open-operator-evals

About open-operator-evals

Opensource benchmark evaluating web operators/agents performance

ai-agents ai-tools browser-automation browser-use computer-use cua llm notte web-agent

Quick Facts

Stars	47
Forks	7
Language	Python
Category	Agent Tool
Quality Score	32.75/100
Last Updated	2025-04-11
Created	2025-04-08
Platforms	browser, python
Est. Tokens	~9570k

Compatible Skills

These tools work well together with open-operator-evals for enhanced workflows:

TuriX-CUA — semantic(0.49)+complementary+rare_topics+same_lang+shared_platform (66%)
Web-Use — semantic(0.34)+complementary+rare_topics+same_lang+similar_pop+shared_platform (61%)
web-agent-protocol — semantic(0.49)+complementary+rare_topics+same_lang+shared_platform (57%)
clawreins — semantic(0.19)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)

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Frequently Asked Questions

What is open-operator-evals?

open-operator-evals is Opensource benchmark evaluating web operators/agents performance. It is categorized as a Agent Tool with 47 GitHub stars.

What programming language is open-operator-evals written in?

open-operator-evals is primarily written in Python. It covers topics such as ai-agents, ai-tools, browser-automation.

How do I install or use open-operator-evals?

You can find installation instructions and usage details in the open-operator-evals GitHub repository at github.com/nottelabs/open-operator-evals. The project has 47 stars and 7 forks, indicating an active community.

View on GitHub → Browse Agent Tool tools