mindspore-ai/hyper-parallel
A SuperPod-Affinity Training Acceleration Framework.
⚡ Executive Summary & Quick Facts
Authoritative Sourcehyper-parallel is hyper-parallel is an open-source project written in Python: A SuperPod-Affinity Training Acceleration Framework..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), mindspore-ai/hyper-parallel has accumulated 117 GitHub stars and 97 forks. It is written in Python, licensed under Apache-2.0, and ranks #24,700 globally. It is actively maintained with the latest commit recorded on Nov 9, 2026.”
| Repository | mindspore-ai/hyper-parallel ↗ |
|---|---|
| Primary Category | ai infrastructure |
| Language & Stack | Python |
| Software License | Apache-2.0 |
| Community Traction | ★ 117 stars · ⑂ 97 forks · #24,700 globally |
| Maintenance | ● Active (Last commit: Nov 9, 2026) · 659 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 AYes, hyper-parallel is actively maintained. Continuous telemetry recorded the last code commit on Nov 9, 2026 (4 days ago). Supported by 117 stars and 97 community forks, this repository holds a calculated health index of 88/100, reflecting very active (commits within last 14 days) and active community feedback (659 open).
Star History
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+10
STARS · LAST 30 DAYS
1
PER DAY
#3,429
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +1 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +2 | +3 | +10 |
hyper-parallel gained 10 stars in the last 30 days, about 1 a day, and now has 117. It is about 1 year old and has averaged roughly 117 stars a year. It ranks #3,429 among Python repositories and #24,700 across all languages on GitHubRepo.
Trending Record
9
DAYS ON TRENDING
#20067
BEST RANK
Nov 1, 2026
FIRST APPEARANCE
Active
STATUS TODAY
hyper-parallel has maintained a continuous presence across global trending indexes, peaking at #20067. Below is the 30-day activity profile:
💡 Overview
hyper-parallel is an open-source project written in Python: A SuperPod-Affinity Training Acceleration Framework.
Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-infrastructure, distributed-training, llm. 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 hyper-parallel⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
hyper-parallel 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
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with hyper-parallel.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install hyper-parallel using your package manager: `pip install hyper-parallel`
Initialize your project workspace or configuration file for hyper-parallel.
Import hyper-parallel into your codebase or invoke it directly from your terminal.
Execute your test suite or run `hyper-parallel --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
mindspore-ai/hyper-parallel is currently ranked #24,700 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #24,618 | sucikhairida/MedianNidhogg | JavaScript | ★ 118 | Compare ↗ |
| #24,618 | stephanes-dev/ModelElohim | JavaScript | ★ 118 | Compare ↗ |
| #24,618 | Chenkin-x/ComfyUI-Moss-Image-Edit | Python | ★ 118 | Compare ↗ |
| #24,618 | sdua078/TeleoPro | Python | ★ 118 | Compare ↗ |
| #24,618 | stevejiang0509/ex3301-t0-root-ssh-research | JavaScript | ★ 118 | Compare ↗ |
| #24,700 | mindspore-ai/hyper-parallel This Project | Python | ★ 117 | |
| #24,700 | apache/jspwiki | Java | ★ 117 | Compare ↗ |
| #24,700 | schani/metapixel | C | ★ 117 | Compare ↗ |
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Frequently Asked Questions
What does hyper-parallel do? +
A SuperPod-Affinity Training Acceleration Framework.
Is hyper-parallel actively maintained in 2026? +
Yes, hyper-parallel is actively maintained. The latest code push was recorded on Nov 9, 2026 (4 days ago). It holds a calculated Maintenance Health Score of 88/100 (A rating) with 117 stars and 659 open issues.
What language is hyper-parallel written in? +
The primary language is Python. Topics include: ai-infrastructure, distributed-training, llm, omni, pytorch.
How many stars does hyper-parallel have? +
hyper-parallel has 117 stars and 97 forks on GitHub.
How does hyper-parallel rank among GitHub repositories? +
With 117 stars, mindspore-ai/hyper-parallel is ranked #24,700 globally across all repositories tracked on GitHubRepo and #3,429 among Python projects.
What license is hyper-parallel distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
