ViciousSquid/Dosidicus
Raise a neural network as a pet - a transparent cognitive sandbox where digital squids learn, grow, and rewire via Hebbian learning & Neurogenesis
⚡ Executive Summary & Quick Facts
Authoritative SourceDosidicus is Dosidicus is an open-source project written in Python: Raise a neural network as a pet - a transparent cognitive sandbox where digital squids learn, grow, and rewire via Hebbian learning & Neurogenesis..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), ViciousSquid/Dosidicus has accumulated 334 GitHub stars and 17 forks. It is written in Python, licensed under GPL-2.0, and ranks #15,128 globally. It is actively maintained with the latest commit recorded on Nov 11, 2026.”
| Repository | ViciousSquid/Dosidicus ↗ |
|---|---|
| Primary Category | artificial life |
| Language & Stack | Python |
| Software License | GPL-2.0 |
| Community Traction | ★ 334 stars · ⑂ 17 forks · #15,128 globally |
| Maintenance | ● Active (Last commit: Nov 11, 2026) · 2 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, Dosidicus is actively maintained. Continuous telemetry recorded the last code commit on Nov 11, 2026 (2 days ago). Supported by 334 stars and 17 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
Add Live Star History & Verified Badges to README.md
Keep your repository README looking professional and dynamic. As our continuous crawler records new stars, these official SVG badges update in real time with zero maintenance.
Renders your high-resolution star trajectory chart right inside your GitHub README or project docs.
[](https://githubrepo.cloud/repo/ViciousSquid/Dosidicus?utm_source=readme_chart)Compact badges for your README header. Real-time stars, velocity, health audit, and rank.
[](https://githubrepo.cloud/repo/ViciousSquid/Dosidicus?utm_source=readme_badge) [](https://githubrepo.cloud/repo/ViciousSquid/Dosidicus?utm_source=readme_badge) [](https://githubrepo.cloud/repo/ViciousSquid/Dosidicus?utm_source=readme_badge) [](https://githubrepo.cloud/repo/ViciousSquid/Dosidicus?utm_source=readme_badge) [](https://githubrepo.cloud/repo/ViciousSquid/Dosidicus?utm_source=readme_badge)Momentum
+10
STARS · LAST 30 DAYS
1
PER DAY
#2,028
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
Dosidicus gained 10 stars in the last 30 days, about 1 a day, and now has 334. It is about 2 years old and has averaged roughly 167 stars a year. It ranks #2,028 among Python repositories and #15,128 across all languages on GitHubRepo.
Trending Record
2
DAYS ON TRENDING
#16634
BEST RANK
Nov 11, 2026
FIRST APPEARANCE
Active
STATUS TODAY
Dosidicus has maintained a continuous presence across global trending indexes, peaking at #16634. Below is the 30-day activity profile:
💡 Overview
Dosidicus is an open-source project written in Python: Raise a neural network as a pet - a transparent cognitive sandbox where digital squids learn, grow, and rewire via Hebbian learning & Neurogenesis.
Engineered for speed, consistency, and developer ease, it solves common hurdles in artificial-life, digital-pet, digital-pet-game. 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 Dosidicus⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
Dosidicus 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
Modern Web Interfaces
Build dynamic, responsive user experiences with component-driven architecture.
Enterprise Design Systems
Standardize design tokens, accessible widgets, and themes across engineering teams.
Interactive Data Dashboards
Render real-time telemetry, user feeds, and analytics with sub-millisecond updates.
Cross-Platform Web Apps
Deploy performant single-page applications optimized for both mobile and desktop browsers.
🚀 Getting Started
Install Dosidicus using your package manager: `pip install Dosidicus`
Initialize your project workspace or configuration file for Dosidicus.
Import Dosidicus into your codebase or invoke it directly from your terminal.
Execute your test suite or run `Dosidicus --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
ViciousSquid/Dosidicus is currently ranked #15,128 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #15,106 | berelevant-ai/slopless | TypeScript | ★ 335 | Compare ↗ |
| #15,106 | Matteo842/CrashBandicoot-Launcher | C# | ★ 335 | Compare ↗ |
| #15,106 | mitos-editor/mitos | Rust | ★ 335 | Compare ↗ |
| #15,106 | CerealAxis/Nola-Translator | TypeScript | ★ 335 | Compare ↗ |
| #15,106 | umarz317/WatchPointer | Swift | ★ 335 | Compare ↗ |
| #15,128 | ViciousSquid/Dosidicus This Project | Python | ★ 334 | |
| #15,128 | dereuromark/cakephp-tools | PHP | ★ 334 | Compare ↗ |
| #15,128 | braintree/braintree_node | JavaScript | ★ 334 | Compare ↗ |
| #15,128 | cloudfoundry/cf-java-client | Java | ★ 334 | Compare ↗ |
| #15,128 | 3liz/lizmap-web-client | JavaScript | ★ 334 | Compare ↗ |
| #15,128 | Abc-Arbitrage/Zebus | C# | ★ 334 | Compare ↗ |
Frequently Asked Questions
What does Dosidicus do? +
Raise a neural network as a pet - a transparent cognitive sandbox where digital squids learn, grow, and rewire via Hebbian learning & Neurogenesis
Is Dosidicus actively maintained in 2026? +
Yes, Dosidicus is actively maintained. The latest code push was recorded on Nov 11, 2026 (2 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 334 stars and 2 open issues.
What language is Dosidicus written in? +
The primary language is Python. Topics include: artificial-life, digital-pet, digital-pet-game, digitalpet, hebbian.
How many stars does Dosidicus have? +
Dosidicus has 334 stars and 17 forks on GitHub.
How does Dosidicus rank among GitHub repositories? +
With 334 stars, ViciousSquid/Dosidicus is ranked #15,128 globally across all repositories tracked on GitHubRepo and #2,028 among Python projects.
What license is Dosidicus distributed under? +
The repository reports a GPL-2.0 license. Always verify the repository LICENSE file for legal terms.
