Colima vs srelens
Colima
colima.runsrelens
srelens.comSide by side
| Figure | Colima | srelens |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | Yes |
| Web | — | Yes |
| Windows | — | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 1 | 1 |
| Spec score · Local Kubernetes Tools | 8.6 (#2) | 8.3 (#3) |
| License | Colima is released under the MIT License. | The source repository and project documentation identify srelens as MIT licensed. |
| Purpose | Colima provides container runtimes on macOS and Linux with minimal setup. | srelens is a Kubernetes desktop workspace for browsing, inspecting, and operating clusters. |
| Support | The project lists GitHub Discussions, GitHub Issues, announcements, and a #colima channel in CNCF Slack as community channels. | The documentation directs users to open a GitHub issue with safely shareable application log details for reproducible bugs. |
Plans
In their own words
Colima
Colima runs container environments on macOS and Linux, with Docker, containerd, Kubernetes and Incus runtime options. Docker compatibility is intended to let existing Docker workflows and tools continue without changes; containerd users can use nerdctl for a Docker-like command line. It can launch a local, single-node k3s cluster, and users can select an exact K3s version. CPU, memory and disk allocations are configurable, and multiple isolated instances can run with different settings. Colima also documents GPU-accelerated AI workloads on Apple Silicon using Krunkit, with model runners supporting Docker AI Registry and HuggingFace; Ramalama also supports Ollama registries. Those workloads require Apple Silicon, macOS 13 or newer, and Krunkit, with at least 8 GB of RAM recommended. The AI containers are isolated from the host filesystem, other containers and network access unless network access is enabled. Colima is free and MIT-licensed, with installation options for macOS and Linux. Incus virtual machines require m3 or newer Apple Silicon.
srelens
srelens is a Kubernetes desktop workspace for browsing, inspecting, and operating clusters. It covers more than 40 resource kinds, including workloads, networking, storage, RBAC, admission, autoscaling, and custom resources. Investigation tools include live watches, log streaming, in-pod terminals, port forwarding, Helm release views, and a schema-aware YAML editor. CPU and memory metrics for nodes and pods come through Kubernetes Metrics Server. Users can scale or restart workloads and cordon, drain, or evict nodes; destructive actions require confirmation. The desktop app connects directly to Kubernetes API servers using local kubeconfig credentials, without an intermediary srelens cloud service. Available operations depend on the selected context’s credentials and RBAC permissions. Added kubeconfig files stay local, and pasted configs are stored in the application directory. Secret values are masked by default and revealed per key. The built-in MCP server connects to clients such as Claude Code, Claude Desktop, Cursor, and Codex. srelens is free, open source under the MIT license, and requires no account or license key.