# apache/nifi

Apache NiFi

Repository: https://github.com/apache/nifi
Canonical: https://ross.abutalabs.com/products/nifi
Homepage: https://nifi.apache.org/
Language: Java
License: Apache-2.0
License Family: permissive
Topics: nifi, java, hacktoberfest, apache
Last push: 2026-08-26T19:22:41+00:00

## Health v2 (maintenance only)
Score: 94/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 84, longevity 100
- inputs: {"age_days": 4282, "days_push": 7, "days_rel": 30, "gap_med": 40, "n_releases_24m": 2}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 6208, forks 2973 (observed 2026-08-28T04:09:39.976553+00:00)

## What it is
Apache NiFi is an easy-to-use, powerful, and reliable system to process and distribute data, built on the JVM. It provides a browser-based interface for designing, running, and monitoring dataflow pipelines with data provenance tracking, guaranteed delivery, back pressure control, and runtime flow modification.

## Use cases
- build data pipelines to ingest and route data between systems
- automate cybersecurity and observability data distribution
- stream events from Kafka, MQTT, or Kinesis into databases and storage
- transform and convert records between JSON, CSV, and Avro formats
- track complete data lineage and provenance for compliance
- move files and data to and from cloud storage like S3 and Azure Blob
- build generative AI data pipelines

## When to choose
- you need a visual, browser-based tool to design dataflows without writing code
- you need guaranteed delivery, back pressure, and data provenance out of the box
- you need to connect many heterogeneous sources and sinks (Kafka, S3, databases, SFTP, cloud services)
- you need runtime modification of flows and multi-tenant authorization

## When to avoid
- you need lightweight, code-first ETL embedded in your application
- your pipelines are simple enough for a script or a scheduler like cron
- you need heavy custom transformations better suited to a stream processing framework like Flink or Spark
- you cannot operate a JVM-based self-hosted server

## Facets
- artifact type: application
- maturity: stable
- function: etl, streaming, workflow-automation, data-science, routing, web-framework
- domain: big-data, self-hosted, analytics
- platform: jvm, self-hosted, cross-platform
- tags: dataflow, data-pipelines, data-provenance, etl-pipelines, visual-programming, apache, ingestion, stream-processing, data-engineering, automation, docker, web-server

## Member repositories
- apache/nifi (main) score 94

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:39.976553+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 2026-08-29T17:47:18.476928+00:00, confidence not recorded.
  - readme: https://github.com/apache/nifi (fetched 2026-08-28T04:09:39.976553+00:00, sha 2c7aa58f4331)
  - homepage: https://nifi.apache.org/ (fetched 2026-08-29T08:43:50.758639+00:00, sha 431fc3e20f5f)
  - site_page: https://nifi.apache.org/documentation (fetched 2026-08-29T08:43:50.762222+00:00, sha 95c4653ab5e5)
  - site_page: https://nifi.apache.org/documentation/v1 (fetched 2026-08-29T08:43:50.766159+00:00, sha c71165e1f27c)
  - site_page: https://nifi.apache.org/documentation/guides (fetched 2026-08-29T08:43:50.767714+00:00, sha 2471903ff966)
  - site_page: https://nifi.apache.org/documentation/security (fetched 2026-08-29T08:43:50.769242+00:00, sha fa06cc5d1e46)
  - site_page: https://nifi.apache.org/components (fetched 2026-08-29T08:43:50.764110+00:00, sha f9c46271ddbc)
- Data as of 2026-08-30T08:39:29.467469+00:00.