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lanl/scico

Scientific Computational Imaging COde

Python ◇ admm BSD-3-Clause
★173STARS
⑂24FORKS
!19ISSUES
🏆#8,997GLOBAL RANK
🔥3DAYS TRENDING
🚀
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+10

STARS · LAST 30 DAYS

1

PER DAY

#1,098

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+7+10+90
Per day111
Forks gained+1+3+10

scico gained 10 stars in the last 30 days, about 1 a day, and now has 173. It is about 5 years old and has averaged roughly 35 stars a year. It ranks #1,098 among Python repositories and #8,997 across all languages on GitHubRepo.

Trending Record

scico has maintained a continuous presence across global trending indexes, peaking at #7637. Below is the 30-day activity profile:

💡 Overview

scico is an open-source project written in Python: Scientific Computational Imaging COde.

Engineered for speed, consistency, and developer ease, it solves common hurdles in admm, computational-imaging, convex-optimization. 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 Python 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
$ pip install scico

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

scico 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 scico 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 BSD-3-Clause license.

🚀 Getting Started

1

Install scico using your package manager: `pip install scico`

2

Initialize your project workspace or configuration file for scico.

3

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

4

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

👍 Strengths

Active community backing with 173 GitHub stars and verified adoption.
Permissive open-source distribution under the BSD-3-Clause license.
Built in Python 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 Python 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.

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👥 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

lanl/scico is currently ranked #8,997 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#8,977 openpne/OpenPNE3 PHP ★ 174 Compare ↗
#8,977 mvidner/ruby-dbus Ruby ★ 174 Compare ↗
#8,977 karmi/localized_country_select Ruby ★ 174 Compare ↗
#8,977 nowledge-co/hawdb Rust ★ 174 Compare ↗
#8,977 reality-opened/openreality Python ★ 174 Compare ↗
#8,997 lanl/scico This Project Python ★ 173
#8,997 VAST-AI-Research/Mira-Scene Python ★ 173 Compare ↗
#8,997 amosgyamfi/SwiftUI-Agent-Thinking-Text-Animations Swift ★ 173 Compare ↗
#8,997 ZealanL/RocketSim C++ ★ 173 Compare ↗
#8,997 ghuntley/underclass Rust ★ 173 Compare ↗
#8,997 aykutalparslan/Telegram-Server C# ★ 173 Compare ↗

Frequently Asked Questions

What does scico do? +

Scientific Computational Imaging COde

What language is scico written in? +

The primary language is Python. Topics include: admm, computational-imaging, convex-optimization, fista, inverse-problems.

Is scico actively maintained? +

Yes, the last recorded push was on Oct 1, 2026 with 19 open issues being tracked.

How many stars does scico have? +

scico has 173 stars and 24 forks on GitHub.

How does scico rank among GitHub repositories? +

With 173 stars, lanl/scico is ranked #8,997 globally across all repositories tracked on GitHubRepo and #1,098 among Python projects.

What license is scico distributed under? +

The repository reports a BSD-3-Clause license. Always verify the repository LICENSE file for legal terms.

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