7 open source tools compared. Sorted by stars. Scroll down for our analysis.
| Tool | Stars | Velocity | Score |
|---|---|---|---|
Dive Explore layers in a Docker image | 54.0k | +22/wk | 86 |
Portainer Docker and Kubernetes management UI | 37.5k | +39/wk | 81 |
Colima Container runtimes on macOS with minimal setup | 29.0k | +117/wk | 81 |
Harbor Trusted cloud native container registry | 28.5k | +38/wk | 83 |
podman-desktop Podman Desktop is the best free and open source tool to work with Containers and Kubernetes for developers. Get an intuitive and user-friendly interface to effortlessly build, manage, and deploy containers and Kubernetes — all from your desktop. | 7.6k | +4/wk | 75 |
lxd Powerful system container and virtual machine manager | 4.8k | +6/wk | 67 |
smolvm Tool to build & run portable, lightweight, self-contained virtual machines. | 3.3k | +25/wk | 71 |
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Discord.js is the most popular Node.js library for building Discord bots, wrapping Discord's API into an object-oriented interface with full TypeScript support. It's a terminal UI that lets you browse every file in every layer of a Docker image, see what was added/modified/removed, and spot wasted space. MIT license, written in Go. Run `dive your-image:tag` and get an interactive view: layers on the left, filesystem on the right. It highlights files that exist in one layer but get deleted in a later one (wasted space). Shows you the efficiency score of your image. Works in CI too. Set a threshold and fail the build if the image is too bloated. Fully free. Single binary, no paid tier, no service component. Every developer who builds Docker images should have this installed. The insight is immediate. You'll find multi-megabyte temp files, package manager caches, and build artifacts sitting in intermediate layers that you thought your `RUN rm` cleaned up (it didn't; each layer is immutable). The catch: Dive shows you the problem but doesn't fix it. You still need to restructure your Dockerfile: multi-stage builds, combined RUN commands.dockerignore. And the TUI can be slow on very large images (5GB+). But for diagnosing bloat, nothing else comes close.
Portainer gives you a web UI for container management, especially useful when your team includes people who shouldn't need to SSH into servers. Deploy, stop, restart, inspect logs, manage volumes and networks, all from a browser. Supports Docker standalone, Docker Swarm, and Kubernetes. The Community Edition (CE) is free and covers single-environment management with full container lifecycle controls, image management, and stack deployment via docker-compose. Business Edition starts at $5/node/month (minimum 5 nodes, annual billing). Adds RBAC, registry management, GitOps deployments, multiple environment management from one dashboard, and support SLA. Enterprise: custom pricing with SSO, audit logging. Solo developers: CE is perfect. Managing a few Docker hosts through a web UI instead of SSH makes life better. Small teams: CE still works: one environment, full access for everyone. Medium teams: Business Edition at $5/node/mo when you need RBAC (who can deploy to production vs staging) or centralized management of multiple environments. Large orgs: Enterprise for SSO and audit trails. The catch: Portainer CE is limited to managing one environment at a time. If you have staging + production + dev, the free tier makes you switch between them. Business Edition connects them all in one dashboard. Also, experienced Docker/K8s users often find the UI slower than CLI; Portainer is most valuable for mixed teams where not everyone lives in the terminal.
That's it. Docker, containerd, and Kubernetes, running on your Mac without the Docker Desktop license headache. (one of the fastest in this batch), MIT license, Go. Uses Lima (Linux virtual machines on macOS) under the hood. Supports Docker and containerd runtimes, Kubernetes via k3s, volume mounts, port forwarding, and custom VM resources. Works on both Intel and Apple Silicon. Fully free. No paid tier, no license restrictions. Docker Desktop requires a paid subscription for companies with 250+ employees or $10M+ revenue. Colima has no such restriction. Every Mac developer who uses Docker: try this. Solo: `brew install colima && colima start` and you're running containers. Small to large teams: eliminates Docker Desktop licensing entirely. The only question is compatibility. The catch: it's a VM-based approach, so file system performance on mounted volumes is slower than native. Some Docker Desktop features (the GUI, Extensions, Dev Environments) don't exist. If you rely on Docker Desktop's graphical interface, you'll miss it. And edge cases with networking or volume mounts occasionally require troubleshooting that Docker Desktop handles silently.
Harbor is an enterprise-grade container registry you host yourself. Harbor does what Docker Hub does, but on your infrastructure. Push images, pull images, scan them for CVEs (Trivy integration), sign them (Cosign/Notary), replicate them across registries, and control who can access what with RBAC. It's a CNCF graduated project used by serious Kubernetes operations. This is production infrastructure, not a toy. Completely free. Apache 2.0 license. No paid tier. Small teams running Kubernetes in production who need image security (vulnerability scanning, access control) should seriously consider Harbor. The alternative is trusting Docker Hub or paying for a cloud registry. The catch: Harbor is not lightweight. It runs PostgreSQL, Redis, and several microservices. Minimum recommended is 4 GB RAM and 2 CPUs. Setup is doable with Docker Compose or Helm, but maintaining it (backups, upgrades, storage management) is real ops work.
Podman Desktop is the open source answer to Docker Desktop. Apache 2.0, no license fee, no user-count tripwire that converts your free install into an invoice once your company hits 250 employees. It manages containers, pods, images, and volumes from a GUI, and it can drive Podman, Docker, Lima, and CRC engines all from the same dashboard. Setup is a regular installer on macOS, Windows, or Linux. You don't run a service. The container engine sits behind it the same way Docker Desktop does, and the extensions marketplace lets you bolt on things like Kubernetes integration, Compose support, or registry tools as you need them. For solo developers and small teams Docker Desktop's free tier still works, but the moment your company crosses Docker's commercial threshold the calculus changes fast. Large teams: this is the free way out, and Red Hat keeps it well maintained. Worth installing on a new machine even if you're still on Docker Desktop, just to see if it sticks. The catch: a few corners feel less polished than Docker Desktop, especially around Compose workflows and some Windows-specific edges. If your team lives in docker-compose all day, expect a brief adjustment period.
LXD is Canonical's system container and VM manager. Unlike Docker, which runs single-process application containers, LXD runs full Linux system containers that behave like lightweight VMs. The same tool also manages real KVM virtual machines through the same API. Apt-installable on Ubuntu, available everywhere else through snaps. Day-to-day, LXD is solid. Profile-based configuration, storage pools (ZFS, LVM, btrfs, dir), software-defined networking via OVN, snapshots, and live migration. The CLI is consistent and the REST API is well-documented. Clustering is built in for multi-host setups. Solo developers and homelabs run LXD without thinking about it. Teams should pause: in 2023 Canonical relicensed LXD to AGPL-3.0 and pulled it under a contributor license agreement, which prompted the original maintainers to fork the project as Incus under the Linux Containers umbrella. Incus is Apache 2.0, accepts external contributions on equal terms, and tracks LXD feature-for-feature. The catch is the governance, not the code. If you are picking a system container manager in 2026, look at Incus first. LXD still works fine, but the license posture and the loss of the original maintainer team are reasons most production deployments are migrating off it.
smolvm runs Linux microVMs on your laptop with hardware isolation. Apache 2.0, sub-second cold start, single-binary CLI. Pull any OCI image (Docker Hub, ghcr.io, no Docker daemon required), boot it as a tiny VM with its own kernel, run code in it, throw it away. The pitch: containers share your kernel; this doesn't. Real boundary. macOS uses Hypervisor.framework, Linux uses KVM. Network is off by default and you whitelist hosts explicitly. SSH agent forwarding works without leaking your keys into the guest. The 'pack into portable executable' feature creates a self-contained binary with the VM baked in, no install step on the target machine. Anyone running untrusted code (AI agent outputs, user-submitted snippets, build steps that pull random dependencies): this gives you a real isolation boundary, not the container kind. Local development with reproducible Smolfile configs: also good. Production workloads at scale: you want Firecracker or libkrun directly. It's local-only and the project is young. The 'pack into binary' workflow is the differentiator, and it depends on libkrunfw, a custom kernel. If that stops getting maintained, the killer feature stops working.