ByteDance-Seed/VeOmni
VeOmni: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo
⚡ Executive Summary & Quick Facts
Authoritative SourceVeOmni is VeOmni is an open-source project written in Python: VeOmni: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), ByteDance-Seed/VeOmni has accumulated 2,265 GitHub stars and 304 forks. It is written in Python, licensed under Apache-2.0, and ranks #4,644 globally. It is actively maintained with the latest commit recorded on Oct 26, 2026.”
| Repository | ByteDance-Seed/VeOmni ↗ |
|---|---|
| Primary Category | developer tools |
| Language & Stack | Python |
| Software License | Apache-2.0 |
| Community Traction | ★ 2.3K stars · ⑂ 304 forks · #4,644 globally |
| Maintenance | ● Active (Last commit: Oct 26, 2026) · 249 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: 97/100 · Grade A+Yes, VeOmni is actively maintained. Continuous telemetry recorded the last code commit on Oct 26, 2026 (7 days ago). Supported by 2,265 stars and 304 community forks, this repository holds a calculated health index of 97/100, reflecting very active (commits within last 14 days) and healthy issue cadence.
Star History
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+57
STARS · LAST 30 DAYS
2
PER DAY
#660
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +57 | +180 |
| Per day | 1 | 2 | 2 |
| Forks gained | +0 | +6 | +15 |
VeOmni gained 57 stars in the last 30 days, about 2 a day, and now has 2.3K. It is about 2 years old and has averaged roughly 1.1K stars a year. It ranks #660 among Python repositories and #4,644 across all languages on GitHubRepo.
Trending Record
10
DAYS ON TRENDING
#4591
BEST RANK
Oct 23, 2026
FIRST APPEARANCE
Active
STATUS TODAY
VeOmni has maintained a continuous presence across global trending indexes, peaking at #4591. Below is the 30-day activity profile:
💡 Overview
VeOmni is an open-source project written in Python: VeOmni: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo.
Engineered for speed, consistency, and developer ease, it solves common hurdles in Python. 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 VeOmni⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
VeOmni 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 VeOmni 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 Apache-2.0 license.
🚀 Getting Started
Install VeOmni using your package manager: `pip install VeOmni`
Initialize your project workspace or configuration file for VeOmni.
Import VeOmni into your codebase or invoke it directly from your terminal.
Execute your test suite or run `VeOmni --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
ByteDance-Seed/VeOmni is currently ranked #4,644 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
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|---|---|---|---|---|
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Frequently Asked Questions
What does VeOmni do? +
VeOmni: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo
Is VeOmni actively maintained in 2026? +
Yes, VeOmni is actively maintained. The latest code push was recorded on Oct 26, 2026 (7 days ago). It holds a calculated Maintenance Health Score of 97/100 (A+ rating) with 2,265 stars and 249 open issues.
What language is VeOmni written in? +
The primary language is Python. Topics include: software.
How many stars does VeOmni have? +
VeOmni has 2,265 stars and 304 forks on GitHub.
How does VeOmni rank among GitHub repositories? +
With 2,265 stars, ByteDance-Seed/VeOmni is ranked #4,644 globally across all repositories tracked on GitHubRepo and #660 among Python projects.
What license is VeOmni distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
