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jhoward
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jhoward/Python-Neural-Network

A pure python implementation of a neural network.

★82STARS
⑂27FORKS
!1ISSUES
🏆#8,300GLOBAL RANK
🔥36DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for jhoward/Python-Neural-Network
CSV

Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#1,035

MOST-STARRED Python

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

Python-Neural-Network gained 10 stars in the last 30 days, about 1 a day, and now has 82. It is about 17 years old and has averaged roughly 5 stars a year. It ranks #1,035 among Python repositories and #8,300 across all languages on GitHubRepo.

Trending Record

Python-Neural-Network has maintained a continuous presence across global trending indexes, peaking at #100. Below is the 30-day activity profile:

💡 Overview

Python-Neural-Network is an open-source project written in Python: A pure python implementation of a neural network.

Engineered for speed, consistency, and developer ease, it solves common hurdles in Python. 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 Python-Neural-Network

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

Python-Neural-Network 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 Python-Neural-Network 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 source license.

🚀 Getting Started

1

Install Python-Neural-Network using your package manager: `pip install Python-Neural-Network`

2

Initialize your project workspace or configuration file for Python-Neural-Network.

3

Import Python-Neural-Network into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `Python-Neural-Network --help` to verify successful setup.

👍 Strengths

Active community backing with 82 GitHub stars and verified adoption.
Permissive open-source distribution under the Open Source 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.

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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

jhoward/Python-Neural-Network is currently ranked #8,300 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#8,290 nileshk/url-shortener Python ★ 83 Compare ↗
#8,290 cporter202/job-data-apis-and-scrapers JavaScript ★ 83 Compare ↗
#8,290 RobbyDwk/ZephyrRift PHP ★ 83 Compare ↗
#8,290 vinamega/ZephyrState PHP ★ 83 Compare ↗
#8,290 gesta-run/subpool Go ★ 83 Compare ↗
#8,300 jhoward/Python-Neural-Network This Project Python ★ 82
#8,300 ctagg/flickr Ruby ★ 82 Compare ↗
#8,300 yariv/twoorl Erlang ★ 82 Compare ↗
#8,300 evan/echoe Ruby ★ 82 Compare ↗
#8,300 basecamp/libmemcached_store Ruby ★ 82 Compare ↗
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Frequently Asked Questions

What does Python-Neural-Network do? +

A pure python implementation of a neural network.

What language is Python-Neural-Network written in? +

The primary language is Python. Topics include: software.

Is Python-Neural-Network actively maintained? +

Yes, the last recorded push was on Nov 27, 2021 with 1 open issues being tracked.

How many stars does Python-Neural-Network have? +

Python-Neural-Network has 82 stars and 27 forks on GitHub.

How does Python-Neural-Network rank among GitHub repositories? +

With 82 stars, jhoward/Python-Neural-Network is ranked #8,300 globally across all repositories tracked on GitHubRepo and #1,035 among Python projects.

What license is Python-Neural-Network distributed under? +

No SPDX license identified yet. Code without a license is subject to copyright by default.

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