to create customized chatbot by using spaCy (Python NLP library)
    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 / 2 months ago
  • Best AI SEO Tools for NLP Content Optimization
    SpaCy: An open-source library providing tools for advanced NLP tasks like tokenization, entity recognition, and part-of-speech tagging. Source: 6 months ago
  • A beginner’s guide to sentiment analysis using OceanBase and spaCy
    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 / 7 months ago
  • Against LLM Maximalism
    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
  • What do you all think about (setq sentence-end-double-space nil)?
    I chose spacy. Although it's not state of the art, it's very well established and stable. Source: 11 months ago
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Foundation for Emails 2 mentions (5)

What are some alternatives?

When comparing spaCy and Foundation for Emails 2, you can also consider the following products

Amazon Comprehend - Discover insights and relationships in text

MJML - The open source framework for responsive emails

Google Cloud Natural Language API - Natural language API using Google machine learning

HTMLEmail.io - Responsive HTML email templates for startups & developers

FuzzyWuzzy - FuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences.

MJML App - The only app that makes responsive email easy