Chaos Toolkit vs ChaosBlade

Chaos Toolkit is a free, open-source chaos engineering toolkit for developers exploring systems to uncover weaknesses. Experiments define a steady-state hypothesis and probes to check it, along with a method of actions and probes. If the system does not meet the stated steady state, the method is not applied and the experiment must stop. Experiments can be declared in JSON or YAML files, making them suitable for collaboration and orchestration alongside code. The toolkit extends to systems through its Open API and can be embedded in a CI/CD chain. Listed integrations include AWS, Azure, Google Cloud Platform, Kubernetes, Kafka, Slack, Datadog, Grafana, OpenTelemetry, and Prometheus. The standalone CLI is available under Apache License 2.0. It is implemented in Python 3, officially supports Python 3.8 and later, and has only been tested against CPython. Installation instructions cover macOS, Debian or Ubuntu, and Windows; users can install extensions after the CLI and core library. Reliably is a separate platform with SaaS, private SaaS, and on-premises options.

ChaosBlade is a free, open-source chaos engineering project comprising the ChaosBlade experiment tool and the ChaosBlade-Box platform. Its stated aim is to help enterprises address availability problems during cloud-native adoption. Experiments cover CPU, memory, network, disk, processes, kernels, and files, as well as multilingual applications and Kubernetes resources. They can run through the command-line interface, Kubernetes YAML and CRDs, HTTP server calls, or the Box interface. ChaosBlade-Box provides a shared experiment interface, automates deployment of experiment tools, and can host ChaosBlade and LitmusChaos. It uses Helm for deployment management and integrates Prometheus monitoring. Safety policies support manual stopping or automatic stopping after a configured timeout. Users can download and unpack the CLI on a host, or install the tool and platform on Kubernetes with Helm. The host installation guide lists Java and MySQL requirements; automatic probe installation also needs Ansible and expect. The project supports Kubernetes and is identified as a Cloud Native Computing Foundation sandbox project.