BrowserGym Leaderboard

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BrowserGym Leaderboard is an AI Agents & Automation tool that tracks the performance of LLMs, VLMs, and agents on web navigation tasks. It provides a platform to compare and evaluate different AI models.

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At a glance

Pricing

Free · Open Source

Free tier

Yes

API

Skill level

Technical

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About

What is BrowserGym Leaderboard?

The BrowserGym Leaderboard, hosted on Hugging Face Spaces by ServiceNow, offers a Streamlit-based web interface for tracking the performance of various AI models, including Large Language Models (LLMs), Vision-Language Models (VLMs), and other AI agents. This tool is specifically designed to evaluate how well these models perform on web navigation tasks. Users can interact with the app through common controls like text boxes, sliders, or file uploads to submit data. After submission, the app processes the input and displays performance metrics, allowing for a comparative analysis of different AI agents. The leaderboard is open-source, licensed under MIT, and encourages users to contribute by submitting results for new agents to continuously track and improve their performance.

Best used for

Ideal for developers and data scientists who need to benchmark the performance of LLMs and VLMs on web navigation tasks, compare different AI agents, and contribute to the open-source AI community. Especially valuable for researchers and practitioners looking to evaluate and improve AI model capabilities.

Common actions

track AI performance

evaluate AI models

compare LLM agents

benchmark web navigation

fun toolsaiEducationContent generationAI chatbotsAutomationTask automation

Capabilities

Key features

Track LLM performance
Evaluate VLM performance
Compare AI agents
Web navigation tasks
Streamlit web interface

Target Audience

developerdata scientist

Integrations

Not yet documented

Pricing & Plans

Free · Open Source

Free

FAQs

What kind of AI models does the BrowserGym Leaderboard track?

The BrowserGym Leaderboard tracks the performance of various AI models, including Large Language Models (LLMs), Vision-Language Models (VLMs), and other AI agents. It specifically focuses on their capabilities in performing web navigation tasks.

How can users submit data to the BrowserGym Leaderboard?

Users can submit data to the BrowserGym Leaderboard through its Streamlit-based web interface. This interface supports common input methods such as text boxes, sliders, and file uploads, allowing for easy interaction and data submission.

Is the BrowserGym Leaderboard an open-source project?

Yes, the BrowserGym Leaderboard is an open-source project. It is licensed under the MIT license, encouraging community contributions and allowing users to submit results for new agents to track and improve their performance.

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