NTE AutoFish | Pixel Utility Lab
A downloadable tool
NTE AutoFish is a Windows fishing assistant for NTE: Neverness to Everness.
It uses screen recognition to assist:
- casting from the fishing-ready screen
- fish-hook prompt handling
- A/D fishing bar control
- result-screen recovery
Demo:
Recommended environment:
- Windows 10/11
- Python 3.11+
- Borderless fullscreen
- 1920x1080+ resolution
- 100% Windows display scale
- HDR/color filters disabled
Disclaimer:
This is an unofficial automation tool and is not affiliated with Hotta Studio, Perfect World Games, itch.io, LemonSqueezy, or Neverness to Everness. Automating gameplay may violate game terms of service. Use at your own risk.
Setup details:
https://github.com/Ranats/nte-autofish
Update v0.1.1 - Stability and safety improvements
- Improved result-screen detection and close/retry behavior after a catch.
- Added safer pause behavior when the no-bait notice or fishing menu is detected.
- Reduced false pauses from no-bait detection while the normal cast prompt is visible.
- Improved NTE foreground-window handling so inputs are skipped when the target window cannot be confirmed.
- Added target-window capture support for more reliable screen recognition when configured.
- Tuned cast/hook retry timing for cases where prompts are briefly hidden or the first input is missed.
- Added shutdown summary logs with counts for easier dry-run review.
- Expanded automated tests for minigame steering, result recovery, safety pauses, and foreground input blocking.
This remains an unofficial screen-recognition automation tool. Use at your own risk; compatibility may change with game updates, resolution, display mode, UI scale, HDR/color settings, and anti-cheat/account environment.
| Updated | 1 day ago |
| Published | 4 days ago |
| Status | Released |
| Category | Tool |
| Author | Ranats |
| Tags | Automation, Fishing, screen-recognition, tool, utility, windows |
| AI Disclosure | AI Assisted, Code, Graphics |
Purchase
In order to download this tool you must purchase it at or above the minimum price of $5 USD. You will get access to the following files:

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