analytics

Grafana: Unified dashboards for real‑time metrics, logs & traces

Create instant, actionable dashboards from Prometheus, Loki, Elasticsearch, Postgres and more—perfect for founders who need clear visibility, backed by 77k+ GitHub stars.
77,287 stars+167★ this week14,858 forksTypeScriptGuide quality 9/10 · reviewed Oct 4Updated 10/15/2026100% free · open source
What it does

Grafana provides a unified platform for monitoring and visualizing metrics, logs, and traces from multiple data sources, giving founders a single pane of glass to understand their startup's performance.

When to use it
  • •When you need to combine metrics from different tools like Prometheus, Loki, and Elasticsearch
  • •When you want to create custom dashboards for your startup's key performance indicators (KPIs)
  • •When you need to set up alerts and notifications based on specific conditions in your metrics and logs
Ready-to-paste prompt
Create a new dashboard with a panel showing the average CPU usage of a container: 'avg(rate(container_cpu_usage_seconds_total[1m]))'
Heads up: Make sure you have Docker installed and running on your system before attempting to install and run Grafana using the 'docker run' command, as described in the Grafana README
Saves to your device
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Claude Code
mkdir -p ~/.claude/skills/grafana && curl -fsSL https://workflowstacks.com/api/skills/grafana/claude-skill -o ~/.claude/skills/grafana/SKILL.md
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How Grafana: Unified dashboards for real‑time metrics, logs & traces works
Codeflow
Free to inspect

Grafana: Unified dashboards for real‑time metrics, logs & traces is a very large TypeScript project (~2.5M lines across 15902 code files, plus 491 test files). Setup is light: installs like a normal app. Reading the code is optional. Last commit this month, AGPL-3.0 license, has a test suite.

Size
Very large codebase
~2.5M lines · 15902 code files · days to read — use, don't read
Setup
One-command install
Installs like a normal app. Reading the code is optional.
Runs on
Node.js · Go · Docker
No API keys detected
TypeScript 48%Go 46%PLpgSQL 4%CUE 1%
What happens, step by step

Grafana monitors and visualizes metrics

You give
User data
1Query Data
Get metrics from sources
2Create Dash
Make dynamic dashboards
3Alert Setup
Define alert rules
4Explore Metrics
Explore data through queries
pkg/README.md
You get
Visualized metrics
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    AGENTS.md
    The instructions the AI actually follows
  3. 3
    go.mod
    Dependencies and the commands it exposes
  4. 4
    pkg/README.md
    Inside pkg/ — the main logic begins here
What's in each folder
pkg/Core code — the actual logic6793 files
packages/Sub-packages / plugins2307 files
apps/Sub-packages / plugins1909 files
docs/Documentation774 files
devenv/Folder432 files
e2e-playwright/Folder385 files
scripts/Helper scripts137 files
contribute/Folder43 files
READMEHas testsDocumentedCI checksDocker readyAGPL-3.0 licenseUpdated this month
Quick Actions
Details
Creator
grafana
Language
TypeScript
Category
analytics
Published
12/11/2013

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