Calculate quasi-harmonic free energies from Gaussian output files with temperature and other corrections
⚡ Executive Summary & Quick Facts
Authoritative SourceGoodVibes is GoodVibes is an open-source project written in Python: Calculate quasi-harmonic free energies from Gaussian output files with temperature and other corrections..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), patonlab/GoodVibes has accumulated 181 GitHub stars and 55 forks. It is written in Python, licensed under MIT, and ranks #20,179 globally. It is actively maintained with the latest commit recorded on Nov 10, 2026.”
| Repository | patonlab/GoodVibes ↗ |
|---|---|
| Primary Category | compchem |
| Language & Stack | Python |
| Software License | MIT |
| Community Traction | ★ 181 stars · ⑂ 55 forks · #20,179 globally |
| Maintenance | ● Active (Last commit: Nov 10, 2026) · 6 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, GoodVibes is actively maintained. Continuous telemetry recorded the last code commit on Nov 10, 2026 (2 days ago). Supported by 181 stars and 55 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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Momentum
+4
STARS · LAST 30 DAYS
1
PER DAY
#2,665
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +4 | +4 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +1 | +10 |
GoodVibes gained 4 stars in the last 30 days, about 1 a day, and now has 181. It is about 11 years old and has averaged roughly 16 stars a year. It ranks #2,665 among Python repositories and #20,179 across all languages on GitHubRepo.
Trending Record
33
DAYS ON TRENDING
#7098
BEST RANK
Oct 6, 2026
FIRST APPEARANCE
Active
STATUS TODAY
GoodVibes has maintained a continuous presence across global trending indexes, peaking at #7098. Below is the 30-day activity profile:
💡 Overview
GoodVibes is an open-source project written in Python: Calculate quasi-harmonic free energies from Gaussian output files with temperature and other corrections.
Engineered for speed, consistency, and developer ease, it solves common hurdles in compchem, dispersion, gaussian. 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 GoodVibes
⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
GoodVibes 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 GoodVibes 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
Install GoodVibes using your package manager: `pip install GoodVibes`
Initialize your project workspace or configuration file for GoodVibes.
Import GoodVibes into your codebase or invoke it directly from your terminal.
Execute your test suite or run `GoodVibes --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
patonlab/GoodVibes is currently ranked #20,179 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
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Frequently Asked Questions
What does GoodVibes do? +
Calculate quasi-harmonic free energies from Gaussian output files with temperature and other corrections
Is GoodVibes actively maintained in 2026? +
Yes, GoodVibes is actively maintained. The latest code push was recorded on Nov 10, 2026 (2 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 181 stars and 6 open issues.
What language is GoodVibes written in? +
The primary language is Python. Topics include: compchem, dispersion, gaussian, orca, quasi-harmonic.
How many stars does GoodVibes have? +
GoodVibes has 181 stars and 55 forks on GitHub.
How does GoodVibes rank among GitHub repositories? +
With 181 stars, patonlab/GoodVibes is ranked #20,179 globally across all repositories tracked on GitHubRepo and #2,665 among Python projects.
What license is GoodVibes distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.