# lensesio/fast-data-dev

Kafka Docker for development. Kafka, Zookeeper, Schema Registry, Kafka-Connect, , 20+ connectors

Repository: https://github.com/lensesio/fast-data-dev
Canonical: https://ross.abutalabs.com/products/fast-data-dev
Homepage: https://lenses.io
Language: Shell
License: Apache-2.0
License Family: permissive
Topics: kafka-rest-proxy, schema-registry, kafka, docker, dataops
Last push: 2025-11-20T21:51:52+00:00

## Health v2 (maintenance only)
Score: 56/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 53, release rhythm 35, longevity 100
- inputs: {"age_days": 3666, "days_push": 286, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2079, forks 341 (observed 2026-08-28T04:06:11.555104+00:00)

## What it is
A Docker image that packages a complete Apache Kafka development environment, including a Kafka broker, Zookeeper/KRaft, Confluent Schema Registry, Kafka Connect with 20+ pre-installed Stream Reactor connectors, a web UI for logs, and sample data generators. It is aimed at local development and testing, not production use.

## Use cases
- spin up a local kafka development environment with one docker command
- test kafka connect connectors locally
- run schema registry and kafka broker together for development
- generate sample streaming data for kafka testing
- set up kafka in docker-compose for integration tests
- explore kafka topics through a web ui during development

## When to choose
- you need a full Kafka ecosystem (broker, schema registry, connect) running locally in seconds
- you want pre-installed connectors and sample data for prototyping
- you are developing or testing streaming applications against Kafka

## When to avoid
- you need a production Kafka deployment with clustering, security, and durability
- you only need a lightweight single Kafka broker without the extra services
- you require a managed Kafka service

## Facets
- artifact type: infra-config
- maturity: active
- function: streaming, message-queue, self-hosted, developer-tools, data-generation
- domain: developer-tools, self-hosted, big-data
- platform: windows, self-hosted
- tags: kafka, zookeeper, schema-registry, kafka-connect, kafka-rest-proxy, stream-reactor, development-environment, docker-image, apache-kafka, data-engineering, messaging, docker, linux, macos

## Member repositories
- lensesio/fast-data-dev (main) score 56

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:11.555104+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 2026-08-30T02:56:04.319962+00:00, confidence not recorded.
  - readme: https://github.com/lensesio/fast-data-dev (fetched 2026-08-28T04:06:11.555104+00:00, sha 8ca1bbead889)
  - homepage: https://lenses.io (fetched 2026-08-29T10:36:14.876041+00:00, sha ad0c832ad516)
  - site_page: https://lenses.io/company/about-us (fetched 2026-08-29T10:36:14.883422+00:00, sha 615c99c37dbe)
  - site_page: https://docs.lenses.io (fetched 2026-08-29T10:36:14.885492+00:00, sha 042cab62ae01)
  - site_page: https://lenses.io/community-edition (fetched 2026-08-29T10:36:14.879395+00:00, sha 701e77bff5f5)
  - site_page: https://lenses.io/product/pricing (fetched 2026-08-29T10:36:14.881470+00:00, sha 018f8b16d477)
- Data as of 2026-08-30T08:39:29.467469+00:00.