SolrNet VS DawgSharp

Compare SolrNet vs DawgSharp and see what are their differences.

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SolrNet DawgSharp
- 1
932 106
0.8% -
6.3 0.0
4 months ago about 1 year ago
C# C#
Apache License 2.0 GNU General Public License v3.0 only
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

SolrNet

Posts with mentions or reviews of SolrNet. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning SolrNet yet.
Tracking mentions began in Dec 2020.

DawgSharp

Posts with mentions or reviews of DawgSharp. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing SolrNet and DawgSharp you can also consider the following projects:

Apache Lucene - Apache Lucene.NET

JL - JL is a program for looking up Japanese words and expressions.

Elasticsearch .NET - This strongly-typed, client library enables working with Elasticsearch. It is the official client maintained and supported by Elastic.

xNode - Unity Node Editor: Lets you view and edit node graphs inside Unity

SolrExpress

DBreeze - C# .NET NOSQL ( key value store embedded ) ACID multi-paradigm database management system.

PlainElastic.Net - Plain .Net client for ElasticSearch

UpBlazor - 🏦 I built this site to integrate with Up bank (an Australian digital bank), to assist users with budgeting and to gain powerful future insights.

microsoft-authentication-library-for-dotnet - Microsoft Authentication Library (MSAL) for .NET

C# Algorithms - :books: :chart_with_upwards_trend: Plug-and-play class-library project of standard Data Structures and Algorithms in C#

trienet - .NET Implementations of Trie Data Structures for Substring Search, Auto-completion and Intelli-sense. Includes: patricia trie, suffix trie and a trie implementation using Ukkonen's algorithm.