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Carrot2 vs MeiliSearch

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Carrot2
4
10
+ 1
0
MeiliSearch
47
72
+ 1
1
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Carrot2 vs MeiliSearch: What are the differences?

Developers describe Carrot2 as "An Open Source Search Results Clustering Engine". It organizes your search results into topics. With an instant overview of what's available, you will quickly find what you're looking for. On the other hand, MeiliSearch is detailed as "*Ultra relevant, instant and typo-tolerant full-text search API *". It is a powerful, fast, open-source, easy to use, and deploy search engine. The search and indexation are fully customizable and handles features like typo-tolerance, filters, and synonyms.

Carrot2 and MeiliSearch can be categorized as "Search Engines" tools.

Some of the features offered by Carrot2 are:

  • Visualization
  • Clustering
  • Integration

On the other hand, MeiliSearch provides the following key features:

  • Search as-you-type experience (answers < 50ms)
  • Full-text search
  • Typo tolerant (understands typos and spelling mistakes)

Carrot2 and MeiliSearch are both open source tools. MeiliSearch with 731 GitHub stars and 24 forks on GitHub appears to be more popular than Carrot2 with 393 GitHub stars and 157 GitHub forks.

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Pros of Carrot2
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    What is Carrot2?

    It organizes your search results into topics. With an instant overview of what's available, you will quickly find what you're looking for.

    What is MeiliSearch?

    It is a powerful, fast, open-source, easy to use, and deploy search engine. The search and indexation are fully customizable and handles features like typo-tolerance, filters, and synonyms.

    Need advice about which tool to choose?Ask the StackShare community!

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    What tools integrate with Carrot2?
    What tools integrate with MeiliSearch?

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    What are some alternatives to Carrot2 and MeiliSearch?
    Atlas
    Atlas is one foundation to manage and provide visibility to your servers, containers, VMs, configuration management, service discovery, and additional operations services.
    Sphinx
    It lets you either batch index and search data stored in an SQL database, NoSQL storage, or just files quickly and easily — or index and search data on the fly, working with it pretty much as with a database server.
    Lucene
    Lucene Core, our flagship sub-project, provides Java-based indexing and search technology, as well as spellchecking, hit highlighting and advanced analysis/tokenization capabilities.
    Apache Solr
    It uses the tools you use to make application building a snap. It is built on the battle-tested Apache Zookeeper, it makes it easy to scale up and down.
    MkDocs
    It builds completely static HTML sites that you can host on GitHub pages, Amazon S3, or anywhere else you choose. There's a stack of good looking themes available. The built-in dev-server allows you to preview your documentation as you're writing it. It will even auto-reload and refresh your browser whenever you save your changes.
    See all alternatives

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