Chaos Toolkit vs Toxiproxy
Chaos Toolkit
chaostoolkit.orgToxiproxy
github.comSide by side
| Figure | Chaos Toolkit | Toxiproxy |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | Yes | — |
| Web | Yes | — |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · Chaos Engineering Platforms | 8.8 (#3) | 8.2 (#8) |
| License | The software is released under the Apache-2.0 license. | The GitHub repository identifies the project license as MIT. |
| Purpose | Chaos Toolkit is a chaos engineering toolkit for developers to explore and test systems to discover weaknesses. | Toxiproxy is a TCP proxy for simulating network and system conditions in chaos and resiliency testing. |
Plans
In their own words
Chaos Toolkit
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.
Toxiproxy
Toxiproxy is a free, open-source TCP proxy for testing how software responds to network and system problems in development, testing, and CI. Applications route test connections through it, then users change connection behavior through an HTTP API or command-line interface. Built-in toxics can add latency or jitter, restrict bandwidth, delay socket closure, time out or reset connections, slice TCP data, limit transmitted data, or drop packets. Settings support deterministic connection changes as well as randomized chaos. The API manages proxies and toxics, resets proxies, and returns version information and Prometheus-compatible metrics. It listens on port 8474; configuring a proxy with listen port 0 assigns an ephemeral port. Client libraries are listed for Ruby, Go, Python, .NET, PHP, Node.js, Java, Haskell, Rust, and Elixir. Installation options include Linux packages and binaries, Homebrew and MacPorts, a Windows download, a container image, and building from source with Go. The project identifies its license as MIT. Its HTTP API is unauthenticated by default, though bearer-token authentication is supported.