Open Source Go Software Testing Tools for Linux
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Go Software Testing Tools for Linux
View 40 business solutionsBrowse free open source Go Software Testing Tools for Linux and projects below. Use the toggles on the left to filter open source Go Software Testing Tools for Linux by OS, license, language, programming language, and project status.
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AI-powered service management for IT and enterprise teamsGive your IT, operations, and business teams the ability to deliver exceptional services—without the complexity. Maximize operational efficiency with refreshingly simple, AI-powered Freshservice.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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1
MailHog
Web and API based SMTP testing
Inspired by MailCatcher, easier to install. Built with Go, MailHog runs without installation on multiple platforms. Run it from Docker Hub or using the provided Dockerfile. The SMTP server starts on port 1025, the HTTP server starts on port 8025, in-memory message storage. ESMTP server implementing RFC5321. Support for SMTP AUTH (RFC4954) and PIPELINING (RFC2920). Web interface to view messages (plain text, HTML or source). Supports RFC2047 encoded headers. Real-time updates using EventSource. Release messages to real SMTP servers. Chaos Monkey for failure testing. HTTP API to list, retrieve and delete messages. See APIv1 and APIv2 documentation for more information. HTTP basic authentication for MailHog UI and API. Multipart MIME support. Download individual MIME parts. In-memory message storage. MongoDB and file based storage for message persistence. Lightweight and portable. No installation required. -
2
k6
A modern load testing tool, using Go and JavaScript
The best developer experience for load testing. Open source and SaaS for engineering teams. Test early and continuously—break the QA silo in performance testing. Backend and frontend engineers prevent regressions when running performance tests. Test scalability to improve your reliability targets. Test SLOs and avoid SLA breaches. Shift left and collaborate with developers for effective and continuous testing. Use the same script for local, distributed, and cloud tests. Migrate from local tests to the cloud using the same script for both environments. Verify that applications can handle the expected traffic. Adapt your testing: stress tests, peak tests, soak tests, etc. Mix browser and API testing—interact with real browsers and collect frontend metrics to get a holistic user view. Simulate real-world traffic in your chaos experiments. Inject system failures in your k6 tests. -
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Trivy
Find vulnerabilities, misconfigurations, secrets, SBOM in containers
Trivy is the most popular open source security scanner, reliable, fast, and easy to use. Use Trivy to find vulnerabilities & IaC misconfigurations, SBOM discovery, Cloud scanning, Kubernetes security risks,and more. Trivy is praised by professionals from organizations worldwide. Are you a Trivy fan as well? We’d love to hear from you! Trivy detects vulnerabilities from a wide array of operating systems and programming languages, across different versions, and vulnerability sources. Detect common misconfigurations with Trivy, using the same familiar tool and workflow that you already have in place for vulnerabilities. Trivy scans Terraform, CloudFormation, Docker, Kubernetes, and many other IaC configuration files for security issues right alongside vulnerabilities. Trivy IaC is brought to you by the team behind the popular tfsec project. Trivy is a single binary with no dependencies! There’s no database to maintain, no external tools it relies on, no runtime requirements whatsoever. -
4
Toxiproxy
A TCP proxy to simulate network and system conditions for chaos
Toxiproxy is a framework for simulating network conditions. It's made specifically to work in testing, CI and development environments, supporting deterministic tampering with connections, but with support for randomized chaos and customization. Toxiproxy is the tool you need to prove with tests that your application doesn't have single points of failure. We've been successfully using it in all development and test environments at Shopify since October, 2014. See our blog post on resiliency for more information. Toxiproxy usage consists of two parts. A TCP proxy written in Go (what this repository contains) and a client communicating with the proxy over HTTP. You configure your application to make all test connections go through Toxiproxy and can then manipulate their health via HTTP. See Usage below on how to set up your project. -
AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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ali
Generate HTTP load and plot the results in real-time
Generate HTTP load and plot the results in real-time. A load testing tool capable of performing real-time analysis, inspired by vegeta and jplot. ali comes with an embedded terminal-based UI where you can plot the metrics in real-time, so lets you perform real-time analysis on the terminal. Press l (or h) to switch the displayed chart. On all charts, you can click and drag to select a region to zoom into. -
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tracetest
Build integration and end-to-end tests in minutes
Tracetest is a trace-based testing tool for integration and end-to-end testing using OpenTelemetry traces. Verify end-to-end transactions and side effects across microservices & event-driven apps by using trace data as test specs. Cypress and Selenium are constrained by using the browser for testing. Tracetest bypasses this entirely by using your existing OpenTelemetry instrumentation and trace data to run tests and assertions against traces in every step of a request transaction. -
7
Fortio
Fortio load testing library, command line tool, advanced echo server
Fortio (Φορτίο) started as, and is, Istio’s load testing tool and later (2018) graduated to be its own open-source project. Fortio runs at a specified query per second (qps) and records an histogram of execution time and calculates percentiles (e.g. p99 ie the response time such as 99% of the requests take less than that number (in seconds, SI unit)). It can run for a set duration, for a fixed number of calls, or until interrupted (at a constant target QPS, or max speed/load per connection/thread). Fortio is a fast, small (4Mb docker image, minimal dependencies), reusable, embeddable go library as well as a command line tool and server process, the server includes a simple web UI and REST API to trigger run and see graphical representation of the results (both a single latency graph and a multiple results comparative min, max, avg, qps and percentiles graphs). -
8
Goss
Quick and Easy server testing/validation
For testing docker containers see the dgoss wrapper. Also, user submitted wrapper scripts for Kubernetes kgoss and Docker Compose dcgoss. Goss is a YAML-based serverspec alternative tool for validating a server’s configuration. It eases the process of writing tests by allowing the user to generate tests from the current system state. Once the test suite is written they can be executed, waited-on, or served as a health endpoint. An initial set of tests can be derived from the system state by using the add or auto add commands. A Json draft 7 schema available in docs/goss-json-schema.yaml makes it easier to edit simple goss.yaml files in IDEs, providing usual coding assistance such as inline documentation, completion and static analysis. -
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gock
HTTP traffic mocking and testing made easy in Go
Versatile HTTP mocking made easy in Go that works with any net/http based stdlib implementation. Heavily inspired by nock. There is also its Python port, pook. Simple, expressive, fluent API. Semantic API DSL for declarative HTTP mock declarations. Built-in helpers for easy JSON/XML mocking. Supports persistent and volatile TTL-limited mocks. Full regular expressions capable HTTP request mock matching. Designed for both testing and runtime scenarios. Match request by method, URL params, headers and bodies. Extensible and pluggable HTTP matching rules. Ability to switch between mock and real networking modes. Ability to filter/map HTTP requests for accurate mock matching. Supports map and filters to handle mocks easily. Wide compatible HTTP interceptor using http.RoundTripper interface. Works with any net/http compatible client, such as gentleman. Network timeout/cancelation delay simulation. Extensible and hackable API. Dependency free. -
Run Any Workload on Compute Engine VMsCompute Engine delivers high-performance virtual machines for web apps, databases, containers, and AI workloads. Choose from general-purpose, compute-optimized, or GPU/TPU-accelerated machine types—or build custom VMs to match your exact specs. With live migration and automatic failover, your workloads stay online. New customers get $300 in free credits.
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10
Insider
Static Application Security Testing (SAST) engine
Static Application Security Testing (SAST) engine focused on covering the OWASP Top 10, to make source code analysis to find vulnerabilities right in the source code, focused on agile and easy-to-implement software inside your DevOps pipeline. Support the following technologies: Java (Maven and Android), Kotlin (Android), Swift (iOS), .NET. Insider is focused on covering the OWASP Top 10, to make source code analysis to find vulnerabilities right in the source code, focused on a agile and easy to implement software inside your DevOps pipeline. We currently support the following technologies: Java (Maven and Android), Kotlin (Android), Swift (iOS), .NET Full Framework, C#, and Javascript (Node.js). -
11
Keploy
Testing for Developers. Toolkit that creates test-cases and data mocks
Keploy is a functional testing toolkit for developers. It generates E2E tests for APIs (KTests) along with mocks or stubs(KMocks) by recording real API calls. KTests can be imported as mocks for consumers and vice-versa. Merge KTests with unit testing libraries(like Go-Test, JUnit..) to track combined test coverage. KMocks can also be referenced in existing tests or use anywhere (including any testing framework). KMocks can also be used as tests for the server. Keploy is added as a middleware to your application that captures and replays all network interaction served to the application from any source. Keploy has native interoperability as it integrates with popular testing libraries like go-test, junit. Code coverage will be reported with existing plus KTests. It'll also be integrated in CI pipelines/infrastructure automatically if you already have go-test, junit integrated. -
12
Ddosify
High-performance load testing tool, written in Golang
vLoad tests should be done regularly to avoid being caught unprepared. Find out the maximum service capacity of your web system. Start the test either instantly or for a future date. Define your periodic load tests. Without load tests, businesses understand the load capacity of their systems when they become inaccessible during campaign times such as Black Friday or Cyber Monday. Determine the origins of requests and the test duration with our easy-to-use web interfaces. Review past load tests and general performance from our reports and charts. Adjust the origin of the requests from 100+ locations. Existing solutions are costly and limited. So we’ve developed a brand-new load generator. Customize your tests with scenarios on UI. Without a line of code! Insightful reports and charts to improve your service capability. -
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Terratest
Go library that makes it easier to write automated tests
Terratest is a Go library that provides patterns and helper functions for testing infrastructure, with 1st-class support for Terraform, Packer, Docker, Kubernetes, AWS, GCP, and more. Create a file ending in _test.go and run tests with the go test command. E.g., go test my_test.go. Use Terratest to execute your real IaC tools (e.g., Terraform, Packer, etc.) to deploy real infrastructure (e.g., servers) in a real environment (e.g., AWS). Use the tools built into Terratest to validate that the infrastructure works correctly in that environment by making HTTP requests, API calls, SSH connections, etc. Undeploy everything at the end of the test. Write automated tests for infrastructure code, including the code you write for use with tools such as Terraform, Kubernetes, Docker, and Packer. This code is released under the Apache 2.0 License. -
14
GoReplay
The Swiss Army knife for testing and monitoring
Increase confidence in code deployments, configuration changes and infrastructure changes with GoReplay! GoReplay is an innovative open source tool that captures and replays live HTTP traffic, using it to continuously test your system with real data. Now you don’t have to put up with risks that come with putting a third-party component in the critical path. With GoReplay you can analyze and record your application traffic without affecting it whatsoever. Use it for shadowing, load testing, monitoring and detailed analysis. You can trust GoReplay to accurately emulate production environments so you can make changes and deploy with confidence. -
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Learn Go with Tests
Learn Go with test-driven development
Katas are fun but they are usually limited in their scope for learning a language; you're unlikely to use goroutines to solve a kata. Another problem is when you have varying levels of enthusiasm. Some people just learn way more of the language than others and when demonstrating what they have done end up confusing people with features the others are not familiar with. This ends up making the learning feel quite unstructured and ad hoc. By far the most effective way was by slowly introducing the fundamentals of the language by reading through go by example, exploring them with examples and discussing them as a group. This was a more interactive approach than "read chapter x for homework". Over time the team gained a solid foundation of the grammar of the language so we could then start to build systems. This is for people who are interested in picking up Go and/or people who already know some Go, but want to explore testing more. -
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Testify
Thou Shalt Write Tests in Go
Testify is a Go (golang) toolkit with common assertions and mocks for testing your code. It features a specific set of packages, namely: assert package, which allows for better, more readable test code in Go; require package, which is similar to the assert package but instead of returning a boolean result, terminates the current test; mock package, which allows for easy writing of mock objects; and the suit package, which provides functionality similar to those of more common object oriented languages. Testify is easy to install or update, and supports the three major Go versions (1.11, 1.12 and 1.13). -
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gh-ost
GitHub's online schema migrations for MySQL
gh-ost is a triggerless online schema migration solution for MySQL. It is testable and provides pausability, dynamic control/reconfiguration, auditing, and many operational perks. gh-ost produces a light workload on the master throughout the migration, decoupled from the existing workload on the migrated table. It has been designed based on years of experience with existing solutions, and changes the paradigm of table migrations. All existing online-schema-change tools operate in similar manner: they create a ghost table in the likeness of your original table, migrate that table while empty, slowly and incrementally copy data from your original table to the ghost table, meanwhile propagating ongoing changes (any INSERT, DELETE, UPDATE applied to your table) to the ghost table. Finally, at the right time, they replace your original table with the ghost table. gh-ost uses the same pattern. However it differs from all existing tools by not using triggers. -
18
gomock
GoMock is a mocking framework for the Go programming language
gomock is a mocking framework for the Go programming language. It integrates well with Go's built-in testing package, but can be used in other contexts too. Once you have installed Go, install the mockgen tool. If you have not done so already be sure to add $GOPATH/bin to your PATH. If you use mockgen in your CI pipeline, it may be more appropriate to fixate on a specific mockgen version. Source mode generates mock interfaces from a source file. It is enabled by using the -source flag. Other flags that may be useful in this mode are -imports and -aux_files. Reflect mode generates mock interfaces by building a program that uses reflection to understand interfaces. It is enabled by passing two non-flag arguments, an import path, and a comma-separated list of symbols. The mockgen command is used to generate source code for a mock class given a Go source file containing interfaces to be mocked. -
19
Beego
Open source framework to build & develop applications in the Go way
Beego is an open source, high-performance web framework for building and developing applications in Go. Beego offers plenty of superb features, including RESTful support, MVC architecture, powerful built-in modules, intelligent routing and monitoring, plus Go-specific features like interfaces and struct embedding. Beego is very easy to use. Features like code hot compile, automated testing, as well as automated packing and deploying allow you to build your applications in a snap. Beego can be used for the rapid development of RESTful APIs, web apps and backend services that are written in Go. -
20
Ethr
Ethr is a comprehensive network measurement tool for TCP, UDP & ICMP
Ethr is a cross-platform network performance measurement tool written in golang. The goal of this project is to provide a native tool for comprehensive network performance measurements of bandwidth, connections/s, packets/s, latency, loss & jitter, across multiple protocols such as TCP, UDP, HTTP, HTTPS, and across multiple platforms such as Windows, Linux and other Unix systems. Ethr takes inspiration from existing open-source network performance tools and builds upon those ideas. For Bandwidth measurement, it is similar to iPerf3, for TCP & UDP traffic. iPerf3 has many more options for doing such as throttled testing, richer feature set, while Ethr has support for multiple threads, which allows it to scale to 1024 or even higher number of connections, multiple clients communication to a single server etc. For latency measurements, it is similar to latte on Windows or sockperf on Linux. -
21
Hoverfly
Lightweight service virtualization/ API simulation / API mocking tool
Hoverfly is a lightweight, open source API simulation tool. Using Hoverfly, you can create realistic simulations of the APIs your application depends on. Replace unreliable test systems and restrictive API sandboxes with high-performance simulations in seconds. Run on MacOS, Windows or Linux, or use native Java or Python language bindings to get started quickly. Simulate API latency or failure when required by writing custom scripts in the language of your choice. -
22
dockerize
Utility to simplify running applications in docker containers
Utility to simplify running applications in docker containers. dockerize is a utility to simplify running applications in docker containers. It allows you to generate application configuration files at container startup time from templates and container environment variables. generate application configuration files at container startup time from templates and container environment variables. Wait for other services to be available using TCP, HTTP(S), unix before starting the main process. The typical use case for dockerize is when you have an application that has one or more configuration files and you would like to control some of the values using environment variables. Another use case is when the application logs to specific files on the filesystem and not stdout or stderr. This makes it difficult to troubleshoot the container using the docker logs command. -
23
BigCache
Efficient cache for gigabytes of data written in Go
To meet the requirements presented at the beginning of this chapter, we implemented our own cache and named it BigCache. The BigCache provides shards, eviction and it omits GC for cache entries. As a result, it is very fast cache even for large number of entries. Freecache is the only one of the available in-memory caches in Go which provides that kind of functionality. BigCache is an alternative solution for it and reduces GC overhead differently, therefore we decided to share it. Fast, concurrent, evicting in-memory cache written to keep big number of entries without impact on performance. BigCache keeps entries on heap but omits GC for them. To achieve that, operations on byte slices take place, therefore entries (de)serialization in front of the cache will be needed in most use cases. -
24
CDK
Make security testing of K8s, Docker, and Containerd easier
CDK is an open-sourced container penetration toolkit, designed for offering stable exploitation in different slimmed containers without any OS dependency. It comes with useful net-tools and many powerful PoCs/EXPs and helps you to escape container and take over K8s cluster easily. -
25
Conftest
Write tests against structured configuration data
Conftest is a utility to help you write tests against structured configuration data. For instance, you could write tests for your Kubernetes configurations, Tekton pipeline definitions, Terraform code, Serverless configs, or any other structured data. Conftest relies on the Rego language from Open Policy Agent for writing policies. If you're unsure what exactly a policy is, or unfamiliar with the Rego policy language, the Policy Language documentation provided by the Open Policy Agent documentation site is a great resource to read.
