Physics-guided augmentation and multi-scale Transformer learning for low-resource spectroscopy; CNMM-MSST XRF implementation optimized based on the JAAS paper.
Star History
Momentum
+10
STARS · LAST 30 DAYS
1
PER DAY
#819
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
PhySpec gained 10 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 #819 among Python repositories and #6,807 across all languages on GitHubRepo.
Trending Record
5
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 #6,807 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #6,799 | nssmd/RoboRSI | Python | ★ 99 | Compare ↗ |
| #6,799 | ZJunCher/mr-agent | Python | ★ 99 | Compare ↗ |
| #6,799 | hsj576/virtual-ai-infra-team | Python | ★ 99 | Compare ↗ |
| #6,799 | HongyeYangGT/DepthBenchCAD | Python | ★ 99 | Compare ↗ |
| #6,799 | techflag/workdsh | TypeScript | ★ 99 | Compare ↗ |
| #6,807 | Mobaia/PhySpec This Project | Python | ★ 98 | |
| #6,807 | paulcarey/relaxdb | Ruby | ★ 98 | Compare ↗ |
| #6,807 | jeremyevans/sequel_postgresql_triggers | Ruby | ★ 98 | Compare ↗ |
| #6,807 | IvenKooLab/loci | Python | ★ 98 | Compare ↗ |
| #6,807 | eldarshiraliyev/BugScanner | Python | ★ 98 | Compare ↗ |
| #6,807 | docker/sandbox-kit-spec | Go | ★ 98 | Compare ↗ |
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.
What language is PhySpec written in? +
The primary language is Python. Topics include: few-shot-learning, physics-guided-learning, spectroscopy, transformer, xrf.
Is PhySpec actively maintained? +
Yes, the last recorded push was on Sep 11, 2026 with 0 open issues being tracked.
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 #6,807 globally across all repositories tracked on GitHubRepo and #819 among Python projects.
What license is PhySpec distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
