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nicolastakashi/prom-analytics-proxy

prom-analytics-proxy is a lightweight proxy that captures detailed analytics on PromQL queries, providing valuable insights into query usage and performance.

Go ◇ analytics Apache-2.0
★154STARS
⑂20FORKS
!31ISSUES
🏆#21,715GLOBAL RANK
🔥27DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

prom-analytics-proxy is prom-analytics-proxy is an open-source project written in Go: prom-analytics-proxy is a lightweight proxy that captures detailed analytics on PromQL queries, providing valuable insights into query usage and performance..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), nicolastakashi/prom-analytics-proxy has accumulated 154 GitHub stars and 20 forks. It is written in Go, licensed under Apache-2.0, and ranks #21,715 globally. It is actively maintained with the latest commit recorded on Oct 17, 2026.”
Repository nicolastakashi/prom-analytics-proxy ↗
Primary Category analytics
Language & Stack Go
Software License Apache-2.0
Community Traction ★ 154 stars · ⑂ 20 forks · #21,715 globally
Maintenance ● Active (Last commit: Oct 17, 2026) · 31 open issues
Target Audience Developers and engineering teams building with Go, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 88/100 · Grade A
✅
Is prom-analytics-proxy actively maintained in 2026?
Verdict: Actively Maintained

Yes, prom-analytics-proxy is actively maintained. Continuous telemetry recorded the last code commit on Oct 17, 2026 (26 days ago). Supported by 154 stars and 20 community forks, this repository holds a calculated health index of 88/100, reflecting regular maintenance (26 days ago) and healthy issue cadence.

Commit Recency
Oct 17, 2026
26 days since last push
Issue Backlog
31 Open Issues
Healthy Issue Cadence
Community Backing
20 Forks
154 Stars Recorded
Software License
Apache-2.0
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for nicolastakashi/prom-analytics-proxy
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Momentum

+0

STARS · LAST 30 DAYS

1

PER DAY

#2,291

MOST-STARRED Go

Window7 days30 days90 days
Stars gained+0+0+90
Per day111
Forks gained+0+0+10

prom-analytics-proxy gained 0 stars in the last 30 days, about 1 a day, and now has 154. It is about 2 years old and has averaged roughly 77 stars a year. It ranks #2,291 among Go repositories and #21,715 across all languages on GitHubRepo.

Trending Record

prom-analytics-proxy has maintained a continuous presence across global trending indexes, peaking at #12225. Below is the 30-day activity profile:

💡 Overview

prom-analytics-proxy is an open-source project written in Go: prom-analytics-proxy is a lightweight proxy that captures detailed analytics on PromQL queries, providing valuable insights into query usage and performance.

Engineered for speed, consistency, and developer ease, it solves common hurdles in analytics, prometheus, promql. 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/nicolastakashi/prom-analytics-proxy@latest

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Go >= 1.21 runtime environment

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

prom-analytics-proxy 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 prom-analytics-proxy 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 Apache-2.0 license.

🚀 Getting Started

1

Install prom-analytics-proxy using your package manager: `go install github.com/nicolastakashi/prom-analytics-proxy@latest`

2

Initialize your project workspace or configuration file for prom-analytics-proxy.

3

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

4

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

👍 Strengths

Active community backing with 154 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 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

nicolastakashi/prom-analytics-proxy is currently ranked #21,715 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#21,643 MakrSas/Inferno-iOS Swift ★ 155 Compare ↗
#21,643 DingoOz/llm-visuals Rust ★ 155 Compare ↗
#21,643 Yharnam-Hunters/Paleblood Python ★ 155 Compare ↗
#21,643 WatermelonCorp/watermelon-platform TypeScript ★ 155 Compare ↗
#21,643 velkajelka/linux-native-ableton C++ ★ 155 Compare ↗
#21,715 nicolastakashi/prom-analytics-proxy This Project Go ★ 154
#21,715 djmuhlestein/fx2lib C ★ 154 Compare ↗
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#21,715 notanumber/xapian-haystack Python ★ 154 Compare ↗
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Frequently Asked Questions

What does prom-analytics-proxy do? +

prom-analytics-proxy is a lightweight proxy that captures detailed analytics on PromQL queries, providing valuable insights into query usage and performance.

Is prom-analytics-proxy actively maintained in 2026? +

Yes, prom-analytics-proxy is actively maintained. The latest code push was recorded on Oct 17, 2026 (26 days ago). It holds a calculated Maintenance Health Score of 88/100 (A rating) with 154 stars and 31 open issues.

What language is prom-analytics-proxy written in? +

The primary language is Go. Topics include: analytics, prometheus, promql, proxy.

How many stars does prom-analytics-proxy have? +

prom-analytics-proxy has 154 stars and 20 forks on GitHub.

How does prom-analytics-proxy rank among GitHub repositories? +

With 154 stars, nicolastakashi/prom-analytics-proxy is ranked #21,715 globally across all repositories tracked on GitHubRepo and #2,291 among Go projects.

What license is prom-analytics-proxy distributed under? +

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

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