hud-merger VS nhcustom

Compare hud-merger vs nhcustom and see what are their differences.

hud-merger

A C#/WPF application for merging custom HUDs in Team Fortress 2 (by cooolbros)

nhcustom

nhcustom is a program whose purpose is to modify the Team Fortress 2 mod "no-hats-bgum". (by Fedora31)
Tf2
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hud-merger nhcustom
1 1
26 1
- -
9.1 0.7
14 days ago almost 2 years ago
C# C#
GNU General Public License v3.0 only The Unlicense
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.

hud-merger

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

nhcustom

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

What are some alternatives?

When comparing hud-merger and nhcustom you can also consider the following projects:

flawhud - Custom HUD for Team Fortress 2

mastercomfig - A modern customization framework for Team Fortress 2

Venom-Crosshairs - A client-side solution to TF2 weapon-specific crosshairs.

TF2HUD.Editor - A tool for installing and customizing your favorite Team Fortress 2 HUDs.

tf2-patches - Team Fortress 2, but with a lot of fixes, QoL improvements and performance optimizations!

tensorflow-yolov4-tflite - YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite

TF-Source-2 - Team Fortress 2 on Source 2 — A gamemode for s&box [UnavailableForLegalReasons - Repository access blocked]

yolov3-tf2 - YoloV3 Implemented in Tensorflow 2.0

tf-explain - Interpretability Methods for tf.keras models with Tensorflow 2.x