elastic/kibana

Analysis updated 2026-06-21

★ 21,076TypeScriptAudience · dataComplexity · 3/5Setup · hard

Mindmap

mindmap
  root((kibana))
    What It Does
      Data visualization
      Log analysis
      Dashboard builder
    Tech Stack
      TypeScript
      Elasticsearch
      Elastic Stack
    Use Cases
      Monitor app logs
      Track metrics
      Explore data
    Audience
      Data engineers
      DevOps teams
    Deployment
      Self-hosted
      Elastic Cloud

mindmap root((kibana)) What It Does Data visualization Log analysis Dashboard builder Tech Stack TypeScript Elasticsearch Elastic Stack Use Cases Monitor app logs Track metrics Explore data Audience Data engineers DevOps teams Deployment Self-hosted Elastic Cloud

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What do people build with it?

USE CASE 1

Build dashboards to monitor application logs and spot errors without writing raw database queries.

USE CASE 2

Connect Kibana to your Elasticsearch cluster to filter and explore large datasets through a visual interface.

USE CASE 3

Set up observability dashboards to track system metrics, performance, and uptime across your infrastructure.

What is it built with?

TypeScriptElasticsearchElastic Stack

How does it compare?

	elastic/kibana	agentsmd/agents.md	pmndrs/jotai
Stars	21,076	21,034	21,146
Language	TypeScript	TypeScript	TypeScript
Setup difficulty	hard	easy	easy
Complexity	3/5	1/5	2/5
Audience	data	developer	developer

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · hard Time to first run · 1h+

Kibana's major version must match your Elasticsearch major version exactly, a mismatch will prevent Kibana from starting.

The explanation does not specify the license terms for this repository.

In plain English

Kibana is an open-source web interface for querying, analyzing, visualizing, and managing data stored in Elasticsearch. It is part of the Elastic Stack and serves as the visual front-end that lets you explore your data through dashboards, metrics, and visualizations without writing code for every query. You can use Kibana either by downloading a release and running it yourself, or through Elastic's hosted cloud service. The version of Kibana you run must closely match your Elasticsearch version, if the major version numbers differ, Kibana will refuse to start. A mismatch in minor or patch versions will generate a warning but still run. The project is written in TypeScript and covers observability use cases. Full documentation is available at elastic.co, and community support is available through the Kibana Discuss Forum.

Copy-paste prompts

Prompt 1

I have logs in Elasticsearch and want to build a Kibana dashboard showing error rates over time filtered by service name, walk me through creating it.

Prompt 2

Help me set up Kibana to connect to my self-hosted Elasticsearch instance, including the version matching requirement I need to watch out for.

Prompt 3

I want to visualize time-series metrics from my app in Kibana. Show me how to create a line chart and save it to a shared dashboard.

Prompt 4

Walk me through writing a Kibana Lens query that counts events per hour broken down by HTTP status code.

Frequently asked questions

What is kibana?

Kibana is an open-source web dashboard for Elasticsearch that lets you explore, query, and visualize your data through charts and dashboards without writing code for every query, part of the Elastic Stack.

What language is kibana written in?

Mainly TypeScript. The stack also includes TypeScript, Elasticsearch, Elastic Stack.

What license does kibana use?

The explanation does not specify the license terms for this repository.

How hard is kibana to set up?

Setup difficulty is rated hard, with roughly 1h+ to a first successful run.

Who is kibana for?

Mainly data.

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