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mushroomfire
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mushroomfire/mdapy

Fast building, analysis, simulation and visualization of atomistic systems, in Python.

Python ◇ elastic-constants MPL-2.0
★128STARS
⑂19FORKS
!1ISSUES
🏆#23,754GLOBAL RANK
🔥1DAYS TRENDING
🚀
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⚡ Executive Summary & Quick Facts

Authoritative Source

mdapy is mdapy is an open-source project written in Python: Fast building, analysis, simulation and visualization of atomistic systems, in Python..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), mushroomfire/mdapy has accumulated 128 GitHub stars and 19 forks. It is written in Python, licensed under MPL-2.0, and ranks #23,754 globally. It is actively maintained with the latest commit recorded on Nov 12, 2026.”
Repository mushroomfire/mdapy ↗
Primary Category elastic constants
Language & Stack Python
Software License MPL-2.0
Community Traction ★ 128 stars · ⑂ 19 forks · #23,754 globally
Maintenance ● Active (Last commit: Nov 12, 2026) · 1 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 mdapy actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, mdapy is actively maintained. Continuous telemetry recorded the last code commit on Nov 12, 2026 (0 days ago). Supported by 128 stars and 19 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 12, 2026
0 days since last push
Issue Backlog
1 Open Issues
Healthy Issue Cadence
Community Backing
19 Forks
128 Stars Recorded
Software License
MPL-2.0
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for mushroomfire/mdapy
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#3,218

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+7+10+90
Per day111
Forks gained+1+3+10

mdapy gained 10 stars in the last 30 days, about 1 a day, and now has 128. It is about 4 years old and has averaged roughly 32 stars a year. It ranks #3,218 among Python repositories and #23,754 across all languages on GitHubRepo.

Trending Record

mdapy has maintained a continuous presence across global trending indexes, peaking at #22801. Below is the 30-day activity profile:

💡 Overview

mdapy is an open-source project written in Python: Fast building, analysis, simulation and visualization of atomistic systems, in Python.

Engineered for speed, consistency, and developer ease, it solves common hurdles in elastic-constants, high-performance-computing, machine-learning-potentials. 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 mdapy

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

mdapy 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 mdapy 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 MPL-2.0 license.

🚀 Getting Started

1

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

2

Initialize your project workspace or configuration file for mdapy.

3

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

4

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

👍 Strengths

Active community backing with 128 GitHub stars and verified adoption.
Permissive open-source distribution under the MPL-2.0 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

mushroomfire/mdapy is currently ranked #23,754 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#23,650 mokevnin/dev-quality-gates Python ★ 129 Compare ↗
#23,650 Andreas698/glm-5.3-uncensored Python ★ 129 Compare ↗
#23,650 sdcb/SimdCodecs C# ★ 129 Compare ↗
#23,650 PlantCraft/PlantCraft Python ★ 129 Compare ↗
#23,650 jefferysha0627/agent-office-3d JavaScript ★ 129 Compare ↗
#23,754 mushroomfire/mdapy This Project Python ★ 128
#23,754 stuarthalloway/practical-cl-clojure Clojure ★ 128 Compare ↗
#23,754 apache/maven-release Java ★ 128 Compare ↗
#23,754 alex/pyvcs Python ★ 128 Compare ↗
#23,754 ice799/ltrace C ★ 128 Compare ↗
#23,754 vinibaggio/discover-unused-partials Ruby ★ 128 Compare ↗
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Frequently Asked Questions

What does mdapy do? +

Fast building, analysis, simulation and visualization of atomistic systems, in Python.

Is mdapy actively maintained in 2026? +

Yes, mdapy is actively maintained. The latest code push was recorded on Nov 12, 2026 (0 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 128 stars and 1 open issues.

What language is mdapy written in? +

The primary language is Python. Topics include: elastic-constants, high-performance-computing, machine-learning-potentials, material-science, molecular-dynamics.

How many stars does mdapy have? +

mdapy has 128 stars and 19 forks on GitHub.

How does mdapy rank among GitHub repositories? +

With 128 stars, mushroomfire/mdapy is ranked #23,754 globally across all repositories tracked on GitHubRepo and #3,218 among Python projects.

What license is mdapy distributed under? +

The repository reports a MPL-2.0 license. Always verify the repository LICENSE file for legal terms.

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