deepjavalibrary/djl-serving
A universal scalable machine learning model deployment solution
⚡ Executive Summary & Quick Facts
Authoritative Sourcedjl-serving is djl-serving is an open-source project written in Java: A universal scalable machine learning model deployment solution..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), deepjavalibrary/djl-serving has accumulated 257 GitHub stars and 100 forks. It is written in Java, licensed under Apache-2.0, and ranks #17,149 globally. It is actively maintained with the latest commit recorded on Nov 10, 2026.”
| Repository | deepjavalibrary/djl-serving ↗ |
|---|---|
| Primary Category | deep learning |
| Language & Stack | Java |
| Software License | Apache-2.0 |
| Community Traction | ★ 257 stars · ⑂ 100 forks · #17,149 globally |
| Maintenance | ● Active (Last commit: Nov 10, 2026) · 14 open issues |
| Target Audience | Developers and engineering teams building with Java, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 93/100 · Grade A+Yes, djl-serving is actively maintained. Continuous telemetry recorded the last code commit on Nov 10, 2026 (2 days ago). Supported by 257 stars and 100 community forks, this repository holds a calculated health index of 93/100, reflecting very active (commits within last 14 days) and healthy issue cadence.
Star History
Add Live Star History & Verified Badges to README.md
Keep your repository README looking professional and dynamic. As our continuous crawler records new stars, these official SVG badges update in real time with zero maintenance.
Renders your high-resolution star trajectory chart right inside your GitHub README or project docs.
[](https://githubrepo.cloud/repo/deepjavalibrary/djl-serving?utm_source=readme_chart)Compact badges for your README header. Real-time stars, velocity, health audit, and rank.
[](https://githubrepo.cloud/repo/deepjavalibrary/djl-serving?utm_source=readme_badge) [](https://githubrepo.cloud/repo/deepjavalibrary/djl-serving?utm_source=readme_badge) [](https://githubrepo.cloud/repo/deepjavalibrary/djl-serving?utm_source=readme_badge) [](https://githubrepo.cloud/repo/deepjavalibrary/djl-serving?utm_source=readme_badge) [](https://githubrepo.cloud/repo/deepjavalibrary/djl-serving?utm_source=readme_badge)Momentum
+10
STARS · LAST 30 DAYS
1
PER DAY
#1,241
MOST-STARRED Java
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +1 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
djl-serving gained 10 stars in the last 30 days, about 1 a day, and now has 257. It is about 5 years old and has averaged roughly 51 stars a year. It ranks #1,241 among Java repositories and #17,149 across all languages on GitHubRepo.
Trending Record
8
DAYS ON TRENDING
#15888
BEST RANK
Nov 2, 2026
FIRST APPEARANCE
Active
STATUS TODAY
djl-serving has maintained a continuous presence across global trending indexes, peaking at #15888. Below is the 30-day activity profile:
💡 Overview
djl-serving is an open-source project written in Java: A universal scalable machine learning model deployment solution.
Engineered for speed, consistency, and developer ease, it solves common hurdles in deep-learning, deployment, djl. 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/deepjavalibrary/djl-serving.git
cd djl-serving⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
JDK 17 or higher (OpenJDK / GraalVM)
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
djl-serving 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 djl-serving 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 Apache-2.0 license.
🚀 Getting Started
Install djl-serving using your package manager: `git clone https://github.com/deepjavalibrary/djl-serving.git`
Initialize your project workspace or configuration file for djl-serving.
Import djl-serving into your codebase or invoke it directly from your terminal.
Execute your test suite or run `djl-serving --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
deepjavalibrary/djl-serving is currently ranked #17,149 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #17,114 | keytyapp/Keyty | Swift | ★ 258 | Compare ↗ |
| #17,114 | sybil-solutions/local-ai-registry | HTML | ★ 258 | Compare ↗ |
| #17,114 | flowhmr/flowhmr | Python | ★ 258 | Compare ↗ |
| #17,114 | sylvieistaken/selevet-eglantine | C++ | ★ 258 | Compare ↗ |
| #17,114 | Balanov/uncut | Go | ★ 258 | Compare ↗ |
| #17,149 | deepjavalibrary/djl-serving This Project | Java | ★ 257 | |
| #17,149 | mephistorb/mephisto | Ruby | ★ 257 | Compare ↗ |
| #17,149 | simos/keyboardlayouteditor | Python | ★ 257 | Compare ↗ |
| #17,149 | httpdss/collectd-web | Perl | ★ 257 | Compare ↗ |
| #17,149 | willhardy/django-seo | Python | ★ 257 | Compare ↗ |
| #17,149 | segmentio/analytics-php | PHP | ★ 257 | Compare ↗ |
Frequently Asked Questions
What does djl-serving do? +
A universal scalable machine learning model deployment solution
Is djl-serving actively maintained in 2026? +
Yes, djl-serving is actively maintained. The latest code push was recorded on Nov 10, 2026 (2 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 257 stars and 14 open issues.
What language is djl-serving written in? +
The primary language is Java. Topics include: deep-learning, deployment, djl, inference, pytorch.
How many stars does djl-serving have? +
djl-serving has 257 stars and 100 forks on GitHub.
How does djl-serving rank among GitHub repositories? +
With 257 stars, deepjavalibrary/djl-serving is ranked #17,149 globally across all repositories tracked on GitHubRepo and #1,241 among Java projects.
What license is djl-serving distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
