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stephanes-dev/ModelElohim

ModelElohim is a distributed neural network engine for real-time, auto-scalable machine learning computations on parallelized, data-intensive platforms.

JavaScript ◇ developer-tools MIT
★119STARS
⑂1FORKS
!0ISSUES
🏆#21,112GLOBAL RANK
🔥3DAYS TRENDING
🚀
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⚡ Executive Summary & Quick Facts

Authoritative Source

ModelElohim is ModelElohim is an open-source project written in JavaScript: ModelElohim is a distributed neural network engine for real-time, auto-scalable machine learning computations on parallelized, data-intensive platforms..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), stephanes-dev/ModelElohim has accumulated 119 GitHub stars and 1 forks. It is written in JavaScript, licensed under MIT, and ranks #21,112 globally. It is actively maintained with the latest commit recorded on Oct 17, 2026.”
Repository stephanes-dev/ModelElohim ↗
Primary Category developer tools
Language & Stack JavaScript
Software License MIT
Community Traction ★ 119 stars · ⑂ 1 forks · #21,112 globally
Maintenance ● Active (Last commit: Oct 17, 2026) · 0 open issues
Target Audience Developers and engineering teams building with JavaScript, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 88/100 · Grade A
✅
Is ModelElohim actively maintained in 2026?
Verdict: Actively Maintained

Yes, ModelElohim is actively maintained. Continuous telemetry recorded the last code commit on Oct 17, 2026 (16 days ago). Supported by 119 stars and 1 community forks, this repository holds a calculated health index of 88/100, reflecting regular maintenance (16 days ago) and healthy issue cadence.

Commit Recency
Oct 17, 2026
16 days since last push
Issue Backlog
0 Open Issues
Healthy Issue Cadence
Community Backing
1 Forks
119 Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for stephanes-dev/ModelElohim
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#1,835

MOST-STARRED JavaScript

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

ModelElohim gained 10 stars in the last 30 days, about 1 a day, and now has 119. It is about 1 year old and has averaged roughly 119 stars a year. It ranks #1,835 among JavaScript repositories and #21,112 across all languages on GitHubRepo.

Trending Record

ModelElohim has maintained a continuous presence across global trending indexes, peaking at #19451. Below is the 30-day activity profile:

💡 Overview

ModelElohim is an open-source project written in JavaScript: ModelElohim is a distributed neural network engine for real-time, auto-scalable machine learning computations on parallelized, data-intensive platforms.

Engineered for speed, consistency, and developer ease, it solves common hurdles in JavaScript. 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 JavaScript 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
$ npm install ModelElohim

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Node.js >= 18 or modern Evergreen browser

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

ModelElohim coordinates its core functionality through a modular JavaScript 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 ModelElohim into JavaScript 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

1

Install ModelElohim using your package manager: `npm install ModelElohim`

2

Initialize your project workspace or configuration file for ModelElohim.

3

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

4

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

👍 Strengths

Active community backing with 119 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in JavaScript 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 JavaScript 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 JavaScript, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

stephanes-dev/ModelElohim is currently ranked #21,112 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#21,038 DahSidiAbdallah/ConkerBFDReloaded C++ ★ 120 Compare ↗
#21,038 GladiatorSplit/hwid-spoofer-toolkit Python ★ 120 Compare ↗
#21,038 black-forest-labs/flux-3-image-klein Python ★ 120 Compare ↗
#21,038 zxcHolmes/minimax-h3-studio Python ★ 120 Compare ↗
#21,038 smarkyie/NSP-Box Python ★ 120 Compare ↗
#21,112 stephanes-dev/ModelElohim This Project JavaScript ★ 119
#21,112 rvirding/leex Erlang ★ 119 Compare ↗
#21,112 rnk/django-media-bundler Python ★ 119 Compare ↗
#21,112 simongregory/actionscript3-tmbundle ActionScript ★ 119 Compare ↗
#21,112 kupferlauncher/keybinder C ★ 119 Compare ↗
#21,112 cubicdaiya/onp JavaScript ★ 119 Compare ↗
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Frequently Asked Questions

What does ModelElohim do? +

ModelElohim is a distributed neural network engine for real-time, auto-scalable machine learning computations on parallelized, data-intensive platforms.

Is ModelElohim actively maintained in 2026? +

Yes, ModelElohim is actively maintained. The latest code push was recorded on Oct 17, 2026 (16 days ago). It holds a calculated Maintenance Health Score of 88/100 (A rating) with 119 stars and 0 open issues.

What language is ModelElohim written in? +

The primary language is JavaScript. Topics include: software.

How many stars does ModelElohim have? +

ModelElohim has 119 stars and 1 forks on GitHub.

How does ModelElohim rank among GitHub repositories? +

With 119 stars, stephanes-dev/ModelElohim is ranked #21,112 globally across all repositories tracked on GitHubRepo and #1,835 among JavaScript projects.

What license is ModelElohim distributed under? +

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

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