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matteocarnelos
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matteocarnelos/microflow-rs

A robust and efficient TinyML inference engine.

Rust ◇ inference-engine Apache-2.0
★197STARS
⑂31FORKS
!9ISSUES
🏆#19,711GLOBAL RANK
🔥5DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

microflow-rs is microflow-rs is an open-source project written in Rust: A robust and efficient TinyML inference engine..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), matteocarnelos/microflow-rs has accumulated 197 GitHub stars and 31 forks. It is written in Rust, licensed under Apache-2.0, and ranks #19,711 globally. It is actively maintained with the latest commit recorded on Nov 10, 2026.”
Repository matteocarnelos/microflow-rs ↗
Primary Category inference engine
Language & Stack Rust
Software License Apache-2.0
Community Traction ★ 197 stars · ⑂ 31 forks · #19,711 globally
Maintenance ● Active (Last commit: Nov 10, 2026) · 9 open issues
Target Audience Developers and engineering teams building with Rust, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 93/100 · Grade A+
✅
Is microflow-rs actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, microflow-rs is actively maintained. Continuous telemetry recorded the last code commit on Nov 10, 2026 (3 days ago). Supported by 197 stars and 31 community forks, this repository holds a calculated health index of 93/100, reflecting very active (commits within last 14 days) and healthy issue cadence.

Commit Recency
Nov 10, 2026
3 days since last push
Issue Backlog
9 Open Issues
Healthy Issue Cadence
Community Backing
31 Forks
197 Stars Recorded
Software License
Apache-2.0
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for matteocarnelos/microflow-rs
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#1,877

MOST-STARRED Rust

Window7 days30 days90 days
Stars gained+7+10+90
Per day111
Forks gained+1+3+10

microflow-rs gained 10 stars in the last 30 days, about 1 a day, and now has 197. It is about 4 years old and has averaged roughly 49 stars a year. It ranks #1,877 among Rust repositories and #19,711 across all languages on GitHubRepo.

Trending Record

microflow-rs has maintained a continuous presence across global trending indexes, peaking at #19095. Below is the 30-day activity profile:

💡 Overview

microflow-rs is an open-source project written in Rust: A robust and efficient TinyML inference engine.

Engineered for speed, consistency, and developer ease, it solves common hurdles in inference-engine, machine-learning, rust. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Rust for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ cargo install microflow-rs

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Rust toolchain (rustc / cargo >= 1.70)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

microflow-rs coordinates its core functionality through a modular Rust 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 microflow-rs into Rust 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

1

Install microflow-rs using your package manager: `cargo install microflow-rs`

2

Initialize your project workspace or configuration file for microflow-rs.

3

Import microflow-rs into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `microflow-rs --help` to verify successful setup.

👍 Strengths

Active community backing with 197 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Rust for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Rust and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

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👥 Who Should Use This

Developers and engineering teams building with Rust, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

matteocarnelos/microflow-rs is currently ranked #19,711 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#19,668 miuuyy/Clew TypeScript ★ 198 Compare ↗
#19,668 MongLong0214/logic-pro-mcp Swift ★ 198 Compare ↗
#19,668 mcpp-community/mcpp C++ ★ 198 Compare ↗
#19,668 dji-sdk/Cloud-API-2 C++ ★ 198 Compare ↗
#19,668 getcadcraft/bimcraft JavaScript ★ 198 Compare ↗
#19,711 matteocarnelos/microflow-rs This Project Rust ★ 197
#19,711 llimllib/pymag-trees Python ★ 197 Compare ↗
#19,711 msoulier/tftpy Python ★ 197 Compare ↗
#19,711 dejan/espeak-ruby Ruby ★ 197 Compare ↗
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#19,711 andreisavu/mongodb-log Python ★ 197 Compare ↗
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Frequently Asked Questions

What does microflow-rs do? +

A robust and efficient TinyML inference engine.

Is microflow-rs actively maintained in 2026? +

Yes, microflow-rs is actively maintained. The latest code push was recorded on Nov 10, 2026 (3 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 197 stars and 9 open issues.

What language is microflow-rs written in? +

The primary language is Rust. Topics include: inference-engine, machine-learning, rust, tensorflow-lite, tinyml.

How many stars does microflow-rs have? +

microflow-rs has 197 stars and 31 forks on GitHub.

How does microflow-rs rank among GitHub repositories? +

With 197 stars, matteocarnelos/microflow-rs is ranked #19,711 globally across all repositories tracked on GitHubRepo and #1,877 among Rust projects.

What license is microflow-rs distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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