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tom-draper
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tom-draper/api-analytics

Effortless monitoring and analytics for API frameworks.

Go ◇ actix MIT
★653STARS
⑂69FORKS
!19ISSUES
🏆#7,332GLOBAL RANK
🔥3DAYS TRENDING
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Momentum

+16

STARS · LAST 30 DAYS

1

PER DAY

#809

MOST-STARRED Go

Window7 days30 days90 days
Stars gained+7+16+90
Per day111
Forks gained+1+3+10

api-analytics gained 16 stars in the last 30 days, about 1 a day, and now has 653. It is about 4 years old and has averaged roughly 163 stars a year. It ranks #809 among Go repositories and #7,332 across all languages on GitHubRepo.

Trending Record

api-analytics has maintained a continuous presence across global trending indexes, peaking at #7729. Below is the 30-day activity profile:

💡 Overview

api-analytics is an open-source project written in Go: Effortless monitoring and analytics for API frameworks.

Engineered for speed, consistency, and developer ease, it solves common hurdles in actix, analytics, api. 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 Go 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
$ go install github.com/tom-draper/api-analytics@latest

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Go >= 1.21 runtime environment

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

api-analytics coordinates its core functionality through a modular Go 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 api-analytics into Go 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 MIT license.

🚀 Getting Started

1

Install api-analytics using your package manager: `go install github.com/tom-draper/api-analytics@latest`

2

Initialize your project workspace or configuration file for api-analytics.

3

Import api-analytics into your codebase or invoke it directly from your terminal.

4

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

👍 Strengths

Active community backing with 653 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Go 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 Go 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 Go, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

tom-draper/api-analytics is currently ranked #7,332 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#7,324 ViaVersion/ViaProxy Java ★ 654 Compare ↗
#7,324 free-explorers/veshell Dart ★ 654 Compare ↗
#7,324 genomoncology/biomcp Rust ★ 654 Compare ↗
#7,324 momenbasel/Phosphor Swift ★ 654 Compare ↗
#7,324 iAmCorey/kooky Swift ★ 654 Compare ↗
#7,332 tom-draper/api-analytics This Project Go ★ 653
#7,332 dmendel/bindata Ruby ★ 653 Compare ↗
#7,332 sitespeedio/browsertime JavaScript ★ 653 Compare ↗
#7,332 MscrmTools/XrmToolBox C# ★ 653 Compare ↗
#7,332 uxlfoundation/oneDAL C++ ★ 653 Compare ↗
#7,332 kirill-grouchnikov/aurora Kotlin ★ 653 Compare ↗
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Frequently Asked Questions

What does api-analytics do? +

Effortless monitoring and analytics for API frameworks.

What language is api-analytics written in? +

The primary language is Go. Topics include: actix, analytics, api, api-analytics, api-monitoring.

Is api-analytics actively maintained? +

Yes, the last recorded push was on Oct 13, 2026 with 19 open issues being tracked.

How many stars does api-analytics have? +

api-analytics has 653 stars and 69 forks on GitHub.

How does api-analytics rank among GitHub repositories? +

With 653 stars, tom-draper/api-analytics is ranked #7,332 globally across all repositories tracked on GitHubRepo and #809 among Go projects.

What license is api-analytics distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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