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lab-cosmo
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lab-cosmo/upet

Universal machine-learning models for advanced atomistic simulations

★250STARS
⑂27FORKS
!5ISSUES
🏆#17,388GLOBAL RANK
🔥45DAYS TRENDING
🚀
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⚡ Executive Summary & Quick Facts

Authoritative Source

upet is upet is an open-source project written in Python: Universal machine-learning models for advanced atomistic simulations..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), lab-cosmo/upet has accumulated 250 GitHub stars and 27 forks. It is written in Python, licensed under BSD-3-Clause, and ranks #17,388 globally. It is actively maintained with the latest commit recorded on Oct 26, 2026.”
Repository lab-cosmo/upet ↗
Primary Category machine learned interatomic potentials
Language & Stack Python
Software License BSD-3-Clause
Community Traction ★ 250 stars · ⑂ 27 forks · #17,388 globally
Maintenance ● Active (Last commit: Oct 26, 2026) · 5 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: 88/100 · Grade A
✅
Is upet actively maintained in 2026?
Verdict: Actively Maintained

Yes, upet is actively maintained. Continuous telemetry recorded the last code commit on Oct 26, 2026 (17 days ago). Supported by 250 stars and 27 community forks, this repository holds a calculated health index of 88/100, reflecting regular maintenance (17 days ago) and healthy issue cadence.

Commit Recency
Oct 26, 2026
17 days since last push
Issue Backlog
5 Open Issues
Healthy Issue Cadence
Community Backing
27 Forks
250 Stars Recorded
Software License
BSD-3-Clause
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for lab-cosmo/upet
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Momentum

+14

STARS · LAST 30 DAYS

1

PER DAY

#2,311

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+0+14+90
Per day111
Forks gained+0+3+10

upet gained 14 stars in the last 30 days, about 1 a day, and now has 250. It is about 2 years old and has averaged roughly 125 stars a year. It ranks #2,311 among Python repositories and #17,388 across all languages on GitHubRepo.

Trending Record

upet has maintained a continuous presence across global trending indexes, peaking at #1912. Below is the 30-day activity profile:

💡 Overview

upet is an open-source project written in Python: Universal machine-learning models for advanced atomistic simulations.

Engineered for speed, consistency, and developer ease, it solves common hurdles in machine-learned-interatomic-potentials, machine-learning, molecular-dynamics. 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 upet

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

upet 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 upet 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 BSD-3-Clause license.

🚀 Getting Started

1

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

2

Initialize your project workspace or configuration file for upet.

3

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

4

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

👍 Strengths

Active community backing with 235 GitHub stars and verified adoption.
Permissive open-source distribution under the BSD-3-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.

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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

lab-cosmo/upet is currently ranked #17,388 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#17,359 Manhhao/Hoshi-Reader Swift ★ 251 Compare ↗
#17,359 usamaiqb/network-scanner Kotlin ★ 251 Compare ↗
#17,359 sbom-tool/sbom-tools Rust ★ 251 Compare ↗
#17,359 VortXTV/VortX Swift ★ 251 Compare ↗
#17,359 the-geeky-couldron/waypoint Kotlin ★ 251 Compare ↗
#17,388 lab-cosmo/upet This Project Python ★ 250
#17,388 ConnorAtherton/rb-readline Ruby ★ 250 Compare ↗
#17,388 therubymug/hitch Ruby ★ 250 Compare ↗
#17,388 engineyard/rails_metrics Ruby ★ 250 Compare ↗
#17,388 WoltLab/WCF PHP ★ 250 Compare ↗
#17,388 getgrav/grav-learn PHP ★ 250 Compare ↗
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Frequently Asked Questions

What does upet do? +

Universal machine-learning models for advanced atomistic simulations

Is upet actively maintained in 2026? +

Yes, upet is actively maintained. The latest code push was recorded on Oct 26, 2026 (17 days ago). It holds a calculated Maintenance Health Score of 88/100 (A rating) with 250 stars and 5 open issues.

What language is upet written in? +

The primary language is Python. Topics include: machine-learned-interatomic-potentials, machine-learning, molecular-dynamics, universal-potential.

How many stars does upet have? +

upet has 250 stars and 27 forks on GitHub.

How does upet rank among GitHub repositories? +

With 250 stars, lab-cosmo/upet is ranked #17,388 globally across all repositories tracked on GitHubRepo and #2,311 among Python projects.

What license is upet distributed under? +

The repository reports a BSD-3-Clause license. Always verify the repository LICENSE file for legal terms.

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