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skymanbp/autoshade

AI-assisted RAW photo developer: GPT vision advisor proposes an EditRecipe, a deterministic Rust engine renders it — Lightroom-compatible XMP sidecars, 24 RAW formats + baked images, measured (not guessed) Lightroom mask geometry, local GUI/web UI, AI denoise & segmentation sidecars

★1.2KSTARS
⑂52FORKS
!2ISSUES
🏆#7,532GLOBAL RANK
🔥44DAYS TRENDING
🚀
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⚡ Executive Summary & Quick Facts

Authoritative Source

autoshade is autoshade is an open-source project written in Rust: AI-assisted RAW photo developer: GPT vision advisor proposes an EditRecipe, a deterministic Rust engine renders it — Lightroom-compatible XMP sidecars, 24 RAW formats + baked images, measured (not guessed) Lightroom mask geometry, local GUI/web UI, AI denoise & segmentation sidecars..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), skymanbp/autoshade has accumulated 1,249 GitHub stars and 52 forks. It is written in Rust, licensed under MIT, and ranks #7,532 globally. It is actively maintained with the latest commit recorded on Oct 26, 2026.”
Repository skymanbp/autoshade ↗
Primary Category ai photo editing
Language & Stack Rust
Software License MIT
Community Traction ★ 1.2K stars · ⑂ 52 forks · #7,532 globally
Maintenance ● Active (Last commit: Oct 26, 2026) · 2 open issues
Target Audience Developers and engineering teams building with Rust, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 92/100 · Grade A
✅
Is autoshade actively maintained in 2026?
Verdict: Actively Maintained

Yes, autoshade is actively maintained. Continuous telemetry recorded the last code commit on Oct 26, 2026 (17 days ago). Supported by 1,249 stars and 52 community forks, this repository holds a calculated health index of 92/100, reflecting regular maintenance (17 days ago) and healthy issue cadence.

Commit Recency
Oct 26, 2026
17 days since last push
Issue Backlog
2 Open Issues
Healthy Issue Cadence
Community Backing
52 Forks
1.2K Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for skymanbp/autoshade
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Momentum

+837

STARS · LAST 30 DAYS

28

PER DAY

#731

MOST-STARRED Rust

Window7 days30 days90 days
Stars gained+0+837+2.5K
Per day12828
Forks gained+0+0+10

autoshade gained 837 stars in the last 30 days, about 28 a day, and now has 1.2K. It is about 1 year old and has averaged roughly 1.2K stars a year. It ranks #731 among Rust repositories and #7,532 across all languages on GitHubRepo.

Trending Record

autoshade has maintained a continuous presence across global trending indexes, peaking at #103. Below is the 30-day activity profile:

💡 Overview

autoshade is an open-source project written in Rust: AI-assisted RAW photo developer: GPT vision advisor proposes an EditRecipe, a deterministic Rust engine renders it — Lightroom-compatible XMP sidecars, 24 RAW formats + baked images, measured (not guessed) Lightroom mask geometry, local GUI/web UI, AI denoise & segmentation sidecars.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-photo-editing, camera-raw, denoising. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Rust for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ cargo install autoshade

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Rust toolchain (rustc / cargo >= 1.70)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

autoshade coordinates its core functionality through a modular Rust 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

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with autoshade.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install autoshade using your package manager: `cargo install autoshade`

2

Initialize your project workspace or configuration file for autoshade.

3

Import autoshade into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `autoshade --help` to verify successful setup.

👍 Strengths

Active community backing with 230 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Rust for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Rust and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

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👥 Who Should Use This

Developers and engineering teams building with Rust, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

skymanbp/autoshade is currently ranked #7,532 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

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#7,532 skymanbp/autoshade This Project Rust ★ 1.2K
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Frequently Asked Questions

What does autoshade do? +

AI-assisted RAW photo developer: GPT vision advisor proposes an EditRecipe, a deterministic Rust engine renders it — Lightroom-compatible XMP sidecars, 24 RAW formats + baked images, measured (not guessed) Lightroom mask geometry, local GUI/web UI, AI denoise & segmentation sidecars

Is autoshade actively maintained in 2026? +

Yes, autoshade is actively maintained. The latest code push was recorded on Oct 26, 2026 (17 days ago). It holds a calculated Maintenance Health Score of 92/100 (A rating) with 1,249 stars and 2 open issues.

What language is autoshade written in? +

The primary language is Rust. Topics include: ai-photo-editing, camera-raw, denoising, gpt, image-processing.

How many stars does autoshade have? +

autoshade has 1,249 stars and 52 forks on GitHub.

How does autoshade rank among GitHub repositories? +

With 1,249 stars, skymanbp/autoshade is ranked #7,532 globally across all repositories tracked on GitHubRepo and #731 among Rust projects.

What license is autoshade distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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