DataDog

DataDog / pup

Public

Give your AI agent a Pup — a CLI companion with 200+ commands across 33+ Datadog products.

365
26
100% credibility
Found Feb 10, 2026 at 88 stars 4x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Rust
AI Summary

Pup is a command-line tool from Datadog that simplifies interacting with their APIs to manage monitors, dashboards, SLOs, security rules, incidents, and many other features.

How It Works

1
🔍 Discover Pup

You hear about Pup, a handy tool that makes managing your Datadog alerts, dashboards, and performance goals super simple from your computer terminal.

2
📥 Get Pup

With one easy command, you download and install Pup on your computer – it works on Mac, Windows, or Linux without hassle.

3
🔐 Connect your Datadog

Pup opens your web browser for a quick, secure login to your Datadog account, saving your connection safely.

4
You're all set!

Pup confirms everything is connected and ready – no more complicated setups or remembering passwords.

5
📋 See your alerts and dashboards

Ask Pup to show your current monitors, dashboards, or service goals with simple commands like 'pup monitors list'.

6
✏️ Make changes easily

Create new alerts, update dashboards, or fix service targets right from Pup, with clear confirmations for big changes.

🎉 Datadog under control

Now you effortlessly keep your monitoring, alerts, and performance tracking organized and up-to-date.

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Star Growth

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AI-Generated Review

What is pup?

Pup is a Go-based command-line wrapper for easy interaction with Datadog APIs, perfectly fit for agents or scripts querying monitors, dashboards, SLOs, incidents, logs, and APM data. It delivers structured JSON output from 38 key endpoints (45% coverage), handling OAuth2 auth with browser login and auto-refresh, or fallback API keys. No more juggling curls—install via go install and run commands like `pup monitors list` or `pup slos create`.

Why is it gaining traction?

Native Go binary means fast, cross-platform execution without runtime deps, plus secure PKCE OAuth2 beats manual key management. Focused on observability essentials like metrics queries, error tracking, and cost attribution, with intuitive subcommands and table/JSON/YAML output. Devs grab it for quick Datadog ops in pipelines or terminals, skipping bloated SDKs.

Who should use this?

SREs scripting downtime schedules or incident lookups during on-call, DevOps automating dashboard deletions in CI/CD, or AI agents pulling real-time logs/APM for analysis. Ideal for teams deep in Datadog but tired of ad-hoc API calls.

Verdict

Grab it if you need lightweight Datadog CLI access—docs shine, tests cover commands thoroughly. But 22 stars and 1.0% credibility score mean it's early; stick to core features until maturity grows. (187 words)

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