tensorflow/serving
A flexible, high-performance serving system for machine learning models
Star History
Momentum
+159
STARS · LAST 30 DAYS
5
PER DAY
#52
MOST-STARRED C++
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +35 | +159 | +450 |
| Per day | 5 | 5 | 5 |
| Forks gained | +11 | +44 | +110 |
serving gained 159 stars in the last 30 days, about 5 a day, and now has 6.4K. It is about 11 years old and has averaged roughly 579 stars a year. It ranks #52 among C++ repositories and #925 across all languages on GitHubRepo.
Trending Record
4
DAYS ON TRENDING
#926
BEST RANK
Sep 25, 2026
FIRST APPEARANCE
Active
STATUS TODAY
serving has maintained a continuous presence across global trending indexes, peaking at #926. Below is the 30-day activity profile:
💡 Overview
serving is an open-source project written in C++: A flexible, high-performance serving system for machine learning models.
Engineered for speed, consistency, and developer ease, it solves common hurdles in cpp, deep-learning, deep-neural-networks. 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 C++ 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/tensorflow/serving.git
cd serving
⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
C++20 compliant compiler (GCC 11+, Clang 13+, MSVC)
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
serving coordinates its core functionality through a modular C++ 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 serving into C++ 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 serving using your package manager: `git clone https://github.com/tensorflow/serving.git`
Initialize your project workspace or configuration file for serving.
Import serving into your codebase or invoke it directly from your terminal.
Execute your test suite or run `serving --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with C++, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
tensorflow/serving is currently ranked #925 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #920 | hanami/hanami | Ruby | ★ 6.4K | Compare ↗ |
| #921 | apache/iotdb | Java | ★ 6.4K | Compare ↗ |
| #922 | AsyncHttpClient/async-http-client | Java | ★ 6.4K | Compare ↗ |
| #923 | glpi-project/glpi | PHP | ★ 6.4K | Compare ↗ |
| #924 | argmaxinc/argmax-oss-swift | Swift | ★ 6.4K | Compare ↗ |
| #925 | tensorflow/serving This Project | C++ | ★ 6.4K | |
| #926 | apple/swift-algorithms | Swift | ★ 6.3K | Compare ↗ |
| #927 | sanity-io/sanity | TypeScript | ★ 6.3K | Compare ↗ |
| #928 | google/syzkaller | Go | ★ 6.3K | Compare ↗ |
| #929 | microsoft/aspire | C# | ★ 6.3K | Compare ↗ |
| #930 | Human-Agent-Society/reef | Python | ★ 6.3K | Compare ↗ |
Frequently Asked Questions
What does serving do? +
A flexible, high-performance serving system for machine learning models
What language is serving written in? +
The primary language is C++. Topics include: cpp, deep-learning, deep-neural-networks, machine-learning, ml.
Is serving actively maintained? +
Yes, the last recorded push was on Sep 26, 2026 with 80 open issues being tracked.
How many stars does serving have? +
serving has 6,364 stars and 2,206 forks on GitHub.
How does serving rank among GitHub repositories? +
With 6,364 stars, tensorflow/serving is ranked #925 globally across all repositories tracked on GitHubRepo and #52 among C++ projects.
What license is serving distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.