NetPilot

ContainerLab Alternative

The cloud-native AI-powered alternative to ContainerLab.

Same devices as ContainerLab — cloud-hosted, with AI that writes the YAML and per-vendor configs and deploys in ~2 minutes.

Try NetPilot FreeWatch Demo
app.netpilot.io

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 alternative

ContainerLab 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 alternative

ContainerLab 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 alternative

Edit 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 alternative

ContainerLab: 1-2 hours first-time setup + hours of vrnetlab image builds + 20-40 min per lab to write YAML and configs.

See It in Action

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.

Primary use case
NetPilot
Enterprise change validation + rapid multi-vendor labs
ContainerLab
DevOps/CI-CD pipelines; raw Docker-native labs
Cloud-hosted / browser access
NetPilot
Browser only, any device
ContainerLab
Docker + Linux host required
AI-designed topology + configs
NetPilot
Plain English → complete lab
ContainerLab
YAML + CLI by hand
Multi-turn natural-language iteration
NetPilot
Conversational updates across devices
ContainerLab
Edit YAML + redeploy + push configs manually
Time to first working lab
NetPilot
~2 minutes end-to-end
ContainerLab
20-40 min after 1-2 hrs of setup
Image sourcing / licensing
NetPilot
Nokia SR Linux + FRR + Linux built-in; one-click BYOI for commercial
ContainerLab
vrnetlab image builds per vendor (hours)
Multi-vendor in one topology
NetPilot
9+ vendors (growing), prompt-driven, AI writes per-vendor CLI
ContainerLab
Supported — you still build each image
Troubleshooting assistance
NetPilot
Agent diagnoses + fixes across devices
ContainerLab
None
GUI / browser interface
NetPilot
Browser UI + chat-based control
ContainerLab
CLI + YAML only (TopoViewer is view-only)
Automation / CI-CD integration
NetPilot
REST API (enterprise), reproducible prompts
ContainerLab
CLI + declarative YAML (great for CI)
User-owned declarative YAML
NetPilot
AI writes YAML; enterprise can export
ContainerLab
You author and version-control every topology file
Cost
NetPilot
Free tier; enterprise plan for teams
ContainerLab
Free + your time + your Linux host

How NetPilot Works

No YAML, no Docker, no vrnetlab image builds. 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, or import existing configs.

app.netpilot.io
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.

app.netpilot.io
3

Iterate in Natural Language

"Flap the R2-R3 link" or "add a second leaf" — AI updates YAML and all affected device configs. SSH into any device to verify with real CLIs.

app.netpilot.io

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 (Nokia SR Linux + FRR built-in, commercial NOSes via BYOI)

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 — Nokia SR Linux and FRR built-in, plus Cisco IOL, Arista cEOS, and Juniper cRPD via bring-your-own-image (you supply the licensed vendor image) — 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

Nokia SR Linux and FRR built-in, plus Cisco IOL and Arista cEOS via bring-your-own-image — all cloud-hosted with AI writing the YAML and configs. No Docker, no vrnetlab, no image-build pipeline.

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