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Podman Desktop - An open source graphical tool for developing on containers and Kubernetes

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Updated: 2026-09-27 16:52 Language: English (default) Access: Normal

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What is Podman Desktop?

Podman Desktop is a free, open-source graphical application for working with containers and Kubernetes on your own machine. Instead of typing podman or docker commands for routine tasks, you get a desktop UI for creating, inspecting, starting, stopping and deleting containers, and for managing the images and registries they come from. It is positioned as a vendor-neutral tool for developers, available for Linux, macOS and Windows.

What it covers

  • Container management: build, run, debug and remove containers and images through a visual interface rather than scripts.
  • Kubernetes workflows: it is designed around Kubernetes as well as plain containers, so you can move from local development toward production-style workloads.
  • Standards compatibility: it works with OCI container standards and Compose, which matters if you already have existing images, Compose files or CI pipelines you don't want to rewrite.
  • Multiple runtimes and registries: it integrates with common container runtimes and registries, so it can sit in front of tooling you already use rather than replacing it.

Who it suits

The clearest fit is a developer on a laptop who wants containers for local development but doesn't want to memorise CLI flags or hand-edit configuration files. It is also a reasonable choice if you care about open governance and avoiding lock-in: the project describes itself as community-driven and vendor-neutral, and notes its place in the CNCF ecosystem.

A less obvious fit is someone coming from Docker Desktop who wants a similar graphical experience but with a different runtime underneath. Because Podman emphasises daemonless, rootless operation and SELinux support, the security model differs from a traditional always-running daemon — useful if you run untrusted or third-party images, though rootless setups can occasionally need extra configuration for ports or volumes.

Trade-offs to weigh

Consideration What it means in practice
Graphical convenience Faster for everyday tasks, but advanced or unusual configurations may still send you to the terminal
Security model Rootless, daemonless design is a genuine advantage; expect a slightly different mental model if you're used to a daemon
Standards support OCI and Compose compatibility reduce migration pain, but very Docker-specific tooling may still need adjustment
Cross-platform Consistent experience on Linux, macOS and Windows, though container behaviour always depends on the host OS

A practical next step

If you want to judge it quickly, pick one small project you already run in containers — a database plus a web app, for example — and try doing the whole loop in the GUI: pull the image, start the container, check logs, open a shell, then stop and remove it. If that loop feels natural and your existing Compose file works unchanged, it will likely fit your daily workflow. If you find yourself dropping to the CLI for most steps, the graphical layer may not be earning its place for you.

You can read more or download it at Podman Desktop.

How do I install Podman Desktop on Windows, macOS, or Linux?

Podman Desktop is distributed as a desktop installer for each of the three major platforms, so installation is closer to installing a normal application than setting up a command-line toolchain. Download the package for your operating system from the official site, run the installer, and launch the app; the first run will guide you through any remaining setup.

Podman Desktop

What to expect per platform

  • Windows: Download the Windows installer and run it like any other desktop app. After launching, Podman Desktop will help you set up a container engine (a Podman machine) because Windows doesn't run Linux containers natively.
  • macOS: Download the macOS build (pick the version matching your chip, Apple silicon or Intel) and drag it into Applications. As on Windows, the first launch typically creates a Podman machine to host the Linux container runtime.
  • Linux: Install the package for your distribution, then launch Podman Desktop from your application menu. Linux can run Podman natively, so you may not need a separate virtual machine.

A useful next step

If you're unsure whether the app is working, open a terminal and run podman run hello-world (or use the "Hello World" style sample in the interface). If that succeeds, your engine, machine and CLI are all wired together, and you can move on to pulling images or starting a Kubernetes context.

Choosing your path

Situation Practical approach
You want a visual overview of containers, images and pods Install the desktop app and use its dashboard
You mainly script in CI or on servers Install the Podman CLI only; the GUI adds little there
You already use another container tool Podman Desktop can sit alongside it, since it works with standard OCI images and Compose files

The main trade-off is that on Windows and macOS you're running a lightweight Linux VM behind the scenes, which costs some memory and disk space but gives you a consistent Linux container environment.

How does Podman Desktop differ from Docker Desktop for local container development?

Podman Desktop and Docker Desktop both give you a graphical way to build, run and manage containers locally, but they differ in architecture, licensing posture and how tightly they tie you to one vendor's ecosystem.

The most consequential difference is the runtime model. Podman is daemonless and emphasises rootless containers, so there is no always-running background service mediating your container operations and containers can run without root privileges. Docker Desktop relies on a daemon-based architecture and, for many users, a virtualised Linux environment. In practice this affects startup behaviour, how processes appear on your host, and the security posture of your local setup.

A second difference is licensing and governance. Podman Desktop presents itself as a free, open source, community-driven and vendor-neutral project, associated with the CNCF. Docker Desktop is a commercial product with paid tiers for larger organisations. If your team cares about avoiding per-seat commercial terms or vendor lock-in, that distinction matters more than any single feature.

Where each tends to fit

Consideration Podman Desktop Docker Desktop
Runtime model Daemonless, rootless focus Daemon-based
Governance Open source, community-driven, vendor-neutral Commercial product with paid tiers
Standards OCI and Compose compatibility OCI and Compose, plus its own tooling
Kubernetes Native Podman Kubernetes support plus local clusters Built-in local Kubernetes
Typical appeal Teams wanting open source and no lock-in Teams already standardised on Docker tooling

What this means for a real workflow

Imagine you maintain a Compose file for a small web app with a Postgres service. On either tool you can bring that stack up from a GUI, inspect logs and open a shell in a container. The practical divergence appears when you need rootless execution for compliance reasons, when you want to avoid a background daemon, or when your organisation is auditing software licensing. Conversely, if your CI pipelines, internal docs and colleagues all assume Docker commands and Docker Hub, staying with Docker Desktop reduces friction.

A sensible next step: list the constraints that actually bind you — rootless requirement, licensing policy, existing CI commands, and whether you need a local Kubernetes cluster. Then try the same Compose project in both tools for a day. If your workflow runs unchanged and your policy constraints are satisfied, the decision usually comes down to governance rather than features.

You can review the project's own positioning at Podman Desktop and compare it with Docker.

Can Podman Desktop manage Kubernetes clusters and deploy workloads from my local machine?

Yes. Podman Desktop is built to handle both containers and Kubernetes from your local machine, so you can use it as a single graphical starting point instead of juggling separate CLIs and dashboards.

What it does for Kubernetes

  • It supports Podman's native Kubernetes capabilities, so you can work with Kubernetes resources locally without switching tools.
  • It provides a graphical interface for managing containers and Kubernetes workflows, which reduces the need for manual scripting.
  • It is designed to help you move from local development toward production, so the same workflows can scale beyond your laptop.

How deployment typically works A developer building a small service might create a container image, run it locally, then apply a Kubernetes manifest to a local cluster — all from the Podman Desktop interface. Because it supports industry standards like OCI and Compose, existing container images and Compose files usually work without major changes. This matters if you already have a workflow you don't want to rebuild.

Practical trade-offs

  • The main draw is a vendor-neutral, community-driven tool under the CNCF, which reduces lock-in.
  • Security is a stated focus: daemonless, rootless containers, SELinux support and network policy enforcement.
  • Cross-platform support covers Linux, macOS and Windows, so the experience is consistent across operating systems.
  • The trade-off is that a graphical tool can hide some cluster details; for advanced or production-grade cluster administration you may still need command-line tooling.

If you want to try it, start by running a single local workload through the interface, then apply a simple manifest to confirm your Kubernetes workflow behaves as expected before scaling up.

How do I use Podman Desktop to run rootless containers securely without a daemon?

Podman Desktop is a graphical front end for a daemonless, rootless container engine, so "securely without a daemon" is largely the default posture rather than a special mode you configure. You install it, and containers run as your normal user through Podman's rootless model — there is no long-running root daemon sitting between you and the containers.

What that means in practice

  • No daemon to start or secure. With a daemon-based engine, a background service runs as root and every client talks to it over a socket, which becomes a privileged attack surface. Podman runs containers as child processes of your user session, so each run is a short-lived process.
  • Rootless by default. Containers map your unprivileged user into the container via user namespaces, so a process escaping the container still lands as a normal user on the host, not root.
  • The GUI is a convenience layer. Podman Desktop's Podman Desktop interface lets you pull images, start/stop containers, inspect logs, and open terminals without memorizing CLI flags — the underlying engine behavior is unchanged.

A concrete workflow

  1. Install Podman Desktop for Linux, macOS, or Windows. On macOS and Windows it provisions a small Linux VM (since containers are Linux processes), but the rootless, daemonless model still applies inside it.
  2. Open the Containers view, pull an image such as docker.io/library/nginx, and click Run. Leave the default (non-privileged) settings.
  3. Verify from a terminal: podman info should show rootless: true, and podman ps shows your container. If rootless is false, you are likely running as root or the user namespaces are disabled.
  4. Harden further where it matters: drop capabilities (--cap-drop=all), set a read-only root filesystem, and avoid --privileged. Podman's SELinux labeling handles volume access on Fedora/RHEL-family systems.

Trade-offs to expect

Aspect Rootless, daemonless (Podman) Root daemon (typical Docker setup)
Attack surface Smaller; no root socket Larger; root daemon socket
Binding low ports (<1024) Needs a tweak or a proxy Straightforward
Networking complexity Slightly higher (slirp/pasta) Simpler defaults
Auto-start on boot Less natural Built-in service

Where to go next

If you are coming from Docker, the smoothest path is to keep your Dockerfile and Compose files as-is — Podman supports OCI images and Compose — and just point the CLI at Podman. Read the official docs at Podman Desktop or the engine docs at Podman for the rootless networking and low-port details, since those are the two areas where rootless behavior most often surprises newcomers.

What container runtimes, registries, and developer tools does Podman Desktop integrate with?

Podman Desktop is designed to plug into the container tooling you already use rather than replace it. The product page states that it integrates with popular container runtimes, registries and developer tools, and that it supports industry standards such as OCI and Compose. It also describes native Kubernetes support, so you can work with Kubernetes without leaving the app.

What the page confirms

  • Container runtimes: "integrating with popular container runtimes" — the page does not name specific ones.
  • Registries: "integrating with popular container runtimes, registries, and developer tools" — again, no named registries.
  • Developer tools: no individual tools are named; the page frames this as part of its productivity pitch.
  • Standards: OCI and Compose compatibility, which matters if you want to keep existing images and Compose files.
  • Kubernetes: built with Kubernetes at its core, including Podman's native Kubernetes support.

Practical reading

For a developer, this means the integration story is broad but not itemised on the page. If your workflow depends on a specific registry (for example, a private company registry) or a particular runtime, treat that as something to verify against the documentation rather than assume. The OCI and Compose support is the more concrete signal: it suggests your existing image and Compose workflows should carry over without retooling.

If you want the exact list, the next step is the documentation linked from Podman Desktop; the product page itself stays at the level of "popular runtimes, registries and developer tools."

Related questions

More questions →
What Are Open-Source UI Element Libraries and How Do They Differ From UI Frameworks?

An open-source UI element library is a collection of individual, ready-made interface pieces—buttons, cards, inputs, toggles, loaders—that you copy into your own project and adapt. A UI framework, by contrast, is a structured system of components, conventions, and often a theming layer that governs how your whole interface is built. The practical difference: an element library gives you a snippet; a framework gives you a way of working. If you need a polished button in ten minutes, reach for the element library. If you're building a 40-screen product with a team, you probably want the framework.

What "open-source UI element library" actually means

The term gets used loosely, so it helps to separate the parts:

  • Open-source: the code is publicly available, and the license tells you what you may do with it—copy, modify, redistribute, or use commercially.
  • UI element: a single, self-contained piece of interface, usually small enough to read in one sitting. A button with hover states, a pricing card, a search field.
  • Library: a browsable, searchable collection of those elements, typically contributed by many different people.

On a site like Uiverse, elements are shared by a community and written in plain CSS or Tailwind. You find one you like, copy the markup and styles, paste them into your project, and adjust colors, spacing, and text to fit. There's no package to install and no build step required—which is exactly the appeal, and also the source of most of the confusion.

Element library vs. UI framework: the core differences

Dimension Open-source UI element library UI framework / design system
Unit of reuse A single snippet you copy A component you import or call
Installation None; paste into your code Package install, config, sometimes a provider
Consistency Depends on you; each element may look different Enforced by shared tokens and APIs
Theming Manual edits per element Central theme/config file
Updates You own the copy; no upstream updates Version bumps bring fixes and changes
Accessibility Varies per contributor; must be checked Usually tested and documented
Best for Prototypes, landing pages, small sites, one-off needs Multi-page apps, teams, long-lived products
Learning curve Low—read the CSS Higher—learn the API and conventions

The table isn't a verdict. It's a map of trade-offs. Element libraries win on speed and freedom; frameworks win on consistency and maintenance.

Licensing and attribution: what to check before you paste

This is where people get into trouble, and it's worth slowing down for.

  1. Find the license. Every element or collection should state one. Common open-source licenses include MIT, Apache-2.0, and BSD. Some projects use copyleft licenses like GPL, which can impose obligations if you redistribute your code.
  2. Understand what the license permits. MIT and Apache-2.0 are permissive: you can typically use the code in commercial and closed-source projects. Copyleft licenses may require you to release derivative source under the same terms.
  3. Check attribution requirements. Permissive licenses usually require you to keep the copyright notice and license text somewhere in your project. That's a real obligation, not a formality.
  4. Look for per-element terms. On community sites, the site's overall terms and the individual contributor's stated wishes may differ. If a contributor asks for credit, honor it.
  5. When in doubt, ask or avoid. If a snippet has no license at all, you don't have clear permission to reuse it. Treat "no license" as "not open source," even if the code is publicly visible.

This article is general information, not legal advice. For commercial products with real exposure, have someone qualified review the licenses you're relying on.

How to use a community element in your project: a practical workflow

Here's a repeatable process that avoids most of the usual mess.

1. Start from a real need, not a browsing session

Decide what you need first—"a compact primary button with a loading state"—then search. Browsing aimlessly produces a pile of pretty snippets that don't fit together.

2. Copy the smallest version that works

Take the markup and the styles. Strip anything you don't need: demo wrappers, extra animations, decorative layers. Less code means fewer surprises.

3. Convert it to your conventions

If your project uses design tokens or CSS variables, replace hard-coded values:

/* Before: hard-coded */
.button { background: #4f46e5; border-radius: 8px; }

/* After: token-based */
.button { background: var(--color-primary); border-radius: var(--radius-md); }

This one step is what keeps a copied element from looking like a foreign object in your UI.

4. Check accessibility before you ship

Community elements vary widely here. Verify at minimum:

  • Keyboard focus is visible and the element is reachable by Tab.
  • Color contrast meets WCAG AA (4.5:1 for normal text).
  • Interactive elements use semantic HTML (<button>, not a clickable <div>).
  • Form inputs have associated labels.
  • Motion respects prefers-reduced-motion.

5. Test in context

Paste it into a real page with real content. Long labels, small screens, and dark mode break more copied elements than anything else.

6. Note where it came from

Keep a short comment or an internal credits file: source, license, date. Future you—and your legal reviewer—will be grateful.

Where element libraries genuinely shine

  • Prototypes and demos: you need something clickable today, not a design system.
  • Landing pages and marketing sites: a handful of distinctive elements, each custom.
  • Filling gaps: your framework lacks one specific component, and you don't want to build it from scratch.
  • Learning: reading well-made CSS is one of the fastest ways to improve.
  • Small projects: a personal site doesn't need a theming architecture.

Where they fall short

  • Consistency at scale: ten elements from ten contributors rarely look like one product.
  • Maintenance: you own every copy. When your design changes, you edit each one.
  • Accessibility debt: you inherit whatever the contributor did or didn't do.
  • No upstream fixes: a bug fixed in the original won't reach your copy.
  • Integration friction: different naming conventions, different units, different assumptions about resets.

When to choose which

Choose an element library when the scope is small, the timeline is short, or you need a few distinctive pieces rather than a whole system.

Choose a framework or design system when multiple people build multiple screens over months, when consistency is a product requirement, or when accessibility and theming need to be guaranteed rather than checked.

A hybrid works well for many teams: adopt a framework for the structural components—forms, navigation, layout—and borrow individual elements for the places where you want personality. Just route every borrowed element through the same token and accessibility checks, so it lands as part of your system rather than beside it.

The short version: open-source UI element libraries are a fast, flexible way to get good-looking interface pieces into a project. They are not a substitute for a design system, and the license and accessibility details are the part worth reading carefully.

What Can You Actually Do With a Free Hosted REST API Like ReqRes?

A free hosted REST API like ReqRes gives you a real HTTP endpoint you can call immediately—no signup, no local server, no database setup. You get predictable JSON responses for users, resources, login, and registration, which makes it useful for front-end demos, integration tests, learning HTTP clients, and prototyping. What it is not is a production backend for your app: the data is shared, resets periodically, and you don't control the schema. If you need persistent, private data with auth and logs, that's where an account-based backend or a commercial licence comes in.

What "free REST API for testing and prototyping" actually means

The phrase sounds vague, so it helps to separate two things people often conflate:

  • A mock/sample API — a public, hosted service with fixed or semi-fixed endpoints that return realistic-looking JSON. You don't own the data. It exists so you can point code at a URL and get a response.
  • A real backend you configure — a service where you define collections, schemas, authentication, and logging, and where your data persists and belongs to you.

ReqRes's landing page describes both: a free REST API for testing and prototyping with real responses and no signup, plus an option to build your own backend with collections, auth, and logs at app.reqres.in. Those are different products with different trade-offs. The free public endpoints are the "point and go" part; the account-based backend is the "own your data" part.

What you can do with the no-signup public endpoints

1. Front-end demos without a backend

If you're building a UI and need data to render, you can fetch from a public endpoint instead of hardcoding arrays. This keeps your demo code closer to real fetch logic:

async function loadUsers(page = 1) {
  const res = await fetch(`https://reqres.in/api/users?page=${page}`);
  if (!res.ok) throw new Error(`HTTP ${res.status}`);
  const { data, total, page: current } = await res.json();
  return { users: data, total, page: current };
}

You get pagination fields, a data array, and support metadata—enough to build list views, loading states, and empty states.

2. Integration and contract tests

You can assert that your HTTP layer handles status codes, headers, and JSON shapes correctly. Typical checks:

  • GET /api/users/2 returns 200 with a data object.
  • GET /api/users/23 returns 404 (a non-existent user).
  • POST /api/login with valid credentials returns a token; with missing fields returns 400.

This is useful for testing your client wrapper, retry logic, error handling, and serialization—without spinning up your own server.

3. Learning HTTP clients and tooling

If you're new to fetch, Axios, curl, Postman, or HTTPie, a hosted API is a low-friction target. You can practice:

  • Sending query parameters (?page=2, ?delay=3).
  • Setting headers and reading response headers.
  • Handling POST, PUT, PATCH, DELETE.
  • Observing status codes for success and failure.

4. Deliberate failure and latency testing

Endpoints that return 404 on purpose, or that accept a delay parameter, let you test how your app behaves when things go wrong or slow down. That's hard to do reliably against a happy-path local mock.

What the public endpoints are not good for

Use case Public sample endpoints Account-based backend
Persistent, private data No — shared and reset Yes
Custom schema/collections No Yes
Authentication you control Limited (demo login) Yes
Request logs and debugging No Yes
Production traffic Not intended Depends on plan/licence
Team collaboration No Yes

The key limitation: you don't own the data, and other people are hitting the same endpoints. Treat responses as illustrative, not authoritative.

When you'd move to an account-based backend

Consider app.reqres.in (collections, auth, logs) when any of these are true:

  • You need your own collections and fields, not the fixed demo schema.
  • You need data to persist between sessions and belong only to you.
  • You need real authentication flows you can rely on in a demo or internal tool.
  • You need request logs to debug what your client actually sent.
  • You're working with a team and need shared, stable endpoints.

The trade-off is setup and, eventually, cost. The public endpoints require none; the backend requires an account and configuration.

Where pricing and licensing become relevant

The site signals a commercial licence and an upgrade path (with Stripe as the payment platform), but specific prices, plan tiers, and limits aren't stated here—so don't assume numbers. What you can reason about:

  • Prototyping and learning → free public endpoints are usually enough.
  • Internal tools, demos for clients, or anything you don't want reset → an account-based backend is the natural next step.
  • Production or commercial use → check the licence terms and any paid plan, because "free for testing" and "free for commercial production" are not the same thing.

Before committing, read the current terms on the site rather than relying on secondhand summaries, since pricing and licence scope change.

A quick decision checklist

  1. Do you need data that persists and is private? If yes → account-based backend.
  2. Do you need a custom schema? If yes → account-based backend.
  3. Are you only testing HTTP behavior, UI rendering, or learning a client? If yes → free public endpoints.
  4. Will this touch real users or revenue? If yes → review the licence and any paid plan first.
  5. Do you need logs and team access? If yes → account-based backend.

If you answer "no" to 1, 2, 4, and 5, the free hosted API is likely all you need. If you answer "yes" to any of them, plan for the account-based path.

Website Overview

Identifiable technologies and additional version or configuration signals make the service easier to fingerprint, which may help targeted scanners narrow their checks. Page metadata, canonical configuration and social previews work together to provide more consistent search and sharing presentation.

Domain and Registration

Transfer-protection status is present, helping reduce the risk of unauthorized domain transfers. The domain has about 4 years of registration history; its current configuration provides more context than age alone. The domain uses the common .io extension, which is not an independent safety signal.

DNS and Email

The lowest TTL is 60 seconds, supporting rapid record changes at the cost of more frequent lookups. Nameservers are provided by dnsimple-edge.com, indicating managed DNS hosting. No CNAME was found; the observed records resolve directly to addresses. No MX record was found. A conventional explicit inbound-mail route is not configured. TXT records include verification markers for Google. Such markers may also remain after a service stops being used.

TLS and Certificates

The certificate uses an RSA 2048-bit public key, offering broad client compatibility. The server supplied a complete certificate chain. No organization name is present in the certificate; the available fields are consistent with domain validation. The certificate was issued by Let's Encrypt, commonly associated with automated certificate services. The certificate's total validity is about 89 days, consistent with a short renewal cycle.

HTTP and Browser Security

The checked browser-security headers were not detected, leaving fewer explicit browser-side safeguards. CORS permits any origin to read this response. This is common for public resources; sensitive responses need narrower handling. No X-Powered-By header was found, reducing one common source of backend fingerprinting information. The x-cache, x-served-by, via response header indicates a CDN or caching proxy in the delivery path. No obvious internal addresses or debug information were found in the headers.

Technology Stack Analysis

The public page identifies Docusaurus 3.10.2, Fastly, with exact versions exposed for 1 technologies. These details can narrow vulnerability checks, although exposure alone is not a vulnerability.

Search and Social Sharing

The Generator tag identifies Docusaurus v3.10.2, making the publishing system easier to fingerprint. Open Graph is partially configured; og:type is missing. Twitter Card metadata is configured. The page declares 2 language or regional alternatives using hreflang. The title has 59 characters, within a common display range.

Hosting and Email

DNSdnsimple-edge.com
HostingFastly
EmailUnknown
Location United States flagUnited States 185.199.108.153

User reviews (0)

  • No reviews yet.

Pages, Search and Sharing

Meta descriptionPodman Desktop - An open source graphical tool for developing on containers and Kubernetes
Canonical URLhttps://podman-desktop.io/
LanguageEnglish (default)
Twitter Cardsummary_large_image
All bots 0 allowed · 0 disallowed

Registration details RDAP / WHOIS

RegistrarKey-Systems GmbH
Registered2022-04-17
Expires2027-04-17
Domain statusclientTransferProhibited https://icann.org/epp#clientTransferProhibited
Nameserversns1.dnsimple-edge.com、ns2.dnsimple-edge.net、ns3.dnsimple-edge.io、ns4.dnsimple-edge.org
DNSSECunsigned

DNS records

TypeNameValueTTLPriority
Apodman-desktop.io185.199.108.15360—
Apodman-desktop.io185.199.109.15360—
Apodman-desktop.io185.199.110.15360—
Apodman-desktop.io185.199.111.15360—
AAAApodman-desktop.io2606:50c0:8000::15360—
AAAApodman-desktop.io2606:50c0:8001::15360—
AAAApodman-desktop.io2606:50c0:8002::15360—
AAAApodman-desktop.io2606:50c0:8003::15360—
NSpodman-desktop.ions1.dnsimple-edge.com3600—
NSpodman-desktop.ions2.dnsimple-edge.net3600—
NSpodman-desktop.ions3.dnsimple-edge.io3600—
NSpodman-desktop.ions4.dnsimple-edge.org3600—
TXTpodman-desktop.iogoogle-site-verification=quQGxmY-gXc3frcrpUE5WSGdxP4MLkDrYb5ObzJscaE60—

TLS and certificates

AssessmentNormal configuration
Supported protocolsTLSv1.2、TLSv1.3
Negotiated protocolTLSv1.3
Certificate subjectpodman-desktop.io
IssuerLet's Encrypt
Valid until2026-11-20T00:00 · Remaining when checked: 53 days
Verification detailsCertificate trust: Passed · Hostname match: Passed

HTTP response headers

HeaderValue
content-typetext/html; charset=utf-8
cache-controlmax-age=600
serverGitHub.com
access-control-allow-origin*

Identified technologies

Docusaurus 3.10.2Fastly