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Steve-Mr
Home / Kotlin / EmojiFace

Steve-Mr/EmojiFace

Identify faces in an image and replace them with emojis.

Kotlin ◇ developer-tools GPL-3.0
★839STARS
⑂32FORKS
!0ISSUES
🏆#7,140GLOBAL RANK
🔥3DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

EmojiFace is EmojiFace is an open-source project written in Kotlin: Identify faces in an image and replace them with emojis..

Repository Steve-Mr/EmojiFace ↗
Primary Category developer tools
Language & Stack Kotlin
Software License GPL-3.0
Community Traction ★ 839 stars · ⑂ 32 forks · #7,140 globally
Maintenance ● Active (Last commit: Oct 17, 2026) · 0 open issues
Target Audience Developers and engineering teams building with Kotlin, seeking reliable, tested, and actively maintained tooling for production workloads.

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Momentum

+21

STARS · LAST 30 DAYS

1

PER DAY

#286

MOST-STARRED Kotlin

Window7 days30 days90 days
Stars gained+7+21+90
Per day111
Forks gained+1+3+10

EmojiFace gained 21 stars in the last 30 days, about 1 a day, and now has 839. It is about 2 years old and has averaged roughly 420 stars a year. It ranks #286 among Kotlin repositories and #7,140 across all languages on GitHubRepo.

Trending Record

EmojiFace has maintained a continuous presence across global trending indexes, peaking at #8141. Below is the 30-day activity profile:

💡 Overview

EmojiFace is an open-source project written in Kotlin: Identify faces in an image and replace them with emojis.

Engineered for speed, consistency, and developer ease, it solves common hurdles in Kotlin. 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 Kotlin 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
$ git clone https://github.com/Steve-Mr/EmojiFace.git
cd EmojiFace

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

JDK 17+, Kotlin compiler >= 1.9

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

EmojiFace coordinates its core functionality through a modular Kotlin 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 EmojiFace into Kotlin 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 GPL-3.0 license.

🚀 Getting Started

1

Install EmojiFace using your package manager: `git clone https://github.com/Steve-Mr/EmojiFace.git`

2

Initialize your project workspace or configuration file for EmojiFace.

3

Import EmojiFace into your codebase or invoke it directly from your terminal.

4

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

👍 Strengths

Active community backing with 839 GitHub stars and verified adoption.
Permissive open-source distribution under the GPL-3.0 license.
Built in Kotlin 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 Kotlin 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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A collection of samples to discuss and showcase different architectural tools and patterns for Android apps.

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👥 Who Should Use This

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

🏆 Nearby in the Rankings

Steve-Mr/EmojiFace is currently ranked #7,140 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#7,130 rushiranpise/Shizuku-Next Kotlin ★ 841 Compare ↗
#7,130 ThariqS/ai-newtab TypeScript ★ 841 Compare ↗
#7,137 sfepy/sfepy Python ★ 840 Compare ↗
#7,137 potassco/clingo C++ ★ 840 Compare ↗
#7,137 frankea/Whisky Swift ★ 840 Compare ↗
#7,140 Steve-Mr/EmojiFace This Project Kotlin ★ 839
#7,140 JakeWharton/dependency-tree-diff Kotlin ★ 839 Compare ↗
#7,140 ahujasid/camera-to-blender JavaScript ★ 839 Compare ↗
#7,143 joshaven/string_score JavaScript ★ 838 Compare ↗
#7,143 onnx/optimizer C++ ★ 838 Compare ↗
#7,143 NationalGalleryOfArt/opendata Python ★ 838 Compare ↗
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Frequently Asked Questions

What does EmojiFace do? +

Identify faces in an image and replace them with emojis.

What language is EmojiFace written in? +

The primary language is Kotlin. Topics include: software.

Is EmojiFace actively maintained? +

Yes, the last recorded push was on Oct 17, 2026 with 0 open issues being tracked.

How many stars does EmojiFace have? +

EmojiFace has 839 stars and 32 forks on GitHub.

How does EmojiFace rank among GitHub repositories? +

With 839 stars, Steve-Mr/EmojiFace is ranked #7,140 globally across all repositories tracked on GitHubRepo and #286 among Kotlin projects.

What license is EmojiFace distributed under? +

The repository reports a GPL-3.0 license. Always verify the repository LICENSE file for legal terms.

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