Software Alternatives & Reviews

Polarion ALM VS spaCy

Compare Polarion ALM VS spaCy and see what are their differences

Polarion ALM logo Polarion ALM

Polarion ALM improves application development processes with a single, unified solution for requirements, coding, testing, and release.

spaCy logo spaCy

spaCy is a library for advanced natural language processing in Python and Cython.
  • Polarion ALM Landing page
    Landing page //
    2021-09-20
  • spaCy Landing page
    Landing page //
    2023-06-26

Polarion ALM videos

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spaCy videos

Honda Spacy Helm in PGM-FI Review & Test Ride

More videos:

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

Category Popularity

0-100% (relative to Polarion ALM and spaCy)
Project Management
100 100%
0% 0
Natural Language Processing
Website Testing
100 100%
0% 0
NLP And Text Analytics
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, spaCy seems to be more popular. It has been mentiond 58 times since March 2021. 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.

Polarion ALM mentions (0)

We have not tracked any mentions of Polarion ALM yet. Tracking of Polarion ALM recommendations started around Mar 2021.

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 / about 1 month 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: 5 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 / 6 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: 10 months ago
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What are some alternatives?

When comparing Polarion ALM and spaCy, you can also consider the following products

Visual Studio Team Services - Visual Studio Team Services (VSTS) provides unlimited Git hosting, cloud build for CI, agile planning and continuous delivery.

Amazon Comprehend - Discover insights and relationships in text

Micro Focus ALM - Learn how Micro Focus’ Application Lifecycle Management (ALM) software tools provide the agility, visibility, and collaboration solutions you need to optimize app development and testing, foster innovation, and improve the user experience.

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

Helix ALM - Helix ALM is the single, integrated application that lets you centralize and manage requirements, test cases, issues, and other development artifacts and their relationships.

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