tensorflow/tflite-micro
Infrastructure to enable deployment of ML models to low-power resource-constrained embedded targets (including microcontrollers and digital signal processors).
⚡ Executive Summary & Quick Facts
Authoritative Sourcetflite-micro is tflite-micro is an open-source project written in C++: Infrastructure to enable deployment of ML models to low-power resource-constrained embedded targets (including microcontrollers and digital signal processors)..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), tensorflow/tflite-micro has accumulated 3,134 GitHub stars and 1,092 forks. It is written in C++, licensed under Apache-2.0, and ranks #4,211 globally. It is actively maintained with the latest commit recorded on Oct 28, 2026.”
| Repository | tensorflow/tflite-micro ↗ |
|---|---|
| Primary Category | developer tools |
| Language & Stack | C++ |
| Software License | Apache-2.0 |
| Community Traction | ★ 3.1K stars · ⑂ 1.1K forks · #4,211 globally |
| Maintenance | ● Active (Last commit: Oct 28, 2026) · 65 open issues |
| Target Audience | Developers and engineering teams building with C++, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 95/100 · Grade A+Yes, tflite-micro is actively maintained. Continuous telemetry recorded the last code commit on Oct 28, 2026 (16 days ago). Supported by 3,134 stars and 1,092 community forks, this repository holds a calculated health index of 95/100, reflecting regular maintenance (16 days ago) and healthy issue cadence.
Star History
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+20
STARS · LAST 30 DAYS
1
PER DAY
#303
MOST-STARRED C++
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +20 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +9 | +55 |
tflite-micro gained 20 stars in the last 30 days, about 1 a day, and now has 3.1K. It is about 6 years old and has averaged roughly 522 stars a year. It ranks #303 among C++ repositories and #4,211 across all languages on GitHubRepo.
Trending Record
44
DAYS ON TRENDING
#1168
BEST RANK
Sep 25, 2026
FIRST APPEARANCE
Active
STATUS TODAY
tflite-micro has maintained a continuous presence across global trending indexes, peaking at #1168. Below is the 30-day activity profile:
💡 Overview
tflite-micro is an open-source project written in C++: Infrastructure to enable deployment of ML models to low-power resource-constrained embedded targets (including microcontrollers and digital signal processors).
Engineered for speed, consistency, and developer ease, it solves common hurdles in C++. 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/tflite-micro.git
cd tflite-micro⚙ 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
tflite-micro 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 tflite-micro 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 tflite-micro using your package manager: `git clone https://github.com/tensorflow/tflite-micro.git`
Initialize your project workspace or configuration file for tflite-micro.
Import tflite-micro into your codebase or invoke it directly from your terminal.
Execute your test suite or run `tflite-micro --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/tflite-micro is currently ranked #4,211 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
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Frequently Asked Questions
What does tflite-micro do? +
Infrastructure to enable deployment of ML models to low-power resource-constrained embedded targets (including microcontrollers and digital signal processors).
Is tflite-micro actively maintained in 2026? +
Yes, tflite-micro is actively maintained. The latest code push was recorded on Oct 28, 2026 (16 days ago). It holds a calculated Maintenance Health Score of 95/100 (A+ rating) with 3,134 stars and 65 open issues.
What language is tflite-micro written in? +
The primary language is C++. Topics include: software.
How many stars does tflite-micro have? +
tflite-micro has 3,134 stars and 1,092 forks on GitHub.
How does tflite-micro rank among GitHub repositories? +
With 3,134 stars, tensorflow/tflite-micro is ranked #4,211 globally across all repositories tracked on GitHubRepo and #303 among C++ projects.
What license is tflite-micro distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
