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berylliumsec
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berylliumsec/nebula

Cybersecurity Harness

Python ◇ ai BSD-2-Clause
★1.2KSTARS
⑂178FORKS
!10ISSUES
🏆#7,909GLOBAL RANK
🔥44DAYS TRENDING
🚀
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⚡ Executive Summary & Quick Facts

Authoritative Source

nebula is nebula is an open-source project written in Python: AI-powered penetration testing assistant for automating recon, note-taking, and vulnerability analysis..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), berylliumsec/nebula has accumulated 1,157 GitHub stars and 178 forks. It is written in Python, licensed under BSD-2-Clause, and ranks #7,909 globally. It is actively maintained with the latest commit recorded on Nov 10, 2026.”
Repository berylliumsec/nebula ↗
Primary Category ai
Language & Stack Python
Software License BSD-2-Clause
Community Traction ★ 1.2K stars · ⑂ 178 forks · #7,909 globally
Maintenance ● Active (Last commit: Nov 10, 2026) · 10 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 nebula actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, nebula is actively maintained. Continuous telemetry recorded the last code commit on Nov 10, 2026 (2 days ago). Supported by 1,157 stars and 178 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
Nov 10, 2026
2 days since last push
Issue Backlog
10 Open Issues
Healthy Issue Cadence
Community Backing
178 Forks
1.2K Stars Recorded
Software License
BSD-2-Clause
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for berylliumsec/nebula
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Momentum

+42

STARS · LAST 30 DAYS

1

PER DAY

#1,152

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+22+42+90
Per day311
Forks gained+0+8+10

nebula gained 42 stars in the last 30 days, about 1 a day, and now has 1.2K. It is about 3 years old and has averaged roughly 386 stars a year. It ranks #1,152 among Python repositories and #7,909 across all languages on GitHubRepo.

Trending Record

nebula has maintained a continuous presence across global trending indexes, peaking at #1623. Below is the 30-day activity profile:

💡 Overview

nebula is an open-source project written in Python: AI-powered penetration testing assistant for automating recon, note-taking, and vulnerability analysis.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, ai-powered-ethical-hacking-tool, ai-powered-penetration-testing-tool. 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 nebula

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

nebula 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

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with nebula.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

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

2

Initialize your project workspace or configuration file for nebula.

3

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

4

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

👍 Strengths

Active community backing with 1,114 GitHub stars and verified adoption.
Permissive open-source distribution under the BSD-2-Clause 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

berylliumsec/nebula is currently ranked #7,909 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
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#7,909 berylliumsec/nebula This Project Python ★ 1.2K
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Frequently Asked Questions

What does nebula do? +

Cybersecurity Harness

Is nebula actively maintained in 2026? +

Yes, nebula is actively maintained. The latest code push was recorded on Nov 10, 2026 (2 days ago). It holds a calculated Maintenance Health Score of 97/100 (A+ rating) with 1,157 stars and 10 open issues.

What language is nebula written in? +

The primary language is Python. Topics include: ai, ai-powered-ethical-hacking-tool, ai-powered-penetration-testing-tool, cybersecurity, cybersecurity-tools.

How many stars does nebula have? +

nebula has 1,157 stars and 178 forks on GitHub.

How does nebula rank among GitHub repositories? +

With 1,157 stars, berylliumsec/nebula is ranked #7,909 globally across all repositories tracked on GitHubRepo and #1,152 among Python projects.

What license is nebula distributed under? +

The repository reports a BSD-2-Clause license. Always verify the repository LICENSE file for legal terms.

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