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ninjahawk
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ninjahawk/livenerf

Benchmark for tracking model capability after release.

Python ◇ developer-tools MIT
★1.6KSTARS
⑂20FORKS
!3ISSUES
🏆#5,851GLOBAL RANK
🔥19DAYS TRENDING
🚀
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⚡ Executive Summary & Quick Facts

Authoritative Source

livenerf is livenerf is an open-source project written in Python: Benchmark for tracking model capability after release..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), ninjahawk/livenerf has accumulated 1,550 GitHub stars and 20 forks. It is written in Python, licensed under MIT, and ranks #5,851 globally. It is actively maintained with the latest commit recorded on Oct 20, 2026.”
Repository ninjahawk/livenerf ↗
Primary Category developer tools
Language & Stack Python
Software License MIT
Community Traction ★ 1.6K stars · ⑂ 20 forks · #5,851 globally
Maintenance ● Active (Last commit: Oct 20, 2026) · 3 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: 97/100 · Grade A+
✅
Is livenerf actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, livenerf is actively maintained. Continuous telemetry recorded the last code commit on Oct 20, 2026 (12 days ago). Supported by 1,550 stars and 20 community forks, this repository holds a calculated health index of 97/100, reflecting very active (commits within last 14 days) and healthy issue cadence.

Commit Recency
Oct 20, 2026
12 days since last push
Issue Backlog
3 Open Issues
Healthy Issue Cadence
Community Backing
20 Forks
1.6K Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for ninjahawk/livenerf
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Momentum

+584

STARS · LAST 30 DAYS

19

PER DAY

#820

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+0+584+1.7K
Per day11919
Forks gained+0+9+10

livenerf gained 584 stars in the last 30 days, about 19 a day, and now has 1.6K. It is about 1 year old and has averaged roughly 1.6K stars a year. It ranks #820 among Python repositories and #5,851 across all languages on GitHubRepo.

Trending Record

livenerf has maintained a continuous presence across global trending indexes, peaking at #95. Below is the 30-day activity profile:

💡 Overview

livenerf is an open-source project written in Python: Benchmark for tracking model capability after release.

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 livenerf

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

livenerf 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 livenerf 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 MIT license.

🚀 Getting Started

1

Install livenerf using your package manager: `pip install livenerf`

2

Initialize your project workspace or configuration file for livenerf.

3

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

4

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

👍 Strengths

Active community backing with 1,447 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT 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

ninjahawk/livenerf is currently ranked #5,851 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#5,843 nuxt/image TypeScript ★ 1.6K Compare ↗
#5,843 vinceglb/FileKit Kotlin ★ 1.6K Compare ↗
#5,843 hashicorp/terraform-mcp-server Go ★ 1.6K Compare ↗
#5,843 six2dez/burp-ai-agent Kotlin ★ 1.6K Compare ↗
#5,843 google/GNM Python ★ 1.6K Compare ↗
#5,851 ninjahawk/livenerf This Project Python ★ 1.6K
#5,851 openai/openai-java Kotlin ★ 1.6K Compare ↗
#5,853 iamolegga/nestjs-pino TypeScript ★ 1.5K Compare ↗
#5,854 toy/image_optim Ruby ★ 1.5K Compare ↗
#5,854 AccessKit/accesskit Rust ★ 1.5K Compare ↗
#5,854 bgreenwell/lstr Rust ★ 1.5K Compare ↗
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Frequently Asked Questions

What does livenerf do? +

Benchmark for tracking model capability after release.

Is livenerf actively maintained in 2026? +

Yes, livenerf is actively maintained. The latest code push was recorded on Oct 20, 2026 (12 days ago). It holds a calculated Maintenance Health Score of 97/100 (A+ rating) with 1,550 stars and 3 open issues.

What language is livenerf written in? +

The primary language is Python. Topics include: software.

How many stars does livenerf have? +

livenerf has 1,550 stars and 20 forks on GitHub.

How does livenerf rank among GitHub repositories? +

With 1,550 stars, ninjahawk/livenerf is ranked #5,851 globally across all repositories tracked on GitHubRepo and #820 among Python projects.

What license is livenerf distributed under? +

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

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