datafaker-net/datafaker
Generating fake data for the JVM (Java, Kotlin, Groovy) has never been easier!
⚡ Executive Summary & Quick Facts
Authoritative Sourcedatafaker is datafaker is an open-source project written in Java: Generating fake data for the JVM (Java, Kotlin, Groovy) has never been easier!..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), datafaker-net/datafaker has accumulated 1,807 GitHub stars and 248 forks. It is written in Java, licensed under Apache-2.0, and ranks #6,041 globally. It is actively maintained with the latest commit recorded on Oct 26, 2026.”
| Repository | datafaker-net/datafaker ↗ |
|---|---|
| Primary Category | faker |
| Language & Stack | Java |
| Software License | Apache-2.0 |
| Community Traction | ★ 1.8K stars · ⑂ 248 forks · #6,041 globally |
| Maintenance | ● Active (Last commit: Oct 26, 2026) · 12 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: 92/100 · Grade AYes, datafaker is actively maintained. Continuous telemetry recorded the last code commit on Oct 26, 2026 (18 days ago). Supported by 1,807 stars and 248 community forks, this repository holds a calculated health index of 92/100, reflecting regular maintenance (18 days ago) 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/datafaker-net/datafaker?utm_source=readme_chart)
Compact badges for your README header. Real-time stars, velocity, health audit, and rank.
[](https://githubrepo.cloud/repo/datafaker-net/datafaker?utm_source=readme_badge) [](https://githubrepo.cloud/repo/datafaker-net/datafaker?utm_source=readme_badge) [](https://githubrepo.cloud/repo/datafaker-net/datafaker?utm_source=readme_badge) [](https://githubrepo.cloud/repo/datafaker-net/datafaker?utm_source=readme_badge) [](https://githubrepo.cloud/repo/datafaker-net/datafaker?utm_source=readme_badge)
Momentum
+8
STARS · LAST 30 DAYS
1
PER DAY
#405
MOST-STARRED Java
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +8 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +6 | +12 |
datafaker gained 8 stars in the last 30 days, about 1 a day, and now has 1.8K. It is about 5 years old and has averaged roughly 361 stars a year. It ranks #405 among Java repositories and #6,041 across all languages on GitHubRepo.
Trending Record
44
DAYS ON TRENDING
#1787
BEST RANK
Sep 26, 2026
FIRST APPEARANCE
Active
STATUS TODAY
datafaker has maintained a continuous presence across global trending indexes, peaking at #1787. Below is the 30-day activity profile:
💡 Overview
datafaker is an open-source project written in Java: Generating fake data for the JVM (Java, Kotlin, Groovy) has never been easier!.
Engineered for speed, consistency, and developer ease, it solves common hurdles in faker, testing. 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/datafaker-net/datafaker.git
cd datafaker
⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
JDK 17 or higher (OpenJDK / GraalVM)
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
datafaker 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 datafaker 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 datafaker using your package manager: `git clone https://github.com/datafaker-net/datafaker.git`
Initialize your project workspace or configuration file for datafaker.
Import datafaker into your codebase or invoke it directly from your terminal.
Execute your test suite or run `datafaker --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
datafaker-net/datafaker is currently ranked #6,041 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #6,036 | awslabs/open-data-registry | Python | ★ 1.8K | Compare ↗ |
| #6,037 | protonemedia/laravel-ffmpeg | PHP | ★ 1.8K | Compare ↗ |
| #6,037 | lmstudio-ai/lmstudio-js | TypeScript | ★ 1.8K | Compare ↗ |
| #6,037 | kenn-io/roborev | Go | ★ 1.8K | Compare ↗ |
| #6,040 | gofrs/uuid | Go | ★ 1.8K | Compare ↗ |
| #6,041 | datafaker-net/datafaker This Project | Java | ★ 1.8K | |
| #6,041 | Planetable/Planet | Swift | ★ 1.8K | Compare ↗ |
| #6,041 | relaticle/relaticle | PHP | ★ 1.8K | Compare ↗ |
| #6,044 | sublimelsp/LSP | Python | ★ 1.8K | Compare ↗ |
| #6,044 | herdrdev/herdr-app | Rust | ★ 1.8K | Compare ↗ |
| #6,046 | acaudwell/Logstalgia | C++ | ★ 1.8K | Compare ↗ |
Frequently Asked Questions
What does datafaker do? +
Generating fake data for the JVM (Java, Kotlin, Groovy) has never been easier!
Is datafaker actively maintained in 2026? +
Yes, datafaker is actively maintained. The latest code push was recorded on Oct 26, 2026 (18 days ago). It holds a calculated Maintenance Health Score of 92/100 (A rating) with 1,807 stars and 12 open issues.
What language is datafaker written in? +
The primary language is Java. Topics include: faker, testing.
How many stars does datafaker have? +
datafaker has 1,807 stars and 248 forks on GitHub.
How does datafaker rank among GitHub repositories? +
With 1,807 stars, datafaker-net/datafaker is ranked #6,041 globally across all repositories tracked on GitHubRepo and #405 among Java projects.
What license is datafaker distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.