NetPilot
Cloud-Hosted ContainerLab

ContainerLab AlternativeAI Writes the YAML and Configs

The cloud-native AI-powered alternative to ContainerLab.

Same devices you love from ContainerLab — Cisco IOL, Nokia SR Linux, Arista cEOS, FRR — cloud-hosted with AI that writes the YAML, generates per-vendor configs, and deploys in ~2 minutes. Skip the Docker host, skip the vrnetlab builds, skip the hand-written YAML. SSH into any device to verify — the agent writes the lab; CLI is always there when you want to drill in.

No Docker, no Linux host
AI writes YAML + per-vendor configs
Multi-turn natural-language iteration
Same devices, cloud-hosted

How NetPilot differs from ContainerLab

ContainerLab is the right deployment engine — we use it under the hood. NetPilot adds cloud-native access, AI topology design, multi-turn iteration, and 2-minute prompt-to-lab on top.

Cloud-native

Browser only. Nothing to install.
The alternativeContainerLab requires Docker + Linux host (or WSL). BYOI vendor images require vrnetlab image builds — hours per vendor.

AI-designed

Describe any multi-vendor topology in plain English. AI writes the YAML + per-vendor configs + deploys.
The alternativeContainerLab is YAML by hand + per-device CLI by hand. No AI, no natural language, no design assistance.

Multi-turn iteration

"Add an Arista spine and move OSPF to area 0.0.0.1" — AI updates across YAML and all device configs.
The alternativeEdit YAML + redeploy + push configs by hand, device by device, per change.

2 minutes vs hours

~2 minutes from prompt to working multi-vendor lab.
The alternativeContainerLab: 1-2 hours first-time setup + hours of vrnetlab image builds + 20-40 min per lab to write YAML and configs.

See the Difference

Watch NetPilot deploy a multi-vendor lab to cloud ContainerLab from a single plain-English description.

ContainerLab Friction NetPilot Eliminates

ContainerLab is powerful — but the setup and manual config eat into your productive time.

Docker & Linux Setup Required

ContainerLab requires Docker, a Linux host (or WSL), and careful system configuration. NetPilot runs ContainerLab in the cloud — open your browser and start building.

YAML Topology Files by Hand

Every lab starts with a YAML file defining nodes, links, and images. NetPilot's AI generates the topology from plain English — no YAML, no syntax errors.

Source and Build Images Yourself

Most vendor images require downloading, converting, and building Docker containers manually with vrnetlab. NetPilot includes 3 vendors built-in and automates the build process for 6 more — just upload the file.

No AI — Every Config Manual

ContainerLab deploys devices but doesn't configure them. You write every routing protocol, VLAN, and ACL by hand. NetPilot's AI generates complete vendor-specific configs automatically.

NetPilot vs ContainerLab

NetPilot uses ContainerLab under the hood — and adds AI, cloud hosting, and zero-setup deployment.

DimensionContainerLabNetPilot
Primary use caseDevOps/CI-CD pipelines; raw Docker-native labsEnterprise change validation + rapid multi-vendor labs
Cloud-hosted / browser accessDocker + Linux host requiredBrowser only, any device
AI-designed topology + configsYAML + CLI by handPlain English → complete lab
Multi-turn natural-language iterationEdit YAML + redeploy + push configs manuallyConversational updates across devices
Time to first working lab20-40 min after 1-2 hrs of setup~2 minutes end-to-end
Image sourcing / licensingvrnetlab image builds per vendor (hours)Nokia SR Linux + FRR + Linux built-in; one-click BYOI for commercial
Multi-vendor in one topologySupported — you still build each image9+ vendors (growing), prompt-driven, AI writes per-vendor CLI
Troubleshooting assistanceNoneAgent diagnoses + fixes across devices
GUI / browser interfaceCLI + YAML only (TopoViewer is view-only)Browser UI + chat-based control
Automation / CI-CD integrationCLI + declarative YAML (great for CI)REST API (enterprise), reproducible prompts
User-owned declarative YAMLYou author and version-control every topology fileAI writes YAML; enterprise can export
CostFree + your time + your Linux hostFree tier; enterprise plan for teams

How NetPilot Works

No YAML, no Docker, no image management. Describe the lab — AI handles the rest.

1

Describe Your Network

"Build a multi-vendor OSPF lab with Cisco and Nokia routers" or "Create a VXLAN EVPN leaf-spine fabric" — describe it in plain English.

2

AI Generates Everything

NetPilot's AI writes the ContainerLab YAML, assigns IP addressing, generates per-vendor device configs, and deploys — no YAML editing required.

3

Iterate in Natural Language

"Flap the R2-R3 link" or "add a second leaf" — AI updates YAML and all affected device configs. No manual reconfiguration.

Everything You Built in ContainerLab — Easier

Same devices, same protocols, same real CLIs — now with AI and cloud.

OSPF & BGP Labs
MPLS / Segment Routing
Multi-Vendor Topologies
Firewall Integration
Data Center Fabrics
Network Automation Testing
Change Validation Sandbox
CCNA/CCNP/CCIE Prep

Bottom line

Pick ContainerLab when you need:

  • •Fully offline operation on your own Linux host
  • •You already have Docker + vrnetlab image pipelines invested
  • •CI-driven declarative YAML is central to your workflow
  • •Full root access to the container host for custom tooling

Pick NetPilot when you need:

  • •Multi-vendor labs running in ~2 minutes, not 1-2 hours of Docker + vrnetlab setup
  • •AI writes the YAML and per-vendor configs — no hand-authored topology files
  • •Multi-turn natural-language iteration across YAML and devices
  • •Browser-accessible from any device including Chromebooks and iPads
  • •Built-in troubleshooting agent; same real NOS images as ContainerLab

Verdict:ContainerLab is the right tool for offline Docker-native lab infrastructure you own and script from CI. NetPilot is the 80% case — cloud-hosted ContainerLab with AI writing the YAML and configs, 2-minute deployment, zero setup.

Frequently Asked Questions

Common questions about using NetPilot as a cloud-native AI-powered ContainerLab alternative

NetPilot combines cloud-native (no Docker + Linux host required), AI-designed topology (describe any topology in plain English — AI generates the YAML and per-vendor configs), multi-turn natural-language iteration, and ~2-minute deployment. ContainerLab is the right choice when you want to own the YAML + CI/CD pipeline and have Docker/Linux expertise already. NetPilot is the 80% case — anyone who'd rather describe the lab than write YAML by hand.
Yes. NetPilot runs ContainerLab in the cloud on fully managed infrastructure. You get the same devices (Cisco IOL, Nokia SR Linux, Arista cEOS, Juniper cRPD, FRR) without installing Docker, Linux, or managing a server. NetPilot also adds AI-powered topology generation and automatic device configuration on top of ContainerLab.
Yes, via NetPilot. ContainerLab requires Docker and a Linux host for local deployment. NetPilot eliminates this requirement by hosting ContainerLab in the cloud — you access labs from any browser with no local installation. Just describe the topology you need and NetPilot deploys it to cloud-hosted ContainerLab automatically.
Yes. NetPilot supports the same network operating systems as ContainerLab: Nokia SR Linux, FRRouting, and Linux clients are built-in. Cisco IOL, Arista cEOS, Juniper cRPD, Palo Alto, and Fortinet are available via one-click image upload — NetPilot automates the entire Docker image build process that you would normally do manually.
ContainerLab is an open-source container orchestrator for network labs — you install it locally, write YAML topology files, source device images, and configure everything manually. NetPilot uses ContainerLab as its deployment engine but adds AI-powered topology generation, automatic device configuration, cloud hosting, and a browser-based interface. Think of it as ContainerLab + AI + Cloud.
Yes. NetPilot's AI generates complete topologies from plain English descriptions and deploys them directly to cloud-hosted ContainerLab. You don't need to write YAML files or device configurations by hand — the AI handles topology design, IP addressing, and vendor-specific configs for all devices.
ContainerLab itself is free and open-source for local deployment. However, you need Docker, a Linux host, and must source device images yourself (except Nokia SR Linux and FRR which are freely available). NetPilot offers a free tier with AI-powered lab generation on top of cloud-hosted ContainerLab — no local infrastructure required.
For local ContainerLab, yes — it requires a Linux host or WSL on Windows. NetPilot removes this requirement entirely. Labs run on cloud-hosted ContainerLab accessible from any browser on any operating system — Windows, macOS, Linux, or even a Chromebook.
ContainerLab is CLI-only — you manage everything through terminal commands and YAML files. TopoViewer provides topology visualization, but lab creation and management remain CLI-based. NetPilot adds a browser-based interface on top of cloud-hosted ContainerLab with AI-powered topology generation. Describe your network in plain English instead of writing YAML.
Yes. NetPilot's enterprise plan deploys on customer-owned Linux hosts / on-prem infrastructure for teams with compliance, data-residency, or air-gapped requirements — same on-host model as raw ContainerLab, but with the AI agent authoring YAML and per-vendor configs. Cloud-hosted is the default self-serve surface; on-prem is available via Contact Sales.

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Same Devices, Zero Setup

Cisco IOL, Nokia SR Linux, Arista cEOS, FRR — all cloud-hosted with AI writing the YAML and configs. No Docker, no vrnetlab, no image management.