Video content understanding and creation workspace.
⚡ Executive Summary & Quick Facts
Authoritative SourceDOVideo-AI is DOVideo-AI is an open-source project written in Java: Video content understanding and creation workspace..
| Repository | SupexVoid/DOVideo-AI ↗ |
|---|---|
| Primary Category | developer tools |
| Language & Stack | Java |
| Software License | MIT |
| Community Traction | ★ 19 stars · ⑂ 0 forks · #25,400 globally |
| Maintenance | ● Active (Last commit: Oct 21, 2026) · 0 open issues |
| Target Audience | Developers and engineering teams building with Java, seeking reliable, tested, and actively maintained tooling for production workloads. |
Star History
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+10
STARS · LAST 30 DAYS
1
PER DAY
#1,799
MOST-STARRED Java
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
DOVideo-AI gained 10 stars in the last 30 days, about 1 a day, and now has 19. It is about 1 year old and has averaged roughly 19 stars a year. It ranks #1,799 among Java repositories and #25,400 across all languages on GitHubRepo.
Trending Record
3
DAYS ON TRENDING
#23335
BEST RANK
Oct 26, 2026
FIRST APPEARANCE
Active
STATUS TODAY
DOVideo-AI has maintained a continuous presence across global trending indexes, peaking at #23335. Below is the 30-day activity profile:
💡 Overview
DOVideo-AI is an open-source project written in Java: Video content understanding and creation workspace.
Engineered for speed, consistency, and developer ease, it solves common hurdles in Java. 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 Java 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
$ git clone https://github.com/SupexVoid/DOVideo-AI.git
cd DOVideo-AI⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
JDK 17 or higher (OpenJDK / GraalVM)
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
DOVideo-AI coordinates its core functionality through a modular Java 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 DOVideo-AI into Java 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 MIT license.
🚀 Getting Started
Install DOVideo-AI using your package manager: `git clone https://github.com/SupexVoid/DOVideo-AI.git`
Initialize your project workspace or configuration file for DOVideo-AI.
Import DOVideo-AI into your codebase or invoke it directly from your terminal.
Execute your test suite or run `DOVideo-AI --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Java, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
SupexVoid/DOVideo-AI is currently ranked #25,400 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #25,254 | neon-sunset/dotheap | Rust | ★ 20 | Compare ↗ |
| #25,254 | AuroraWright/knife | Rust | ★ 20 | Compare ↗ |
| #25,254 | puchito22/steamcraft-multiplayer | Java | ★ 20 | Compare ↗ |
| #25,254 | itshedimisawi/vitro | Kotlin | ★ 20 | Compare ↗ |
| #25,254 | physicsdolphin/nv-uefi-unlocker | Rust | ★ 20 | Compare ↗ |
| #25,400 | SupexVoid/DOVideo-AI This Project | Java | ★ 19 | |
| #25,400 | mojombo/fixture-scenarios | Ruby | ★ 19 | Compare ↗ |
| #25,400 | mattfoster/gnuplot-tmbundle | Ruby | ★ 19 | Compare ↗ |
| #25,400 | tenderlove/icanhasaudio | C | ★ 19 | Compare ↗ |
| #25,400 | bart9h/cave9 | C | ★ 19 | Compare ↗ |
| #25,400 | relevance/multi_rails | Ruby | ★ 19 | Compare ↗ |
Frequently Asked Questions
What does DOVideo-AI do? +
Video content understanding and creation workspace.
What language is DOVideo-AI written in? +
The primary language is Java. Topics include: software.
Is DOVideo-AI actively maintained? +
Yes, the last recorded push was on Oct 21, 2026 with 0 open issues being tracked.
How many stars does DOVideo-AI have? +
DOVideo-AI has 19 stars and 0 forks on GitHub.
How does DOVideo-AI rank among GitHub repositories? +
With 19 stars, SupexVoid/DOVideo-AI is ranked #25,400 globally across all repositories tracked on GitHubRepo and #1,799 among Java projects.
What license is DOVideo-AI distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
