# elastic/logstash

Logstash - transport and process your logs, events, or other data

Repository: https://github.com/elastic/logstash
Canonical: https://ross.abutalabs.com/products/logstash
Homepage: https://www.elastic.co/products/logstash
Language: Java
License: NOASSERTION
License Family: other
Topics: etl-framework, streaming, logging, java, jruby, real-time-processing
Last push: 2026-08-26T16:00:39+00:00

## Health v2 (maintenance only)
Score: 95/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 99, release rhythm 86, longevity 100
- inputs: {"age_days": 5768, "days_push": 7, "days_rel": 13, "gap_med": 0, "n_releases_24m": 106}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 14925, forks 3503 (observed 2026-08-28T04:11:08.948088+00:00)

## What it is
Logstash is an open-source server-side data processing pipeline that ingests data from multiple sources simultaneously, transforms it, and ships it to a destination such as Elasticsearch. It features a plugin architecture with over 200 input, filter, and output plugins for parsing, enriching, and routing logs and events in real time.

## Use cases
- collect and centralize logs from multiple servers
- parse unstructured log lines with grok into structured fields
- transform and enrich events before indexing into Elasticsearch
- ship metrics and application data to a datastore in real time
- anonymize or drop sensitive fields from log events
- ingest data from AWS services, databases, and message queues
- build a real-time data processing pipeline for observability

## When to choose
- you need a mature, extensible log and event ingestion pipeline
- you use the Elastic Stack and want tight Elasticsearch integration
- you need to parse, filter, and enrich heterogeneous data sources
- you want a large plugin ecosystem and community support

## When to avoid
- you need a lightweight log shipper with minimal resource usage (consider Beats or Fluent Bit)
- you only need simple forwarding without transformation
- you want a code-first stream processing framework rather than config-driven pipelines

## Facets
- artifact type: application
- maturity: stable
- function: etl, streaming, logging, data-science, developer-tools
- domain: monitoring, big-data, analytics
- platform: jvm, cross-platform, self-hosted
- tags: log-pipeline, data-processing, elastic-stack, log-ingestion, event-processing, plugin-ecosystem, data-engineering, devops, docker

## Member repositories
- elastic/logstash (main) score 95

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:08.948088+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:06:53.094884+00:00, confidence not recorded.
  - readme: https://github.com/elastic/logstash (fetched 2026-08-28T04:11:08.948088+00:00, sha 38d8b8317623)
  - homepage: https://www.elastic.co/products/logstash (fetched 2026-08-29T08:04:59.753479+00:00, sha e9be5525941b)
  - site_page: https://www.elastic.co/about (fetched 2026-08-29T08:04:59.756303+00:00, sha dcc190ae197d)
  - site_page: https://www.elastic.co/getting-started (fetched 2026-08-29T08:04:59.759783+00:00, sha 7de41ab1d939)
  - site_page: https://www.elastic.co/docs (fetched 2026-08-29T08:04:59.763176+00:00, sha c4139162fd2c)
  - site_page: https://www.elastic.co/webinars/getting-started-logstash (fetched 2026-08-29T08:04:59.767676+00:00, sha 436fec78e2e3)
  - site_page: https://www.elastic.co/partners/ai-ecosystem (fetched 2026-08-29T08:04:59.758098+00:00, sha 87dba7e5abe6)
  - site_page: https://www.elastic.co/integrations/data-integrations (fetched 2026-08-29T08:04:59.761446+00:00, sha 75f0e785f92a)
  - site_page: https://www.elastic.co/search-labs (fetched 2026-08-29T08:04:59.764697+00:00, sha 4474e57454b5)
  - site_page: https://www.elastic.co/pricing (fetched 2026-08-29T08:04:59.766177+00:00, sha 6ab7886d790c)
- Data as of 2026-08-30T08:39:29.467469+00:00.