nhcustom VS hud-merger

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

nhcustom

nhcustom is a program whose purpose is to modify the Team Fortress 2 mod "no-hats-bgum". (by Fedora31)
Tf2

hud-merger

A C#/WPF application for merging custom HUDs in Team Fortress 2 (by cooolbros)
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nhcustom hud-merger
1 1
1 26
- -
0.7 9.1
almost 2 years ago 21 days ago
C# C#
The Unlicense GNU 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.

nhcustom

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

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.

What are some alternatives?

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

mastercomfig - A modern customization framework for Team Fortress 2

flawhud - Custom HUD for Team Fortress 2

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

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

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

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

yolov3-tf2 - YoloV3 Implemented in Tensorflow 2.0

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

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