RepoAlerts
SponsorGet alerts

TIGER-AI-Lab/WebsiteBench

Resource

Get alerts like thisView on GitHubWebsiteShare on X

Can I trust it?

Worth a closer look before you use it.

  • Warnings Check

    Very new: it was created 4 days ago. Wait a little before installing it.

  • Stars from real accounts No data

    We haven't checked its stars for fakes yet.

  • Active OK

    Last change today.

  • Licence OK

    Apache-2.0: you can use it for free, also in a commercial product. Keep the licence notice.

Quick checks from public data. They help, but they are no guarantee.

What it is

A benchmark in which AI agents explore a production website through a browser and must rebuild a full-stack version matching its appearance and behavior. Includes 70 websites and 46,916 hidden test cases, run through the Harbor framework with Docker.

Who it's for

Researchers and developers evaluating AI coding and web agents on website reconstruction tasks

How to use it

Install

pip install websitebench

From its README. Check it there before running it.

Ask your AI to set it up

Paste this into Claude, ChatGPT or your coding assistant.

Help me install and set up TIGER-AI-Lab/WebsiteBench in my project. Follow its README: https://github.com/TIGER-AI-Lab/WebsiteBench. Explain each step and check it is safe before running anything.

Star curve

109From 0 to 109 stars between 4 Nov 2026 and 8 Nov 2026.

Alternatives

Similar projects named in its profile. Each link searches the directory.

Get alerts for repos like this

We'll email you when something in AI agents starts rising. Free, once a week, only what matches.

What arrives: one email on Mondays with the repos that match, never more. See last week's. Privacy

For maintainers

Add this badge to your README. It shows the repo's place on the radar, updates every hour and links back to this page.

[![TIGER-AI-Lab/WebsiteBench on RepoAlerts](https://repoalerts.com/badge/TIGER-AI-Lab/WebsiteBench.svg)](https://repoalerts.com/repo/TIGER-AI-Lab/WebsiteBench?ref=badge)
Share on X
  • kIieret/facebookresearch-ProgramBench

    A benchmark that tests whether AI agents can rebuild a program from scratch. Given only a compiled binary and its documentation, agents must architect and implement a codebase that reproduces the orig

    CLI toolAI agentsPython · 38 stars · +38 this week · 3 days old

  • facebookresearch/swe-sweep

    A benchmark that measures how many bugs language models and agents can find and fix in large real repositories. Agents receive no hints about bug type or location. Tasks run on Harbor and are scored b

    AI agentsPython · 225 stars · +12 this week · 38 days old

  • NineAbyss/OR-License

    A benchmark of 31 operations research tasks for evaluating LLM agents. Agents query an interactive business-information simulator, write optimization programs in an isolated environment, and submit so

    ResourceAI agentsPython · 147 stars · +69 this week · 24 days old

  • mashanglinyu/luanyujia-workbench

    A methods guide and bare-shell template for building a multi-scene AI workbench in Electron, where each scene is a grid of panels with a persistent AI session. The README states it is not ready to run

    TemplateAI agentsJavaScript · 500 stars · +103 this week · 39 days old

  • kingdee/lingee-bench

    An evaluation framework and benchmark for testing whether AI agents complete tasks with verifiable outcomes in ERP-style business systems. It provides harness adapters, model and MCP proxies, an offli

    ResourceAI agentsPython · 187 stars · +175 this week · 24 days old

  • aicodeking/leanrea

    A single 8 KB agent skill file that gives AI coding agents routing rules and ready-to-run plain CLI commands for reverse engineering binaries, Electron apps and bundles, instead of an MCP server. It r

    AI skillAI agentsPython · 4,086 stars · +277 this week · 22 days old