This project is a Computer Vision implementation of general hierarchical pattern discovery principles introduced in README
⚡ Executive Summary & Quick Facts
Authoritative SourceCogAlg is CogAlg is an open-source project written in Python: This project is a Computer Vision implementation of general hierarchical pattern discovery principles introduced in README ..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), boris-kz/CogAlg has accumulated 101 GitHub stars and 40 forks. It is written in Python, licensed under MIT, and ranks #26,962 globally. It is actively maintained with the latest commit recorded on Nov 13, 2026.”
| Repository | boris-kz/CogAlg ↗ |
|---|---|
| Primary Category | computer vision |
| Language & Stack | Python |
| Software License | MIT |
| Community Traction | ★ 101 stars · ⑂ 40 forks · #26,962 globally |
| Maintenance | ● Active (Last commit: Nov 13, 2026) · 3 open issues |
| Target Audience | Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 93/100 · Grade A+Yes, CogAlg is actively maintained. Continuous telemetry recorded the last code commit on Nov 13, 2026 (1 days ago). Supported by 101 stars and 40 community forks, this repository holds a calculated health index of 93/100, reflecting very active (commits within last 14 days) and healthy issue cadence.
Star History
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Momentum
+10
STARS · LAST 30 DAYS
1
PER DAY
#3,845
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +3 | +10 |
CogAlg gained 10 stars in the last 30 days, about 1 a day, and now has 101. It is about 10 years old and has averaged roughly 10 stars a year. It ranks #3,845 among Python repositories and #26,962 across all languages on GitHubRepo.
Trending Record
25
DAYS ON TRENDING
#15999
BEST RANK
Oct 16, 2026
FIRST APPEARANCE
Active
STATUS TODAY
CogAlg has maintained a continuous presence across global trending indexes, peaking at #15999. Below is the 30-day activity profile:
💡 Overview
CogAlg is an open-source project written in Python: This project is a Computer Vision implementation of general hierarchical pattern discovery principles introduced in README .
Engineered for speed, consistency, and developer ease, it solves common hurdles in computer-vision, deep-learning, image-recognition. 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 CogAlg
⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
CogAlg 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 CogAlg 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 CogAlg using your package manager: `pip install CogAlg`
Initialize your project workspace or configuration file for CogAlg.
Import CogAlg into your codebase or invoke it directly from your terminal.
Execute your test suite or run `CogAlg --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
boris-kz/CogAlg is currently ranked #26,962 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #26,786 | OCEANIC7/weather1-desktop | TypeScript | ★ 102 | Compare ↗ |
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| #26,786 | perdana5758/x-lizard-password-manager | TypeScript | ★ 102 | Compare ↗ |
| #26,962 | boris-kz/CogAlg This Project | Python | ★ 101 | |
| #26,962 | basecamp/cached_externals | Ruby | ★ 101 | Compare ↗ |
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| #26,962 | yob/em-ftpd | Ruby | ★ 101 | Compare ↗ |
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Frequently Asked Questions
What does CogAlg do? +
This project is a Computer Vision implementation of general hierarchical pattern discovery principles introduced in README
Is CogAlg actively maintained in 2026? +
Yes, CogAlg is actively maintained. The latest code push was recorded on Nov 13, 2026 (1 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 101 stars and 3 open issues.
What language is CogAlg written in? +
The primary language is Python. Topics include: computer-vision, deep-learning, image-recognition, pattern-recognition.
How many stars does CogAlg have? +
CogAlg has 101 stars and 40 forks on GitHub.
How does CogAlg rank among GitHub repositories? +
With 101 stars, boris-kz/CogAlg is ranked #26,962 globally across all repositories tracked on GitHubRepo and #3,845 among Python projects.
What license is CogAlg distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.