Kizzuwatnaa/DLSS5-Autopilot
Puts DLSS 5 neural rendering into games that never shipped it, and brings the game's own DLSS up to date - super resolution, ray reconstruction, frame generation. Scans your library, picks one of eight routes, fetches every part from its publisher at run time, then says what happened. One exe, no admin; uninstall puts the game back.
Star History
Momentum
+19
STARS · LAST 30 DAYS
1
PER DAY
#374
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +19 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
DLSS5-Autopilot gained 19 stars in the last 30 days, about 1 a day, and now has 779. It is about 1 year old and has averaged roughly 779 stars a year. It ranks #374 among Python repositories and #2,977 across all languages on GitHubRepo.
Trending Record
6
DAYS ON TRENDING
#361
BEST RANK
Sep 23, 2026
FIRST APPEARANCE
Active
STATUS TODAY
DLSS5-Autopilot has maintained a continuous presence across global trending indexes, peaking at #361. Below is the 30-day activity profile:
💡 Overview
DLSS5-Autopilot is an open-source project written in Python: Puts DLSS 5 neural rendering into games that never shipped it, and brings the game's own DLSS up to date - super resolution, ray reconstruction, frame generation. Scans your library, picks one of eight routes, fetches every part from its publisher at run time, then says what happened. One exe, no admin; uninstall puts the game back.
Engineered for speed, consistency, and developer ease, it solves common hurdles in dlaa, dll-swap, dlss. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install DLSS5-Autopilot⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
DLSS5-Autopilot coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Production System Integration
Embed DLSS5-Autopilot into Python backend services to handle core application logic.
CI/CD Automated Pipelines
Run automated validation, builds, and integration suites during deployments.
Developer Tooling & Workflows
Accelerate developer onboarding with pre-configured project utilities.
Open Source Extension
Fork and customize internal modules under the repository's open MIT license.
🚀 Getting Started
Install DLSS5-Autopilot using your package manager: `pip install DLSS5-Autopilot`
Initialize your project workspace or configuration file for DLSS5-Autopilot.
Import DLSS5-Autopilot into your codebase or invoke it directly from your terminal.
Execute your test suite or run `DLSS5-Autopilot --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
Kizzuwatnaa/DLSS5-Autopilot is currently ranked #2,977 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #2,971 | yegor256/cactoos | Java | ★ 782 | Compare ↗ |
| #2,973 | Fody/MethodTimer | C# | ★ 781 | Compare ↗ |
| #2,973 | Consensys-Incorporated/teku | Java | ★ 781 | Compare ↗ |
| #2,973 | mjpieters/aiolimiter | Python | ★ 781 | Compare ↗ |
| #2,976 | jonathanpeppers/dotnes | C# | ★ 780 | Compare ↗ |
| #2,977 | Kizzuwatnaa/DLSS5-Autopilot This Project | Python | ★ 779 | |
| #2,977 | civicrm/civicrm-core | PHP | ★ 779 | Compare ↗ |
| #2,979 | actix/actix-net | Rust | ★ 778 | Compare ↗ |
| #2,980 | SwiftyLab/MetaCodable | Swift | ★ 777 | Compare ↗ |
| #2,981 | leepeuker/movary | PHP | ★ 776 | Compare ↗ |
| #2,982 | rokartur/BetterCmdTab | Swift | ★ 774 | Compare ↗ |
Frequently Asked Questions
What does DLSS5-Autopilot do? +
Puts DLSS 5 neural rendering into games that never shipped it, and brings the game's own DLSS up to date - super resolution, ray reconstruction, frame generation. Scans your library, picks one of eight routes, fetches every part from its publisher at run time, then says what happened. One exe, no admin; uninstall puts the game back.
What language is DLSS5-Autopilot written in? +
The primary language is Python. Topics include: dlaa, dll-swap, dlss, dlss5, dxvk.
Is DLSS5-Autopilot actively maintained? +
Yes, the last recorded push was on Sep 28, 2026 with 21 open issues being tracked.
How many stars does DLSS5-Autopilot have? +
DLSS5-Autopilot has 779 stars and 36 forks on GitHub.
How does DLSS5-Autopilot rank among GitHub repositories? +
With 779 stars, Kizzuwatnaa/DLSS5-Autopilot is ranked #2,977 globally across all repositories tracked on GitHubRepo and #374 among Python projects.
What license is DLSS5-Autopilot distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
