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Flagship.io VS spaCy

Compare Flagship.io VS spaCy and see what are their differences

Flagsmith
Flagsmith lets you manage feature flags and remote config across web, mobile and server side applications. Deliver true Continuous Integration. Get builds out faster. Control who has access to new features. We're Open Source. featured
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Flagship.io logo Flagship.io

Feature Flag as a Service - Separate code deployments from feature releases to speed up development cycles, mitigate risks and release safely.

spaCy logo spaCy

spaCy is a library for advanced natural language processing in Python and Cython.
  • Flagship.io Landing page
    Landing page //
    2023-05-09

Flagship.io is a feature flagging platform for modern engineering and product teams that eliminates the risks of future releases by separating code deployments from these releases. With Flagship.io, we push the concept of feature flags to the next level giving you full control over the release process. With Flagship.io, you can:

  • Switch features on or off through remote config.
  • Separate code deployments from future releases.
  • Automatically roll-out your features gradually.
  • Roll back any feature should any issues arise.
  • Segment users by granting access to a feature based on certain user attributes.
  • Carry out A/B tests by easily assigning feature variations to groups of users.
  • spaCy Landing page
    Landing page //
    2023-06-26

Flagship.io features and specs

  • API: Yes
  • SDKs: Yes
  • Targeting Segments: Yes
  • Dashboards: Yes
  • Analytics and Reporting: Yes
  • Role Based Access Control: Yes
  • Data Import/Export: Yes
  • Free Trial: Yes
  • GDPR Compliant: Yes

spaCy features and specs

No features have been listed yet.

Flagship.io videos

+ Add

Video Feature Flag and Experimentation

spaCy videos

+ Add

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 Flagship.io and spaCy)

Flagship.io

spaCy

Feature Flags
100 100%
Feature Flags
0% 0
Natural Language Processing
0 0%
Natural Language Processing
100% 100
Developer Tools
100 100%
Developer Tools
0% 0
NLP And Text Analytics
0 0%
NLP And Text Analytics
100% 100

User comments

Share your experience with using Flagship.io and spaCy. For example, how are they different and which one is better?
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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.

Flagship.io mentions (0)

We have not tracked any mentions of Flagship.io yet. Tracking of Flagship.io recommendations started around Jul 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 / 3 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: 7 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 / 8 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 / 10 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: 12 months ago
View more

What are some alternatives?

When comparing Flagship.io and spaCy, you can also consider the following products

Flagsmith - Flagsmith lets you manage feature flags and remote config across web, mobile and server side applications. Deliver true Continuous Integration. Get builds out faster. Control who has access to new features. We're Open Source.

Amazon Comprehend - Discover insights and relationships in text

LaunchDarkly - LaunchDarkly is a powerful development tool which allows software developers to roll out updates and new features.

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

ConfigCat - ConfigCat is a developer-centric feature flag service with unlimited team size, awesome support, and a reasonable price tag.

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

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