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SinapisAI/collective-model-intelligence

From a universe of models to Collective Model Intelligence.

★125STARS
⑂1FORKS
!0ISSUES
🏆#19,642GLOBAL RANK
🔥4DAYS TRENDING
🚀
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⚡ Executive Summary & Quick Facts

Authoritative Source

collective-model-intelligence is collective-model-intelligence is an open-source project written in Python: From a universe of models to Collective Model Intelligence..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of October 2026), SinapisAI/collective-model-intelligence has accumulated 125 GitHub stars and 1 forks. It is written in Python, licensed under Apache-2.0, and ranks #19,642 globally. It is actively maintained with the latest commit recorded on Oct 20, 2026.”
Repository SinapisAI/collective-model-intelligence ↗
Primary Category collective model intelligence
Language & Stack Python
Software License Apache-2.0
Community Traction ★ 125 stars · ⑂ 1 forks · #19,642 globally
Maintenance ● Active (Last commit: Oct 20, 2026) · 0 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+
✅
Is collective-model-intelligence actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, collective-model-intelligence is actively maintained. Continuous telemetry recorded the last code commit on Oct 20, 2026 (9 days ago). Supported by 125 stars and 1 community forks, this repository holds a calculated health index of 93/100, reflecting very active (commits within last 14 days) and healthy issue cadence.

Commit Recency
Oct 20, 2026
9 days since last push
Issue Backlog
0 Open Issues
Healthy Issue Cadence
Community Backing
1 Forks
125 Stars Recorded
Software License
Apache-2.0
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for SinapisAI/collective-model-intelligence
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#2,540

MOST-STARRED Python

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

collective-model-intelligence gained 10 stars in the last 30 days, about 1 a day, and now has 125. It is about 1 year old and has averaged roughly 125 stars a year. It ranks #2,540 among Python repositories and #19,642 across all languages on GitHubRepo.

Trending Record

collective-model-intelligence has maintained a continuous presence across global trending indexes, peaking at #2524. Below is the 30-day activity profile:

💡 Overview

collective-model-intelligence is an open-source project written in Python: From a universe of models to Collective Model Intelligence.

Engineered for speed, consistency, and developer ease, it solves common hurdles in collective-model-intelligence, model-capabilities, model-collaboration. 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 collective-model-intelligence

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

collective-model-intelligence 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 collective-model-intelligence 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 Apache-2.0 license.

🚀 Getting Started

1

Install collective-model-intelligence using your package manager: `pip install collective-model-intelligence`

2

Initialize your project workspace or configuration file for collective-model-intelligence.

3

Import collective-model-intelligence into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `collective-model-intelligence --help` to verify successful setup.

👍 Strengths

Active community backing with 125 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 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.

⇄ Alternatives & Direct Competitors

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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

SinapisAI/collective-model-intelligence is currently ranked #19,642 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#19,554 codegirl-007/jevlint Go ★ 126 Compare ↗
#19,554 PhysicalRSI/PhysicalRSI Python ★ 126 Compare ↗
#19,554 Zihan-Su/Self_Gradient_Forcing_Plus Python ★ 126 Compare ↗
#19,554 assetnote/h3fuzz Go ★ 126 Compare ↗
#19,554 markklab1903d9/CS2-FPS-Optimizer-Performance-Boost-Lag-Fix-Tool-2026 Python ★ 126 Compare ↗
#19,642 SinapisAI/collective-model-intelligence This Project Python ★ 125
#19,642 tog/tog Ruby ★ 125 Compare ↗
#19,642 dokterbob/django-agenda Python ★ 125 Compare ↗
#19,642 ciren/cilib Scala ★ 125 Compare ↗
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Frequently Asked Questions

What does collective-model-intelligence do? +

From a universe of models to Collective Model Intelligence.

Is collective-model-intelligence actively maintained in 2026? +

Yes, collective-model-intelligence is actively maintained. The latest code push was recorded on Oct 20, 2026 (9 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 125 stars and 0 open issues.

What language is collective-model-intelligence written in? +

The primary language is Python. Topics include: collective-model-intelligence, model-capabilities, model-collaboration.

How many stars does collective-model-intelligence have? +

collective-model-intelligence has 125 stars and 1 forks on GitHub.

How does collective-model-intelligence rank among GitHub repositories? +

With 125 stars, SinapisAI/collective-model-intelligence is ranked #19,642 globally across all repositories tracked on GitHubRepo and #2,540 among Python projects.

What license is collective-model-intelligence distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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