IngameIME-Minecraft VS Capes

Compare IngameIME-Minecraft vs Capes and see what are their differences.

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IngameIME-Minecraft Capes
1 8
57 105
- 1.9%
8.6 5.5
about 1 year ago about 1 month ago
Java Kotlin
GNU Lesser General Public License v3.0 only GNU Lesser 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.

IngameIME-Minecraft

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

Capes

Posts with mentions or reviews of Capes. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-02.

What are some alternatives?

When comparing IngameIME-Minecraft and Capes you can also consider the following projects:

minecraft-mod - A Minecraft mod with a lot of cool features.

optichime - Rust app for converting OptiFine resource packs to Chime

client - A fairly good Minecraft client I guess!

fabric-mumblelink-mod - A Fabric mod that connects to the MumbleLink plugin.

Nuclear-Tech-Mod-Remake - A port to Minecraft 1.18 for the Nuclear Tech Mod originally made by HbmMods, migrating to https://codeberg.org/MartinTheDragon/Nuclear-Tech-Mod-Remake

OptifineMCP-1.8.9 - Minecraft PVP Client Mod developement

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Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.
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InfluxDB high-performance time series database
Collect, organize, and act on massive volumes of high-resolution data to power real-time intelligent systems.
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