deepmodeling/reacnetgenerator
an automatic reaction network generator for reactive molecular dynamics simulation
⚡ Executive Summary & Quick Facts
Authoritative Sourcereacnetgenerator is reacnetgenerator is an open-source project written in Python: an automatic reaction network generator for reactive molecular dynamics simulation..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), deepmodeling/reacnetgenerator has accumulated 105 GitHub stars and 47 forks. It is written in Python, licensed under LGPL-3.0, and ranks #26,006 globally. It is actively maintained with the latest commit recorded on Oct 31, 2026.”
| Repository | deepmodeling/reacnetgenerator ↗ |
|---|---|
| Primary Category | hmm |
| Language & Stack | Python |
| Software License | LGPL-3.0 |
| Community Traction | ★ 105 stars · ⑂ 47 forks · #26,006 globally |
| Maintenance | ● Active (Last commit: Oct 31, 2026) · 11 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: 93/100 · Grade A+Yes, reacnetgenerator is actively maintained. Continuous telemetry recorded the last code commit on Oct 31, 2026 (13 days ago). Supported by 105 stars and 47 community forks, this repository holds a calculated health index of 93/100, reflecting very active (commits within last 14 days) and healthy issue cadence.
Star History
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+10
STARS · LAST 30 DAYS
1
PER DAY
#3,650
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +3 | +10 |
reacnetgenerator gained 10 stars in the last 30 days, about 1 a day, and now has 105. It is about 9 years old and has averaged roughly 12 stars a year. It ranks #3,650 among Python repositories and #26,006 across all languages on GitHubRepo.
Trending Record
10
DAYS ON TRENDING
#20369
BEST RANK
Oct 31, 2026
FIRST APPEARANCE
Active
STATUS TODAY
reacnetgenerator has maintained a continuous presence across global trending indexes, peaking at #20369. Below is the 30-day activity profile:
💡 Overview
reacnetgenerator is an open-source project written in Python: an automatic reaction network generator for reactive molecular dynamics simulation.
Engineered for speed, consistency, and developer ease, it solves common hurdles in hmm, md, network. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install reacnetgenerator⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
reacnetgenerator 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
Modern Web Interfaces
Build dynamic, responsive user experiences with component-driven architecture.
Enterprise Design Systems
Standardize design tokens, accessible widgets, and themes across engineering teams.
Interactive Data Dashboards
Render real-time telemetry, user feeds, and analytics with sub-millisecond updates.
Cross-Platform Web Apps
Deploy performant single-page applications optimized for both mobile and desktop browsers.
🚀 Getting Started
Install reacnetgenerator using your package manager: `pip install reacnetgenerator`
Initialize your project workspace or configuration file for reacnetgenerator.
Import reacnetgenerator into your codebase or invoke it directly from your terminal.
Execute your test suite or run `reacnetgenerator --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 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
deepmodeling/reacnetgenerator is currently ranked #26,006 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
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|---|---|---|---|---|
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| #26,006 | deepmodeling/reacnetgenerator This Project | Python | ★ 105 | |
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Frequently Asked Questions
What does reacnetgenerator do? +
an automatic reaction network generator for reactive molecular dynamics simulation
Is reacnetgenerator actively maintained in 2026? +
Yes, reacnetgenerator is actively maintained. The latest code push was recorded on Oct 31, 2026 (13 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 105 stars and 11 open issues.
What language is reacnetgenerator written in? +
The primary language is Python. Topics include: hmm, md, network, python, reaction.
How many stars does reacnetgenerator have? +
reacnetgenerator has 105 stars and 47 forks on GitHub.
How does reacnetgenerator rank among GitHub repositories? +
With 105 stars, deepmodeling/reacnetgenerator is ranked #26,006 globally across all repositories tracked on GitHubRepo and #3,650 among Python projects.
What license is reacnetgenerator distributed under? +
The repository reports a LGPL-3.0 license. Always verify the repository LICENSE file for legal terms.
