Ross ROSS = Recommend OSS · open-source software intelligence for agents

elastic/examples resource

Home for Elasticsearch examples available to everyone. It's a great way to get started. observed · 2026-08-28

github.com/elastic/examples · Jupyter Notebook · Apache-2.0 (permissive) · archived observed · 2026-08-28

Health v2 · maintenance only

10/100

  • Activity 0
  • Release rhythm 8
  • Longevity 100

Flags: archived

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 4376
  • days_rel: n/a
  • days_push: 755
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

2649 stars · 1210 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A collection of hands-on examples and Jupyter Notebook tutorials for the Elastic Stack (Elasticsearch, Kibana, Logstash), covering common data formats like Apache/NGINX logs and public datasets such as earthquakes and campaign contributions. It is maintained by Elastic as a starting point for learning search, analytics, and visualization with the stack.

Use cases

  • learn elasticsearch from examples
  • index and analyze apache or nginx logs with the elastic stack
  • explore public datasets like earthquakes or nyc traffic accidents in kibana
  • get started with elasticsearch and kibana tutorials
  • find sample datasets to load into elasticsearch
  • learn graph exploration and machine learning features of elastic

When to choose

  • you are new to the Elastic Stack and want guided, runnable examples
  • you need sample datasets and notebooks to practice Elasticsearch ingestion and Kibana visualization
  • you want reference implementations for analyzing logs or public datasets with Elasticsearch

When to avoid

  • you need production-ready code or a supported client library rather than tutorials
  • you use a different search or analytics stack than Elasticsearch
  • you need a maintained software package with an API instead of example notebooks

Facets

learning-resource · maturity active

search-engine data-visualization analytics etl analytics data-science developer-tools tutorials cross-platform python self-hosted elasticsearch elastic-stack examples jupyter-notebooks log-analytics public-datasets kibana tutorials search docker

1 source

Member repositories

RepositoryRoleHealth v2
elastic/examplesmain10

For agents

markdown · JSON · MCP: product_card(name="elastic/examples")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem