# chaosblade-io/chaosblade

An easy to use and powerful chaos engineering experiment toolkit.（阿里巴巴开源的一款简单易用、功能强大的混沌实验注入工具）

Repository: https://github.com/chaosblade-io/chaosblade
Canonical: https://ross.abutalabs.com/products/chaosblade
Homepage: https://chaosblade.io
Language: Python
License: Apache-2.0
License Family: permissive
Topics: chaos-engineering, fault-injection, microservice, kubernetes, fault, site-reliability-engineering, chaos-testing, alibaba
Last push: 2026-08-25T13:19:07+00:00

## Health v2 (maintenance only)
Score: 99/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 99, longevity 100
- inputs: {"age_days": 2731, "days_push": 8, "days_rel": 8, "gap_med": 6, "n_releases_24m": 16}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 6505, forks 1007 (observed 2026-08-28T04:09:43.918417+00:00)

## What it is
ChaosBlade is an open-source chaos engineering toolkit from Alibaba for injecting faults into hosts, applications, and Kubernetes clusters to test system resilience. It offers 200+ experiment scenarios across CPU, memory, network, disk, JVM, and container resources, plus an optional web platform (chaosblade-box) and an AI agent layer (Blade AI).

## Use cases
- inject cpu or network faults into a kubernetes cluster to test resilience
- run chaos engineering experiments on microservices
- simulate disk or memory failures on linux hosts
- kill pods or containers to verify service recovery
- test fault tolerance of a java application with jvm-level fault injection
- practice chaos engineering drills before migrating to cloud native

## When to choose
- you need a broad, free chaos engineering tool covering hosts, containers, and multiple languages
- you want both a CLI (blade) and a web UI platform for fault drills
- you are running Kubernetes or cloud-native workloads and need fine-grained experiment control

## When to avoid
- you only need simple load or performance testing rather than fault injection
- you require a fully managed commercial chaos platform with enterprise support
- your environment is Windows-only or non-Linux hosts

## Facets
- artifact type: cli-tool
- maturity: active
- function: testing, cli, monitoring, container-orchestration, deployment
- domain: microservices, cloud-computing, monitoring
- platform: cli, self-hosted
- tags: chaos-engineering, fault-injection, site-reliability-engineering, resilience-testing, kubernetes, microservices, alibaba, cncf-sandbox, devops, containers, linux, docker

## Member repositories
- chaosblade-io/chaosblade (main) score 99

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:43.918417+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 2026-08-29T17:44:28.185387+00:00, confidence not recorded.
  - readme: https://github.com/chaosblade-io/chaosblade (fetched 2026-08-28T04:09:43.918417+00:00, sha 7eac70bf6db4)
  - homepage: https://chaosblade.io (fetched 2026-08-29T08:40:57.982069+00:00, sha 887a203959f2)
  - site_page: https://chaosblade.io/docs (fetched 2026-08-29T08:40:57.991111+00:00, sha 2289c82c0972)
  - site_page: https://chaosblade.io/docs/next (fetched 2026-08-29T08:40:57.993053+00:00, sha 5fe1119ff263)
  - site_page: https://chaosblade.io/docs/1.7.3 (fetched 2026-08-29T08:40:57.994686+00:00, sha 5a449e481805)
  - site_page: https://chaosblade.io/docs/1.7.2 (fetched 2026-08-29T08:40:57.996305+00:00, sha aae6aca6a914)
  - site_page: https://chaosblade.io/docs/1.7.1 (fetched 2026-08-29T08:40:57.998023+00:00, sha 46987d0140d3)
  - site_page: https://chaosblade.io/docs/1.7.0 (fetched 2026-08-29T08:40:57.999698+00:00, sha 009f7271d110)
  - site_page: https://chaosblade.io/docs/community (fetched 2026-08-29T08:40:58.001411+00:00, sha 848cbb4a2ae2)
- Data as of 2026-08-30T08:39:29.467469+00:00.