dats

Minimalistic and zero-dependencies StatsD client for efficient metric tracking.

EstablishedOpen SourceLow lock-in

Pricing

Free tier

Flat rate

Adoption

Stable

License

Open Source

Data freshness

Aging · Jun 8, 2026

Overview

What is dats?

dats is a lightweight, dependency-free StatsD client designed to help developers track metrics efficiently without the overhead of complex dependencies. It's ideal for projects requiring simple yet effective monitoring solutions.

Key differentiator

dats stands out as a lightweight, zero-dependency StatsD client for Go developers who need efficient metric tracking without the overhead of additional dependencies.

Capability profile

Capability Radar

Ease of StartEcosystemValueMaturityFlexibilityScale Ready

Honest assessment

Strengths & Weaknesses

↑ Strengths

Zero dependencies for minimal overheadmedium

Simple and lightweight designmedium

Efficient metric tracking with StatsD protocolmedium

↓ Weaknesses

Limited language supporthigh

Primary language is Go, which may restrict usage for projects not using or preferring Go.

Small community and limited third-party integrationsmedium

Being a niche tool with minimal documentation and support resources can lead to difficulties in finding solutions to specific issues.

Poor documentation for advanced featureshigh

Lack of comprehensive guides or examples for complex configurations and use cases, making it hard for users to fully leverage the tool's capabilities.

Fit analysis

Who is it for?

✓ Best for

Go developers looking for a lightweight StatsD client with no dependencies

Projects that require efficient metric tracking without the overhead of additional libraries

✕ Not a fit for

Developers requiring advanced monitoring features beyond basic metrics

Teams needing complex dependency management or integration with multiple languages

Cost structure

Pricing

Free Tier

Available

Open source — free to use

Starts at

$0

Model

Flat rate

Enterprise

None

Performance benchmarks

How Fast Is It?

Ecosystem

Relationships

Works well with

Next step

Get Started with dats

Step-by-step setup guide with code examples and common gotchas.

View Setup Guide →