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dlidstrom/NeuralNetworkInAllLangs

Vanilla neural network implemented in all major languages

★116STARS
⑂9FORKS
!1ISSUES
🏆#25,274GLOBAL RANK
🔥3DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

NeuralNetworkInAllLangs is NeuralNetworkInAllLangs is an open-source project written in Java: Vanilla neural network implemented in all major languages..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), dlidstrom/NeuralNetworkInAllLangs has accumulated 116 GitHub stars and 9 forks. It is written in Java, licensed under MIT, and ranks #25,274 globally. It is actively maintained with the latest commit recorded on Nov 12, 2026.”
Repository dlidstrom/NeuralNetworkInAllLangs ↗
Primary Category machine learning
Language & Stack Java
Software License MIT
Community Traction ★ 116 stars · ⑂ 9 forks · #25,274 globally
Maintenance ● Active (Last commit: Nov 12, 2026) · 1 open issues
Target Audience Developers and engineering teams building with Java, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 93/100 · Grade A+
✅
Is NeuralNetworkInAllLangs actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, NeuralNetworkInAllLangs is actively maintained. Continuous telemetry recorded the last code commit on Nov 12, 2026 (2 days ago). Supported by 116 stars and 9 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
Nov 12, 2026
2 days since last push
Issue Backlog
1 Open Issues
Healthy Issue Cadence
Community Backing
9 Forks
116 Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for dlidstrom/NeuralNetworkInAllLangs
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#1,826

MOST-STARRED Java

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

NeuralNetworkInAllLangs gained 10 stars in the last 30 days, about 1 a day, and now has 116. It is about 3 years old and has averaged roughly 39 stars a year. It ranks #1,826 among Java repositories and #25,274 across all languages on GitHubRepo.

Trending Record

NeuralNetworkInAllLangs has maintained a continuous presence across global trending indexes, peaking at #23592. Below is the 30-day activity profile:

💡 Overview

NeuralNetworkInAllLangs is an open-source project written in Java: Vanilla neural network implemented in all major languages.

Engineered for speed, consistency, and developer ease, it solves common hurdles in machine-learning, neural-network, recognizing-handwritten-digits. 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 Java 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
$ git clone https://github.com/dlidstrom/NeuralNetworkInAllLangs.git
cd NeuralNetworkInAllLangs

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

JDK 17 or higher (OpenJDK / GraalVM)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

NeuralNetworkInAllLangs coordinates its core functionality through a modular Java 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 NeuralNetworkInAllLangs into Java 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 NeuralNetworkInAllLangs using your package manager: `git clone https://github.com/dlidstrom/NeuralNetworkInAllLangs.git`

2

Initialize your project workspace or configuration file for NeuralNetworkInAllLangs.

3

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

4

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

👍 Strengths

Active community backing with 116 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Java 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 Java 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 Java, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

dlidstrom/NeuralNetworkInAllLangs is currently ranked #25,274 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#25,189 ammar027/lumen-webos Python ★ 117 Compare ↗
#25,189 xibushu/UniForge3D Python ★ 117 Compare ↗
#25,189 Tsanyamra/PeelZiz JavaScript ★ 117 Compare ↗
#25,189 ArcheOne-AI/RoboScript Python ★ 117 Compare ↗
#25,189 MZULALI/xj-scanner Python ★ 117 Compare ↗
#25,274 dlidstrom/NeuralNetworkInAllLangs This Project Java ★ 116
#25,274 defunkt/acts_as_textiled Ruby ★ 116 Compare ↗
#25,274 fasterthanlime/jooc-legacy Java ★ 116 Compare ↗
#25,274 jamesgolick/observational Ruby ★ 116 Compare ↗
#25,274 montylounge/django-sugar Python ★ 116 Compare ↗
#25,274 lsegal/barracuda C ★ 116 Compare ↗
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Frequently Asked Questions

What does NeuralNetworkInAllLangs do? +

Vanilla neural network implemented in all major languages

Is NeuralNetworkInAllLangs actively maintained in 2026? +

Yes, NeuralNetworkInAllLangs is actively maintained. The latest code push was recorded on Nov 12, 2026 (2 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 116 stars and 1 open issues.

What language is NeuralNetworkInAllLangs written in? +

The primary language is Java. Topics include: machine-learning, neural-network, recognizing-handwritten-digits, xor-neural-network.

How many stars does NeuralNetworkInAllLangs have? +

NeuralNetworkInAllLangs has 116 stars and 9 forks on GitHub.

How does NeuralNetworkInAllLangs rank among GitHub repositories? +

With 116 stars, dlidstrom/NeuralNetworkInAllLangs is ranked #25,274 globally across all repositories tracked on GitHubRepo and #1,826 among Java projects.

What license is NeuralNetworkInAllLangs distributed under? +

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

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