Physics-guided augmentation and multi-scale Transformer learning for low-resource spectroscopy; CNMM-MSST XRF implementation optimized based on the JAAS paper.
⚡ Executive Summary & Quick Facts
Authoritative SourcePhySpec is PhySpec is an open-source project written in Python: Physics-guided augmentation and multi-scale Transformer learning for low-resource spectroscopy; CNMM-MSST XRF implementation optimized based on the JAAS paper..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), Mobaia/PhySpec has accumulated 98 GitHub stars and 0 forks. It is written in Python, licensed under MIT, and ranks #26,929 globally. It is actively maintained with the latest commit recorded on Sep 11, 2026.”
| Repository | Mobaia/PhySpec ↗ |
|---|---|
| Primary Category | few shot learning |
| Language & Stack | Python |
| Software License | MIT |
| Community Traction | ★ 98 stars · ⑂ 0 forks · #26,929 globally |
| Maintenance | ● Active (Last commit: Sep 11, 2026) · 0 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: 78/100 · Grade BYes, PhySpec is actively maintained. Continuous telemetry recorded the last code commit on Sep 11, 2026 (63 days ago). Supported by 98 stars and 0 community forks, this repository holds a calculated health index of 78/100, reflecting periodic maintenance (63 days ago) and healthy issue cadence.
Star History
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+0
STARS · LAST 30 DAYS
1
PER DAY
#3,829
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +0 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +0 | +10 |
PhySpec gained 0 stars in the last 30 days, about 1 a day, and now has 98. It is about 1 year old and has averaged roughly 98 stars a year. It ranks #3,829 among Python repositories and #26,929 across all languages on GitHubRepo.
Trending Record
46
DAYS ON TRENDING
#2529
BEST RANK
Sep 24, 2026
FIRST APPEARANCE
Active
STATUS TODAY
PhySpec has maintained a continuous presence across global trending indexes, peaking at #2529. Below is the 30-day activity profile:
💡 Overview
PhySpec is an open-source project written in Python: Physics-guided augmentation and multi-scale Transformer learning for low-resource spectroscopy; CNMM-MSST XRF implementation optimized based on the JAAS paper.
Engineered for speed, consistency, and developer ease, it solves common hurdles in few-shot-learning, physics-guided-learning, spectroscopy. 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 PhySpec⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
PhySpec 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 PhySpec using your package manager: `pip install PhySpec`
Initialize your project workspace or configuration file for PhySpec.
Import PhySpec into your codebase or invoke it directly from your terminal.
Execute your test suite or run `PhySpec --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
Mobaia/PhySpec is currently ranked #26,929 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #26,895 | NativePHP/superstack | PHP | ★ 99 | Compare ↗ |
| #26,895 | tomsen02/oss-audit | Python | ★ 99 | Compare ↗ |
| #26,895 | caiyuyou1227-glitch/tequila | Swift | ★ 99 | Compare ↗ |
| #26,895 | Yohuke-no-Symphony/Aegisub-NEXT | C# | ★ 99 | Compare ↗ |
| #26,895 | gameboy829/PS5-LZ4-Game-Compressor | C++ | ★ 99 | Compare ↗ |
| #26,929 | Mobaia/PhySpec This Project | Python | ★ 98 | |
| #26,929 | paulcarey/relaxdb | Ruby | ★ 98 | Compare ↗ |
| #26,929 | jeremyevans/sequel_postgresql_triggers | Ruby | ★ 98 | Compare ↗ |
| #26,929 | caelum/tubaina | HTML | ★ 98 | Compare ↗ |
| #26,929 | sunlightlabs/rack-honeypot | Ruby | ★ 98 | Compare ↗ |
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Frequently Asked Questions
What does PhySpec do? +
Physics-guided augmentation and multi-scale Transformer learning for low-resource spectroscopy; CNMM-MSST XRF implementation optimized based on the JAAS paper.
Is PhySpec actively maintained in 2026? +
Yes, PhySpec is actively maintained. The latest code push was recorded on Sep 11, 2026 (63 days ago). It holds a calculated Maintenance Health Score of 78/100 (B rating) with 98 stars and 0 open issues.
What language is PhySpec written in? +
The primary language is Python. Topics include: few-shot-learning, physics-guided-learning, spectroscopy, transformer, xrf.
How many stars does PhySpec have? +
PhySpec has 98 stars and 0 forks on GitHub.
How does PhySpec rank among GitHub repositories? +
With 98 stars, Mobaia/PhySpec is ranked #26,929 globally across all repositories tracked on GitHubRepo and #3,829 among Python projects.
What license is PhySpec distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
