How Radar compares to the tools you already run.
These tools each established an important way to work with Kubernetes. Radar is the modern default: a polished UI built for desktop and local use, shared operations, fleets, and AI agents in one integrated model. These comparisons show the narrower requirements where another tool may still be the right choice, and mark those wins directly.
What are you actually choosing for?
Start with the requirement that changes the answer: overall capability, continuity, terminal speed, governance, or an existing product investment.
Best overall Kubernetes UI
Radar
A polished desktop app plus local browser, in-cluster, and Cloud delivery - backed by one integrated operational model.
Best way to connect AI agents to Kubernetes
Radar MCP
Give external agents structured diagnosis, topology, resource, GitOps, and operational context instead of raw YAML alone.
Closest continuation of Lens
Freelens
Choose it when preserving Lens desktop workflow, muscle memory, and extension compatibility matters more than changing the model.
Fastest terminal-only loop
k9s
Choose it for a keyboard-first TUI on one active cluster. Add Radar when you need relationships, evidence, agents, or sharing.
Vendor-neutral SIG governance
Headlamp
Choose it when kubernetes-sigs stewardship or hosting arbitrary custom UI plugins is a non-negotiable requirement.
Existing Lens-specific investment
Lens
Choose it when your team is already committed to Lens extensions, Teamwork, licensing, or established desktop workflows.
Where the product models differ.
Delivery, AI access, retained evidence, collaboration, and fleet scope - the dimensions that change how the tool works day to day.
| Feature | Radar | Lens | Freelens | k9s | Headlamp |
|---|---|---|---|---|---|
Open source core | Yes | No | Yes | Yes | Yes |
Desktop app | macOS · Linux · Windows | Yes | Yes | No | Yes |
MCP endpoint for external AI agents | Correlated read + write tools | Read-only kubectl + PromQL | In-app client only | No | In-app client only |
Free forever tier | OSS unlimited · Cloud 3 clusters | Personal · eligibility limits | Yes | Yes | Yes |
Multi-cluster view | Cloud fleet | Desktop + Teamwork | Catalog, one at a time | No | Dropdown + compare |
Retained event + change history | Local or Cloud · up to 1 year | No | No | No | No |
Team collaboration | In-cluster / Cloud | Teamwork plans | No | No | Shared instance |
SSO (SAML/OIDC) | In-cluster OIDC / Cloud | Organization plans | No | No | OIDC only |
Pricing model | Per cluster | Per user | Free | Free | Free |
Open source core
- Radar
- Yes
- Lens
- No
- Freelens
- Yes
- k9s
- Yes
- Headlamp
- Yes
Desktop app
- Radar
- macOS · Linux · Windows
- Lens
- Yes
- Freelens
- Yes
- k9s
- No
- Headlamp
- Yes
MCP endpoint for external AI agents
- Radar
- Correlated read + write tools
- Lens
- Read-only kubectl + PromQL
- Freelens
- In-app client only
- k9s
- No
- Headlamp
- In-app client only
Free forever tier
- Radar
- OSS unlimited · Cloud 3 clusters
- Lens
- Personal · eligibility limits
- Freelens
- Yes
- k9s
- Yes
- Headlamp
- Yes
Multi-cluster view
- Radar
- Cloud fleet
- Lens
- Desktop + Teamwork
- Freelens
- Catalog, one at a time
- k9s
- No
- Headlamp
- Dropdown + compare
Retained event + change history
- Radar
- Local or Cloud · up to 1 year
- Lens
- No
- Freelens
- No
- k9s
- No
- Headlamp
- No
Team collaboration
- Radar
- In-cluster / Cloud
- Lens
- Teamwork plans
- Freelens
- No
- k9s
- No
- Headlamp
- Shared instance
SSO (SAML/OIDC)
- Radar
- In-cluster OIDC / Cloud
- Lens
- Organization plans
- Freelens
- No
- k9s
- No
- Headlamp
- OIDC only
Pricing model
- Radar
- Per cluster
- Lens
- Per user
- Freelens
- Free
- k9s
- Free
- Headlamp
- Free
Published · Last updated .
Pick the tool you're weighing. Read the detailed take.
Radar vs Lens
Desktop IDELens K8S IDE is a mature Electron-based desktop product with extensions, Teamwork, and an MCP server. Radar also ships a desktop app, while its Go engine runs locally, in-cluster, or through Cloud as one integrated operational model.
Choose Lens when an existing Lens extension, Teamwork deployment, or desktop workflow is the hard requirement. Choose Radar for the broader integrated model.
Radar vs k9s
Terminal CLI · Open sourcek9s is an open-source, keyboard-first Kubernetes TUI. It is excellent for a fast terminal loop. Radar adds visual relationships, retained change evidence, integrated controllers, MCP, and team or fleet workflows.
Use k9s when terminal-only speed is the requirement. Use Radar for the broader operational model - locally, on desktop, in-cluster, or across a fleet.
Radar vs Headlamp
CNCF Sandbox · Apache 2.0Headlamp is an extensible Kubernetes UI under kubernetes-sigs. Its plugin SDK supports arbitrary additions. Radar takes a more integrated approach: typed capabilities share one model across Issues, topology, timeline, GitOps, traffic, audit, and MCP.
Radar provides greater integrated operational depth out of the box. Choose Headlamp when vendor-neutral SIG governance or hosting custom UI plugins is the deciding requirement.
Radar vs Freelens
Community Lens fork · MITFreelens is the community fork of Open Lens - the Lens desktop experience, free, MIT licensed, no account. Actively maintained by an independent core team, with official and community extensions.
Choose Radar for the broader integrated operational model. Choose Freelens when the closest possible continuation of the Lens workflow is the priority.
Comparing the whole field at once?
The six real options for teams leaving Lens - including where each one beats us.
The official Dashboard was retired in January 2026. What replaces it, including the official pick.
All seven tools ranked by use case - k9s, Radar, Headlamp, Lens and the rest, with where each one wins.
What's in OSS vs what Radar Cloud adds.
A line-by-line matrix of what's in the free, Apache 2.0 Radar OSS vs what hosted Radar Cloud adds on top.
Radar OSS vs Radar CloudComparison done. Time to try.
Apache 2.0 OSS or hosted free for 3 clusters. Install in 60 seconds.
Apache 2.0 OSS · Unlimited clusters self-hosted · Hosted free tier for up to 3 clusters