Open Source Linux CI/CD Tools
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CI/CD Tools for Linux
View 30 business solutionsBrowse free open source CI/CD tools and projects for Linux below. Use the toggles on the left to filter open source CI/CD tools by OS, license, language, programming language, and project status.
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JUnit 5
Programmer-friendly testing framework for Java and the JVM
The 5th major version of the programmer-friendly testing framework for Java and the JVM. JUnit 5 is the next generation of JUnit. The goal is to create an up-to-date foundation for developer-side testing on the JVM. This includes focusing on Java 8 and above, as well as enabling many different styles of testing. Official CI build server for JUnit 5. Used to perform quick checks on submitted pull requests and for build matrices including the latest released OpenJDK and early access builds of the next OpenJDK. The JUnit Platform serves as a foundation for launching testing frameworks on the JVM. It also defines the TestEngine API for developing a testing framework that runs on the platform. Furthermore, the platform provides a Console Launcher to launch the platform from the command line and the JUnit Platform Suite Engine for running a custom test suite using one or more test engines on the platform. First-class support for the JUnit Platform also exists in popular IDEs. -
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Vercel
Optimal workflow for frontend teams
Vercel combines the best developer experience with an obsessive focus on end-user performance. Our platform enables frontend teams to do their best work. Developers love Next.js, the open source React framework Vercel built together with Google and Facebook. Next.js powers the biggest websites like Twilio, for use cases in e-commerce, travel, news, and marketing. Vercel is the best place to deploy any frontend app. Start by deploying with zero configuration to our global edge network. Scale dynamically to millions of pages without breaking a sweat. Frontend development is not meant to be a solo activity. The Vercel platform makes it a collaborative experience with deploy previews for every code change, by seamlessly integrating with GitHub, GitLab, and Bitbucket. Avoid surprises by iterating with your entire team. Test from the perspective of your users, on every platform. -
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Jenkins Docker
Docker jenkins repo
The Jenkins Continuous Integration and Delivery server available on Docker Hub. The leading open source automation server, Jenkins provides hundreds of plugins to support building, deploying and automating any project. If you bind mount in a volume, you can simply back up that directory (which is jenkins_home) at any time. This is highly recommended. Treat the jenkins_home directory as you would a database, in Docker you would generally put a database on a volume. If your volume is inside a container, you can use a Docker command to extract the data, or other options to find where the volume data is. Note that some symlinks on some OSes may be converted to copies (this can confuse jenkins with lastStableBuild links etc). You can define the number of executors on the Jenkins built-in node using a groovy script. By default it is set to 2 executors, but you can extend the image and change it to your desired number of executors. -
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Kargo
Application lifecycle orchestration
Kargo is a next-generation continuous delivery and application lifecycle orchestration platform for Kubernetes. It builds upon GitOps principles and integrates with existing technologies, like Argo CD, to streamline and automate the progressive rollout of changes across the many stages of an application's lifecycle. Kargo's goal is to provide an intuitive and flexible layer "above" existing GitOps tooling, wherein you can describe the relationships between various application instances deployed to different environments as well as procedures for progressing changes from one application instance's source of truth to the next. -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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cypress
Fast, easy and reliable testing for anything that runs in a browser
The web has evolved. Finally, testing has too. Fast, easy and reliable testing for anything that runs in a browser. Installing Cypress is simple. No dependencies, extra downloads, or changes to your code required. Write tests easily and quickly, and watch them execute in real time as you build your web application. Debugging your tests in CI is as easy as running tests locally. With built in parallelization and load balancing. Record CI test results, screenshots and video, and view aggregated, next-level insights in your dashboard. Build up a suite of CI tests, record their results and gain powerful insights. Install the Cypress Test Runner and write tests locally. Cypress has been made specifically for developers and QA engineers, to help them get more done. Cypress is based on a completely new architecture. No more Selenium. Lots more power. -
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Jenkins
Build great things at any scale
Jenkins is the leading open-source automation server that allows you to build great things at any scale. Jenkins is built with Java and provides hundreds of plugins for building, deploying and automating virtually anything, allowing you to focus on more important things. Jenkins is often used for building projects, running tests, analyzing static code and deployment. Whatever is done repetitively, Jenkins can most likely execute and execute well, saving you time and optimizing your development process. Jenkins is easy to install, easy to configure and extensible via its plugin architecture. Start building smart with Jenkins! -
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Insomnia API Client
The open-source, cross-platform API client for GraphQL
Insomnia is an open-source, cross-platform API client for GraphQL, REST, and gRPC. Deliver high-quality APIs through standards and collaboration with the Insomnia API design platform. There is a reason developers love Insomnia. With our streamlined API client, you can quickly and easily send REST, SOAP, GraphQL, and GRPC requests directly within Insomnia. Accelerate your teams through spec-driven design-first API development. Catch issues earlier, centralize standards, and adopt an API workflow that works with your existing tools. Automate manual API tests and integrate with your CI/CD process to build out an API testing pipeline using Insomnia Unit Tests and Inso, the Insomnia CLI. Connect directly to Git providers to always be in sync with design changes and enable a GitOps pipeline with Inso, the Insomnia CLI tool. -
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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. -
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CruiseControl.NET
An automated continuous integration server for the .NET platform
CruiseControl.NET is an automated continuous integration server for the .NET platform. It is a C# port of CruiseControl for Java. -
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Concourse
Concourse is a container-based continuous thing-doer written in Go
Built on the simple mechanics of resources, tasks, and jobs, Concourse presents a general approach to automation that makes it great for CI/CD. Concourse is designed to be expressive, versatile, and safe, remaining intuitive as the complexity of your project grows. A Concourse pipeline is like a distributed, continuous Makefile. Each job has a build plan declaring the job's input resources and what to run with them when they change. Your pipeline is then visualized in the web UI, taking only one click to get from a failed job to seeing why it failed. The visualization provides a "gut check" feedback loop: if it looks wrong, it probably is wrong. Jobs can depend on other jobs by configuring passed constraints. The resulting chain of jobs and resources is a dependency graph that continuously pushes your project forward, from source code to production. -
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Flux
Open and extensible continuous delivery solution for Kubernetes
Flux is a tool for keeping Kubernetes clusters in sync with sources of configuration (like Git repositories and OCI artifacts), and automating updates to the configuration when there is new code to deploy. Flux version 2 ("v2") is built from the ground up to use Kubernetes' API extension system, and to integrate with Prometheus and other core components of the Kubernetes ecosystem. In version 2, Flux supports multi-tenancy and support for syncing an arbitrary number of Git repositories, among other long-requested features. Flux v2 is constructed with the GitOps Toolkit, a set of composable APIs and specialized tools for building Continuous Delivery on top of Kubernetes. Flux is a Cloud Native Computing Foundation (CNCF) project, used in production by various organisations and cloud providers. -
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Atlas
A modern tool for managing database schemas
atlas is an open-source schema migration tool. Atlas is a tool for managing and migrating database schemas using modern DevOps principles. It offers two workflows. Similar to Terraform, Atlas compares the current state of the database with the desired state defined in an HCL or SQL schema, and generates a migration plan to reach that state. Unlike other tools, Atlas automatically plans schema migrations for you. Users can describe their desired database schema in HCL or SQL and use Atlas CLI to plan, lint, and apply the necessary migrations. The atlas schema command offers various options for inspecting, diffing, comparing, and modifying database schemas. The atlas migrate command provides a state-of-the-art experience for planning, linting, and applying migrations. Atlas integrates with standard cloud services and provides an easy way to read secrets from cloud providers such as AWS Secrets Manager and GCP Secret Manager. -
13
OpsManage
Automated operation and maintenance platform
Automated operation and maintenance platform: code and application deployment CI/CD, asset management CMDB, scheduled task management platform, SQL audit | rollback, task scheduling, on-site WIKI. A code deployment, application deployment, scheduled tasks, and equipment asset management platform. Welcome to star or fork my open source project. If you need to quote the project code in your own project, please declare the agreement and copyright information in the project. Programming language, Python3.6 + HTML + JScripts. Front-end web framework, Bootstrap. Backend Web Framework, Django. Backend Task Framework, Celery + Redis. Programming language is Python 3.6. Operating System is CentOS 6+. Ansible version 2.6+. Deployment platform and node server Rsync 3+. -
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Argo CD
Declarative continuous deployment for Kubernetes
Argo CD is a declarative, GitOps continuous delivery tool for Kubernetes. Application definitions, configurations, and environments should be declarative and version controlled. Application deployment and lifecycle management should be automated, auditable, and easy to understand. Argo CD follows the GitOps pattern of using Git repositories as the source of truth for defining the desired application state. Argo CD automates the deployment of the desired application states in the specified target environments. Application deployments can track updates to branches, tags, or pinned to a specific version of manifests at a Git commit. See tracking strategies for additional details about the different tracking strategies available. Argo CD is implemented as a kubernetes controller which continuously monitors running applications and compares the current, live state against the desired target state (as specified in the Git repo). -
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Buildbot
Python-based continuous integration testing framework
Buildbot is an open-source framework for automating software build, test, and release processes. At its core, Buildbot is a job scheduling system: it queues jobs, executes the jobs when the required resources are available, and reports the results. Your Buildbot installation has one or more masters and a collection of workers. The masters monitor source-code repositories for changes, coordinate the activities of the workers, and report results to users and developers. Workers run on a variety of operating systems. You configure Buildbot by providing a Python configuration script to the master. This script can be very simple, configuring built-in components, but the full expressive power of Python is available. This allows dynamic generation of configuration, customized components, and anything else you can devise. The framework itself is implemented in Twisted Python, and compatible with all major operating systems. -
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Jenkins X CLI
Jenkins X provides automated CI+CD for Kubernetes
Jenkins X provides automated CI+CD for Kubernetes with Preview Environments on pull requests using cloud-native pipelines from Tekton. Automate the continuous delivery of change through your environments via GitOps and create previews on pull requests to help you accelerate. Each team gets a set of Environments. Jenkins X then automates the management of the Environments and the Promotion of new versions of Applications between Environments via GitOps and pull requests. Jenkins X automatically spins up Preview Environments for your pull requests so you can get fast feedback before changes are merged to the main branch. Jenkins X automatically comments on your Commits, Issues and pull requests with feedback as code is ready to be previewed, is promoted to environments or if pull requests are generated automatically to upgrade versions. -
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bors-ng
A merge bot for GitHub Pull Requests
bors-ng is a GitHub merge bot that enforces an “evergreen” main branch by queueing approved pull requests, testing them together on a staging branch, and only advancing main with the exact, passing commit set. Instead of maintainers repeatedly rebasing and merging one PR at a time, bors-ng batches r+-ed PRs, triggers your existing CI (e.g., GitHub Actions), and merges automatically when the batch is green. If a batch fails, it bisects the batch into smaller runs to isolate the culprit, landing the good PRs and kicking only the failing one(s) back for fixes. The bot is implemented as a GitHub App and works alongside—rather than replacing—your CI by reporting commit statuses/checks and acting on PR comments like bors r+ or bors try. It provides a dashboard to watch queue progress, uses separate staging/trying branches for merge/test cycles, and supports both public GitHub and GitHub Enterprise endpoints. -
18
Agola
Agola CI/CD Redefined
Execute your runs in a reproducible containerized environment. Restart them from start or from the failed tasks. Implement every kind of workflow you want from simple builds to complex deployments. GitHub, GitLab, Gitea, custom Git repositories (and more to come). Execute your tasks inside a Kubernetes cluster, local docker, etc. Keep the same Runs definition but use different variables values based on rules to test your runs on multiple environments. Runs definitions are committed inside your git repositories and triggered upon push/tag/pull request. Scalable and High Available: go from a single instance (single process) deployment to a distributed deployment. Deploy anywhere: Kubernetes, IaaS, bare metal and execute the "tasks" anywhere (currently containers executors like docker or orchestrators and Kubernetes, but easily extensible to future technologies or VMs instead of containers). Support any language, deployment system etc. (just use the right image). -
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Captain
Convert your Git workflow to Docker containers
Captain - Convert your Git workflow to Docker containers ready for Continuous Delivery. Define your workflow in the captain.yaml and use captain to your Continuous Delivery service to create containers for each commit, test them and push them to your registry only when tests passes. Use captain build to build your Dockerfile(s) of your repository. If your repository has local changes the containers will only be tagged as latest, otherwise the containers will be tagged as latest, COMMIT_ID & BRANCH_NAME. Now your Git commit tree is reproduced in your local docker repository. Use captain test to run your tests. Use captain push to send selected images to the remote repository. From the other side, you can now pull the feature branch you want to test, or create distribution channels (such as 'alpha', 'beta', 'stable') using git tags that are propagated to container tags. Captain will automatically configure itself with sane values without the need for any pre-configuration. -
20
Drone
Drone is a Container-Native, Continuous Delivery Platform
Drone is a self-service Continuous Integration platform for busy development teams. Pipelines are configured with a simple, easy‑to‑read file that you commit to your git repository. Each Pipeline step is executed inside an isolated Docker container that is automatically downloaded at runtime. Drone integrates seamlessly with multiple source code management systems, including GitHub, GitHubEnterprise, Bitbucket, and GitLab. Drone natively supports multiple operating systems and architectures, including Linux x64, ARM, ARM64, and Windows x64. Drone works with any language, database, or service that runs inside a Docker container. Choose from thousands of public Docker images or provide your own. Drone uses containers to drop pre‑configured steps into your pipeline. Choose from hundreds of existing plugins, or create your own. Drone makes advanced customization easy. Implement custom access controls, approval workflows, secret management, yaml syntax extensions, and more. -
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EARTHLY
The effortless CI/CD framework that runs anywhere
Share compute and cache with Earthly Satellites. Build remotely from the comfort of your terminal. Satellites use the code in your current directory, stream logs back to you in real time, and output results (images, artifacts) back to your laptop. When used from a CI, Earthly Satellites can be used to speed up builds, as the cache is retained between runs. Earthly was engineered for readability. Most engineers are able to read an Earthfile without any prior knowledge. We took some of the best ideas from Dockerfiles and Makefiles and combined them into one specification. Earthly builds are self-contained, isolated and repeatable. Regardless of whether Earthly runs in your CI or on your laptop, the build will run the same way. This allows for faster iteration and easier debugging. Unlock your team's full productivity by eliminating "works on my machine but not in CI" blockers. -
22
Infracost
Cloud cost estimates for Terraform in pull requests
Infracost scans for Terraform code changes and checks over 3 million prices to create a simple, understandable cost estimate before any resources are launched. Infracost integrates into CI/CD so everyone knows the cost impact of changes without leaving the workflow. Infracost integrates with Open Policy Agent, Sentinel, and Conftest, enabling DevOps teams to set best practices as policies. Infracost automatically creates detailed, shareable cost estimates which can be sent to clients and managers with different scenarios. Infracost supports over 230 Terraform resources across AWS, Azure and Google. Other IaC tools, such as Pulumi, AWS CloudFormation/CDK and Azure ARM/Bicep are on our roadmap. Infracost can also estimate usage-based resources such as AWS S3 or Lambda! Infracost has many CI/CD integrations so you can easily post cost estimates in pull requests. This provides your team with a safety net as people can discuss costs as part of the workflow. -
23
Jest Puppeteer
Run your tests using Jest & Puppeteer
Most continuous integration platforms limit the number of threads one can use. If you have more than one test suite running puppeteer chances are that your test will timeout. This is because jest will try to run puppeteer in parallel and the CI platform won't be able to handle all the parallel jobs in time. A fix to this is to run your test serially when in a CI environment. Users have discovered that running test serially in such environments can render up to 50% of performance gains. Writing integration test can be done using Puppeteer API but it can be complicated and hard because API is not designed for testing. Debugging tests can be hard sometimes and it is very useful to be able to pause tests in order to inspect the browser. Jest Puppeteer exposes a method jestPuppeteer.debug() that suspends test execution and gives you the opportunity to see what's going on in the browser. -
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Job DSL Plugin
Define Jenkins jobs using Groovy-based domain-specific language
The Job DSL Plugin allows Jenkins users to define and manage their jobs using a Groovy-based domain-specific language (DSL). This enables infrastructure-as-code for Jenkins jobs, making CI/CD pipelines reproducible, version-controlled, and easy to update. The plugin simplifies the creation of complex build configurations and supports templates, conditional logic, and job generation through scripts. -
25
Kubespray
Deploy a Production Ready Kubernetes Cluster
Can be deployed on AWS, GCE, Azure, OpenStack, vSphere, Equinix Metal (bare metal), Oracle Cloud Infrastructure (Experimental), or Baremetal. Highly available cluster. Composable (Choice of the network plugin for instance). Supports most popular Linux distributions. Continuous integration tests. The list of available docker versions is 18.09, 19.03, and 20.10. The recommended docker version is 20.10. The kubelet might break on docker's non-standard version numbering (it no longer uses semantic versioning). To ensure auto-updates don't break your cluster look into e.g. yum version lock plugin or apt pin). The target servers must have access to the Internet in order to pull docker images. Otherwise, additional configuration is required. The target servers are configured to allow IPv4 forwarding. If using IPv6 for pods and services, the target servers are configured to allow IPv6 forwarding.
