One server can hold every package your builds pull, publish, and cache, so the team stops juggling a different registry for every language. Astrum Repository hosts your own artifacts, proxies public registries so builds keep working when an upstream is down, and groups both behind a single address your tools already understand. Thirty-nine formats share that address: Docker and OCI images, Maven, npm, PyPI, Cargo, Go modules, Helm charts, NuGet, Terraform modules, APT and Yum packages, Hugging Face models, browser extensions, Git LFS, and even remote caches for Nx and Turborepo. Blob storage grows with you, moving between disk, S3, and agent-connected stores that combine into groups without relocating data. Access stays deliberate through users, roles, privileges, and content selectors, with LDAP and OpenID Connect sign-in and access tokens minted for CI pipelines. Day-to-day operations are visible rather than guessed: health endpoints, Prometheus metrics, scheduled tasks, cleanup policies, audit trails, and backups are built in, and several servers can share one database when a single node is no longer enough. The web interface speaks twelve languages, so a platform team spread across regions still works in one console. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

With over 4,300 GitHub stars and a v3 release adding built-in user management, team views, and multi-language support, Kubero has established itself as the most feature-complete open-source Heroku alternative running natively on Kubernetes. The platform operates as a Kubernetes operator with two containers — kubero-ui and the operator — storing all state in etcd without an external database. Developers push code via Git integration with GitHub, GitLab, Bitea, or Gitea, and Kubero automatically builds using Buildpacks, Nixpacks, Runpacks, or Dockerfiles, then deploys to the configured domain with SSL via cert-manager. CI/CD pipelines support up to four staging environments — review, test, staging, and production — with per-stage environment variable isolation and ephemeral review apps that spin up on pull request open and tear down on close. The template catalog includes over 170 pre-configured applications like WordPress, Grafana, and PostgreSQL deployable in one click, while managed add-ons provide highly available PostgreSQL, Redis, MySQL, Kafka, CouchDB, Elasticsearch, and MongoDB alongside your applications. Security features include Trivy vulnerability scanning, GitHub and OAuth2 single sign-on, basic auth, and a role-based permission system with API tokens. The NestJS backend with Vue.js and Vuetify frontend provides application metrics, real-time logs, a built-in web console for container access, scheduled cronjob management, and deployment notifications via Discord, Slack, or webhooks. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. GPL-3.0 licensed.

Private npm packages without shipping code to the public registry or paying for npm Enterprise: Verdaccio is the standard lightweight, zero-config private registry and caching proxy. It runs as a single Node.js process with its own tiny embedded database; no external database is required to start. Point npm, yarn, or pnpm at it and everything behaves as expected: install, publish, unpublish, dist-tags, and deprecation all work against the standard npm endpoints. The uplink system is where it earns its keep: packages not found locally are fetched from configured upstreams (npmjs.org, yarn, JFrog, Nexus, or another Verdaccio), cached as tarballs, and served locally thereafter - cutting CI latency and surviving registry outages. Multiple uplinks chain for failover, and per-package glob patterns in config.yaml route scopes to specific upstreams while controlling access, publish, and unpublish rights per group. You can even override a public package by publishing a patched version under the same name locally. A plugin architecture swaps in auth backends (htpasswd default, LDAP and others available), storage drivers (S3, Google Cloud Storage), middleware routes, and metadata filters. With official Docker images and a Kubernetes Helm chart, it slots into any pipeline in minutes.

With 37,400+ GitHub stars and active daily development by the Harness engineering team, Gitness is the open-source developer platform that ships Git hosting, container-native CI/CD pipelines, a Docker-compatible artifact registry, and cloud developer environments in a single Go binary consuming approximately 100 MB of RAM — compared to GitLab's 4+ GB minimum footprint. Born as the next generation of Drone CI, Gitness inherits Drone's battle-tested pipeline engine while adding complete source code management with pull requests featuring threaded code review comments, suggested changes, required reviewer approvals, and merge strategies including squash and rebase. Branch protection rules enforce mandatory pull requests, minimum peer reviews, passing status checks, and force-push blocking. Pipelines use Drone-compatible YAML syntax with stages, steps, and service containers, triggered automatically on code changes with results displayed directly in pull request checks. The built-in container registry eliminates the need for separate Harbor or Docker Registry deployments, supporting Docker image push and pull plus Helm chart storage. Gitspaces provide on-demand remote development environments configured via industry-standard devcontainer.json files. Encrypted secrets management with Gitleaks-powered secret scanning blocks commits containing hardcoded credentials. One-click migration imports existing GitHub Organizations and GitLab Groups, automatically converting GitHub Actions and GitLab CI pipelines to Gitness YAML. The REST API with OpenAPI specification enables programmatic management of all resources. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache 2.0 licensed.

Used by over 100,000 organizations and ranked first in the Gartner Magic Quadrant for DevOps Platforms, GitLab is the open-core DevSecOps platform that delivers the complete software development lifecycle — from planning and source code management through CI/CD, security scanning, and monitoring — in a single self-managed application. The built-in CI/CD engine executes pipelines defined in YAML with parallel jobs, directed acyclic graph scheduling, multi-project pipelines, and auto-scaling runners on Docker, Kubernetes, or bare metal. Merge requests provide inline code review with approval rules, code owners, merge trains for serialized merging, and five merge strategies including fast-forward and semi-linear history. The integrated container registry stores Docker images alongside code, while the package registry supports npm, Maven, NuGet, PyPI, Conan, Go, and generic packages. Issue boards with epics, milestones, and labels enable agile planning, while the built-in wiki and GitLab Pages provide documentation hosting and static site publishing. Security scanning in the Community Edition includes basic SAST, secret detection, and container scanning running as pipeline jobs. The Omnibus installer bundles Rails, Puma, Gitaly, Workhorse, Nginx, PostgreSQL, Redis, Sidekiq, and Prometheus into a single package installable in minutes, while Docker and Helm chart options support containerized and Kubernetes deployments. GitLab Duo AI assists with code suggestions, merge request summaries, and vulnerability resolution. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

With over 3,700 GitHub stars and growing adoption among teams tired of managing complex orchestration platforms, Dagu delivers a complete workflow engine as a single Go binary that requires no external database, message broker, or framework installation. Define directed acyclic graphs in declarative YAML — specifying dependencies, schedules, retries, timeouts, approvals, and notifications — while keeping existing shell scripts, containers, and tools completely unchanged. The built-in Web UI provides live pipeline visualization, per-step log streaming, run history browsing, artifact previewing, manual retry controls, and workflow YAML editing without SSHing into servers. Execute steps as shell commands, Docker containers, Kubernetes Jobs, SSH remote commands, SQL queries, or HTTP requests, with conditional branching and parallel execution handled natively. The integrated Model Context Protocol server exposes dagu_read, dagu_change, and dagu_execute tools, enabling AI agents like Claude, Codex, and Cursor to inspect workflow state, preview YAML modifications, and control runs through authenticated endpoints. The harness.run executor lets external coding-agent CLIs operate inside DAG steps with full scheduling and approval gate support. Scale beyond a single machine with the distributed worker mode, which dispatches tasks to remote nodes via gRPC with automatic label-based routing and worker selection. Deploy with Docker, the official Helm chart for Kubernetes, or a simple binary download requiring only a Linux, macOS, or Windows host. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. GPLv3 licensed.

One trusted home for every package your build pipeline consumes: kkRepo hosts, proxies, and groups artifacts for Maven, npm, PyPI, Docker and OCI, Helm, Cargo, Go, NuGet, Composer, Terraform, Conda, APT, Conan, RubyGems, Yum, and more than twenty formats in total. Point your existing Nexus clients at it and nothing changes, because repository domains, the /repository/ URL layout, and the permission model carry over, and a one-click migration moves hosted data while clients keep building. Upstream proxies can be tuned per repository with their own outbound proxy and credentials, group repositories present many sources as one endpoint, and cleanup policies retire old artifacts before disks fill. Every stored artifact can be scanned against known vulnerabilities with SBOM generation and download enforcement, while Local, LDAP, and OIDC sign-in with fine-grained permissions decides who may publish or pull. Prometheus metrics and ready Grafana dashboards show throughput and storage, and multi-replica deployments share state through MySQL or PostgreSQL with blobs in S3-compatible storage. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache 2.0 licensed.

The first container registry to reach CNCF graduated status with over 29,000 GitHub stars since VMware open-sourced it in 2016, Harbor transforms the basic Docker Distribution into a hardened enterprise registry with vulnerability scanning, supply chain signing, multi-datacenter replication, and project-level access control out of the box. Trivy scans every pushed image against the NVD, GitHub Advisory Database, and distribution-specific vulnerability feeds, with scan-on-push policies that block deployment of images exceeding configurable severity thresholds. Artifact signing through Cosign keyless signatures and Notation enforces content trust policies ensuring only cryptographically verified images reach production clusters. Policy-based replication synchronizes images and Helm charts between Harbor instances across multiple datacenters using repository, tag, and label filters with automatic retry and bandwidth throttling — enabling hybrid-cloud and disaster-recovery topologies. The RBAC model isolates projects with per-project quotas, robot accounts for CI/CD automation, webhook notifications, and audit logging that tracks every pull, push, delete, and configuration change. LDAP, Active Directory, and OIDC authentication integrate with existing identity providers, while the proxy cache transparently caches images from Docker Hub, Quay, and other upstream registries to reduce pull latency and rate-limit exposure. The RESTful API with embedded Swagger UI, tag retention policies, garbage collection scheduling, and immutable artifact rules complete the lifecycle management. Deploy via Docker Compose or Helm Chart on Kubernetes. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache 2.0 licensed.

Stormkit delivers a self-hostable PaaS that eliminates vendor lock-in while providing Vercel-class deployment workflows. The Go backend handles build orchestration, hosting, and background job processing while the React frontend provides a complete management dashboard for applications, environments, and team collaboration. Git integration with GitHub, GitLab, and Bitbucket enables push-to-deploy workflows where every commit triggers automated builds with preview links posted directly to pull requests. Serverless functions use filesystem-based routing — each TypeScript or Node.js file in the API directory becomes an endpoint automatically, deploying to AWS Lambda with configurable timeouts. PostgreSQL database schemas ship with automatic migrations, isolated credentials per environment, and secure environment variable injection preventing credential leakage between staging and production. Custom domains provision TLS certificates automatically through Let's Encrypt with support for custom certificates and headers. The environment system creates isolated deployment contexts for production, staging, and development with independent variables, domain bindings, and auto-publish rules per branch. Privacy-respecting server-side analytics track visitors, referrers, and top paths without client cookies or third-party scripts. Role-based access control manages team permissions across applications. Docker Compose deployment provisions the full stack including the API server, hosting service, build runner, and worker server. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

With 16,100 GitHub stars and created by Solomon Hykes (co-founder of Docker), Dagger eliminates proprietary YAML DSLs from CI/CD by letting developers write pipelines as real programs in their preferred language — then executing them identically on a laptop, in GitHub Actions, in GitLab CI, or on any machine with a container runtime. The BuildKit-based Dagger Engine runs every pipeline operation inside OCI containers, constructing a directed acyclic graph where each node is cached by default, parallelized automatically, and produces bit-for-bit reproducible outputs regardless of execution environment. Native SDKs generated from the GraphQL API schema provide Go, Python, TypeScript, PHP, Java, .NET, Elixir, and Rust developers with full type safety, IDE autocomplete, and the ability to unit-test CI pipelines using the same testing frameworks as application code. The module ecosystem enables cross-language composition where a Python team can invoke a Go team's build functions without learning Go, while filesystems, secrets, git repositories, and network tunnels are passed between functions as strongly-typed objects. Pipeline operations cache at container-layer granularity with content-addressed deduplication, and the interactive REPL enables step-by-step pipeline debugging with live container inspection. Host dependencies are explicit and strictly typed, eliminating implicit environment coupling that causes "works on my machine" failures. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache 2.0 licensed.

GoCD treats delivery as a pipeline you can see: every commit enters a sequence of stages, passes or fails in the open, and travels from first build to production deployment along one visible, traceable path. Stages split work into jobs that run in parallel on a fleet of agents, so unit tests, integration suites, packaging, and security scans finish together instead of queueing behind each other. Pipelines connect with fan-in and fan-out dependencies, meaning a release pipeline waits for every upstream component to pass before it assembles them, and one library build can feed a dozen services. The value stream map draws that whole web on one screen, from the triggering commit through every stage to deployment, and any run can be compared with another to spot exactly what changed. Materials watch Git, Subversion, or Mercurial repositories and start pipelines on new commits, while artifacts produced by one stage are fetched, versioned, and promoted by the stages after it. Environments group pipelines and agents so test and production stay isolated, resources tag agents by capability, and elastic agents appear on Docker, Kubernetes, or cloud hosts only while work exists. Pipeline definitions can live in YAML or JSON inside a repository, changing through code review like the software they deliver, and templates keep repeated release patterns consistent across teams. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache-2.0 licensed.

With nearly 14,000 GitHub stars and over 200 releases, Semaphore UI has established itself as the lightweight yet powerful alternative to enterprise automation platforms like Ansible AWX and Jenkins. Unlike AWX's heavyweight Kubernetes-dependent architecture, Semaphore ships as a single Go binary with zero external runtime dependencies — install it, run setup, and you have a production-ready automation server in minutes. The platform natively orchestrates Ansible playbooks, Terraform and OpenTofu infrastructure code, Terragrunt configurations, PowerShell scripts, Bash commands, and Python automation, all from a clean Vue.js web interface that displays task history, execution logs, and scheduling status at a glance. Semaphore supports concurrent task execution across multiple servers using distributed project runners, enabling horizontal scaling of automation workloads without complex clustering. The built-in inventory management system handles both static and dynamic inventory sources, while four-level RBAC (Owner, Manager, Task Runner, Guest) provides granular access control for team environments. Notifications flow to Slack, Microsoft Teams, Telegram, email, Rocket.Chat, and Gotify, keeping operators informed of failed tasks and deployment status. Integration with HashiCorp Vault secures sensitive credentials, and the comprehensive REST API with built-in Swagger documentation enables programmatic automation. Deploy via Docker Compose, Helm chart for Kubernetes, or native packages for Debian, Ubuntu, and RHEL-based distributions. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Artifact Keeper serves as a self-hosted universal software artifact repository that consolidates container images, application libraries, and infrastructure bundles under a unified management control plane. Software development teams can publish and resolve dependencies using their existing build tools, including Docker, Helm, npm, PyPI, Maven, Cargo, NuGet, and Terraform without installing proprietary client plugins. Remote repositories act as transparent pull-through caching proxies for public upstreams like Docker Hub and PyPI, accelerating internal CI/CD build speeds while insulating production pipelines from external registry outages. Virtual repositories combine multiple local, remote, and third-party endpoints into single URLs, resolving packages across prioritized internal teams and public registries automatically. Automated security scanners evaluate incoming packages for Common Vulnerabilities and Exposures using Trivy and Grype engines, assigning letter grades and enforcing quarantine policies to block vulnerable binaries before production release. Administrators can sign package metadata with cryptographic GPG keys, configure peer mesh replication across geographic regions, and manage team permissions using OpenID Connect, SAML, and granular access tokens. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Every Terraform change becomes a pull request with Atlantis, which runs the plan on your server, posts the output for review, and applies only the exact change reviewers approved. Open a pull request that touches Terraform code and Atlantis automatically runs terraform plan, posting the full output as a comment and a commit status your reviewers can inspect line by line. When the change looks right, a teammate comments atlantis apply and Atlantis executes the exact plan that was reviewed, then reports the result back on the same pull request. Each directory and workspace is locked while a pull request is open, preventing two changes from applying out of order, and locks can be inspected or discarded from the web interface. Apply requirements let you demand an approved review or a mergeable branch before anything runs, and optional policy checks evaluate plans against your rules before they can proceed. Repositories describe their projects, workspaces, and custom workflows in an atlantis.yaml file, including pinned Terraform versions, execution order groups, and parallel planning or applying across projects. Because Atlantis runs inside your infrastructure, cloud credentials never leave your network, and every plan, approval, and apply is preserved on the pull request as an audit trail. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache-2.0 licensed.

Trusted by millions of developers and integrated into CI/CD pipelines at organizations worldwide, Sonatype Nexus Repository is the industry-standard binary artifact repository manager that stores, organizes, and distributes software components across every major package ecosystem. Community Edition supports over 20 formats including Maven for Java builds, npm for JavaScript packages, Docker for container images, PyPI for Python libraries, NuGet for .NET assemblies, Helm for Kubernetes charts, Go modules, RubyGems, Cargo for Rust crates, Conda for data science environments, APT for Debian packages, Yum for RPM distributions, and Hugging Face for AI/ML models. Three repository types serve different needs: hosted repositories store internally-produced artifacts, proxy repositories cache remote registries like Maven Central, npmjs.org, and Docker Hub reducing bandwidth and improving build reliability, and group repositories aggregate multiple hosted and proxy repositories behind a single URL endpoint. The web UI provides component browsing and search, repository configuration, blob store management with configurable cleanup policies, and direct artifact upload via drag-and-drop. Role-based access control enforces fine-grained permissions per repository with configurable security realms, while the comprehensive REST API enables automated repository provisioning, component management, and integration with Jenkins, GitHub Actions, GitLab CI, and Azure DevOps. External PostgreSQL database support enables Kubernetes deployments with improved backup, restore, and horizontal scaling capabilities. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Eclipse Public License 1.0 licensed.

Trusted by over seven million developers worldwide with 310+ contributors and more than 10,600 GitHub stars since 2011, SonarQube has become the industry standard for automated code review and continuous code quality inspection. The platform performs deep static analysis across Java, JavaScript, TypeScript, Python, C#, C++, PHP, Kotlin, Go, Ruby, Swift, and 30+ additional languages, detecting bugs that cause runtime failures, security vulnerabilities exploitable by attackers, security hotspots requiring manual review, code smells degrading maintainability, and code duplications increasing technical debt. Quality Gates define pass-fail thresholds on metrics like coverage, duplications, reliability rating, and security rating, failing CI/CD pipelines when new code introduces issues below organizational standards. Pull request analysis decorates GitHub, GitLab, Bitbucket, and Azure DevOps merge requests with inline issue annotations and overall quality summaries before merging. Built-in quality profiles provide curated rule sets per language following the Sonar Way methodology, with dedicated profiles for AI-generated code that target patterns commonly introduced by agentic coding workflows. Infrastructure-as-Code analysis covers Terraform, Kubernetes, Docker, Ansible, CloudFormation, and Helm charts with supply-chain security rules for CI/CD pipelines. The companion IDE plugin delivers real-time analysis with quick-fix guidance directly in VS Code, IntelliJ, and Eclipse. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. LGPL-3.0 licensed.

Push to git, watch the deploy go live over HTTPS, and roll back in one click, all on servers you own: Levelrail is a self-hosted platform for running apps and databases without Kubernetes. Deploys start from GitHub, GitLab, Bitbucket, or Gitea webhooks and build from a Dockerfile, Compose file, image, or framework preset such as Next.js, Go, React, or Spring Boot, with preview environments per pull request, canary and blue-green rollouts, approvals, and freezes. Embedded Caddy gives every app a domain with HTTPS: self-signed by default, Let's Encrypt with one toggle, a free sslip.io address when no domain exists, or your own uploaded certificate. Provision Postgres, MySQL, MariaDB, MongoDB, Redis, ClickHouse, and more with scheduled backups that are re-downloaded and verified, Postgres point-in-time recovery, and password rotation. Metrics with deploy markers, searchable live logs, alerts, and a public status page need no separate monitoring stack. Roughly 360 one-click templates and a Cmd+K search across apps, databases, and nodes speed up daily work. Extra servers enroll with a one-time token and a reverse-dialed agent that needs no inbound ports. Sign in with passkeys, TOTP, OAuth from 20 providers, or OIDC, then scope access with IAM policies, encrypted secrets, and a tamper-evident audit log. A CLI, HTTP API, and MCP server let scripts and coding agents deploy and roll back. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache-2.0 licensed.

Tau delivers a complete self-hosted cloud platform where Git is the control plane and WebAssembly is the runtime. The Go binary deploys as interconnected nodes that form a P2P network using libp2p for automatic service discovery, eliminating Kubernetes entirely. Serverless functions compile to WebAssembly for secure multi-tenant execution with automatic horizontal scaling — write in Go, Rust, AssemblyScript, or C and deploy by pushing to Git. Branch-based environments map Git branches to isolated deployments, so staging and production run identical infrastructure from different refs. Static website hosting serves frontends with global distribution and automatic content-addressed deduplication via IPFS-derived storage. The built-in K/V database provides distributed storage with automatic replication across nodes, while object storage handles file management with content addressing. Pub/Sub messaging enables real-time communication between functions and external services including WebSocket support. Spore Drive automates multi-host deployment and rolling updates from a single command across bare metal or VMs running Ubuntu. The Dream CLI provides a complete local development environment that mirrors production exactly — same services, same routing, same deployment flow. Zero-configuration HTTPS provisions TLS certificates automatically for custom domains. The web console at console.taubyte.com provides visual project management, or use the tau CLI for Git-native workflows. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. BSD-3-Clause licensed.