AStar VS unity-astar

Compare AStar vs unity-astar and see what are their differences.

unity-astar

A Star (A*) algorithm in C# focused on performance and setup for Unity (by idbrii)
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AStar unity-astar
1 1
22 2
- -
0.0 0.0
over 3 years ago about 3 years ago
C# C#
- 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.

AStar

Posts with mentions or reviews of AStar. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-11.

unity-astar

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

What are some alternatives?

When comparing AStar and unity-astar you can also consider the following projects:

Dstar-lite-pathplanner - Implementation of the D* lite algorithm in Python for "Improved Fast Replanning for Robot Navigation in Unknown Terrain"

ILSpy - .NET Decompiler with support for PDB generation, ReadyToRun, Metadata (&more) - cross-platform!

AStar - A fast 2D path finding library based on the A* algorithm. Works with both grids and graphs. Supports any .NET variant that supports .NETStandard 2.0 or higher. This library has no external dependencies. The library is licensed under the MIT license.

Entitas - Entitas is a super fast Entity Component System (ECS) Framework specifically made for C# and Unity

baritone - google maps for block game

UniRx - Reactive Extensions for Unity

AssetStudio - AssetStudio is a tool for exploring, extracting and exporting assets and assetbundles.

ml-agents - The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.