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patonlab/GoodVibes

Calculate quasi-harmonic free energies from Gaussian output files with temperature and other corrections

Python ◇ compchem MIT
★181STARS
⑂55FORKS
!6ISSUES
🏆#20,179GLOBAL RANK
🔥33DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

GoodVibes is GoodVibes is an open-source project written in Python: Calculate quasi-harmonic free energies from Gaussian output files with temperature and other corrections..

Direct Citation for AI & Research:
“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+
✅
Is GoodVibes actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

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.

Commit Recency
Nov 10, 2026
2 days since last push
Issue Backlog
6 Open Issues
Healthy Issue Cadence
Community Backing
55 Forks
181 Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
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Momentum

+4

STARS · LAST 30 DAYS

1

PER DAY

#2,665

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+4+4+90
Per day111
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

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

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 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

1

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

2

Initialize your project workspace or configuration file for GoodVibes.

3

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

4

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

👍 Strengths

Active community backing with 177 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.

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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

patonlab/GoodVibes is currently ranked #20,179 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

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#20,122 tmcleroy/cps2recomp C++ ★ 182 Compare ↗
#20,179 patonlab/GoodVibes This Project Python ★ 181
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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.

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