Scala library for tracking runtime metrics. Use it to keep track of latency, events, exception counts, etc.
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/stevej/scala-stats?utm_source=readme_chart)Compact Shields-style badges for your README header. Shows real-time stars and global ranking.
[](https://githubrepo.cloud/repo/stevej/scala-stats?utm_source=readme_badge) [](https://githubrepo.cloud/repo/stevej/scala-stats?utm_source=readme_badge) [](https://githubrepo.cloud/repo/stevej/scala-stats?utm_source=readme_badge)Momentum
+10
STARS · LAST 30 DAYS
1
PER DAY
#22
MOST-STARRED Scala
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +3 | +10 |
scala-stats gained 10 stars in the last 30 days, about 1 a day, and now has 39. It is about 18 years old and has averaged roughly 2 stars a year. It ranks #22 among Scala repositories and #14,524 across all languages on GitHubRepo.
Trending Record
9
DAYS ON TRENDING
#7276
BEST RANK
Sep 28, 2026
FIRST APPEARANCE
Active
STATUS TODAY
scala-stats has maintained a continuous presence across global trending indexes, peaking at #7276. Below is the 30-day activity profile:
💡 Overview
scala-stats is an open-source project written in Scala: Scala library for tracking runtime metrics. Use it to keep track of latency, events, exception counts, etc.
Engineered for speed, consistency, and developer ease, it solves common hurdles in Scala. 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 Scala 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/stevej/scala-stats.git
cd scala-stats⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Scala environment and standard tooling
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
scala-stats coordinates its core functionality through a modular Scala 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 scala-stats into Scala 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 scala-stats using your package manager: `git clone https://github.com/stevej/scala-stats.git`
Initialize your project workspace or configuration file for scala-stats.
Import scala-stats into your codebase or invoke it directly from your terminal.
Execute your test suite or run `scala-stats --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Scala, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
stevej/scala-stats is currently ranked #14,524 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #14,485 | radiant/radiant-page-attachments-extension | Ruby | ★ 40 | Compare ↗ |
| #14,485 | rails/upload_progress | Ruby | ★ 40 | Compare ↗ |
| #14,485 | jcfischer/make_resourceful | Ruby | ★ 40 | Compare ↗ |
| #14,485 | defunkt/gibberish | Ruby | ★ 40 | Compare ↗ |
| #14,485 | securekomodo/codeshot | Go | ★ 40 | Compare ↗ |
| #14,524 | stevej/scala-stats This Project | Scala | ★ 39 | |
| #14,524 | hackdiaz-dev/turn-proxy-android | Kotlin | ★ 39 | Compare ↗ |
| #14,524 | FedeFluork/multistore | Kotlin | ★ 39 | Compare ↗ |
| #14,524 | jnewland/fireeagle | Ruby | ★ 39 | Compare ↗ |
| #14,524 | dwillis/fumblerooski | Python | ★ 39 | Compare ↗ |
| #14,524 | sco/fakebook | JavaScript | ★ 39 | Compare ↗ |
Frequently Asked Questions
What does scala-stats do? +
Scala library for tracking runtime metrics. Use it to keep track of latency, events, exception counts, etc.
What language is scala-stats written in? +
The primary language is Scala. Topics include: software.
Is scala-stats actively maintained? +
Yes, the last recorded push was on Jan 14, 2010 with 1 open issues being tracked.
How many stars does scala-stats have? +
scala-stats has 39 stars and 4 forks on GitHub.
How does scala-stats rank among GitHub repositories? +
With 39 stars, stevej/scala-stats is ranked #14,524 globally across all repositories tracked on GitHubRepo and #22 among Scala projects.
What license is scala-stats distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
