unity-astar VS AStar

Compare unity-astar vs 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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unity-astar AStar
1 1
2 17
- -
0.0 0.0
about 3 years ago over 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.

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.

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.

What are some alternatives?

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

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

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

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

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.

UniRx - Reactive Extensions for Unity

baritone - google maps for block game

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.