bullseye VS Marten

Compare bullseye vs Marten and see what are their differences.

bullseye

🎯 A .NET library for running a target dependency graph. (by adamralph)
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bullseye Marten
4 23
823 2,662
- 2.1%
8.0 9.8
about 20 hours ago 6 days ago
C# C#
Apache License 2.0 MIT License
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.

bullseye

Posts with mentions or reviews of bullseye. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-25.

Marten

Posts with mentions or reviews of Marten. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-06.

What are some alternatives?

When comparing bullseye and Marten you can also consider the following projects:

Cake - :cake: Cake (C# Make) is a cross platform build automation system.

Event Store - EventStoreDB, the event-native database. Designed for Event Sourcing, Event-Driven, and Microservices architectures

ClearScript - A library for adding scripting to .NET applications. Supports V8 (Windows, Linux, macOS) and JScript/VBScript (Windows).

MongoDB - The MongoDB Database

dartz - Functional programming in Dart

RavenDB - ACID Document Database

UpdatR - Update tool for package reference and dotnet-tools.json

Yessql - A .NET document database working on any RDBMS

ScriptCS - Write C# apps with a text editor, nuget and the power of Roslyn!

efcore.pg - Entity Framework Core provider for PostgreSQL

dotnet-script - Run C# scripts from the .NET CLI.

LiteDB - LiteDB - A .NET NoSQL Document Store in a single data file