Learn how Browser Operator and Steel differ in their key features, development activity, technology stack and community adoption, so you can decide which of these browser automation for ai tools is best for you.
Last 30 days
Last commit
Repository age
Version
License
Repository

Last 30 days
Last commit
Repository age
Version
License
Self-hosted
Repository

Steel appears to have several advantages over Browser Operator, particularly in popularity, growth, activity and features. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Steel significantly outpaces Browser Operator in community adoption with 7,605 stars compared to 506 stars on GitHub. This 15.0x difference suggests Steel has a much larger and more active community. In terms of developer contributions, Steel has 973 forks, indicating moderate developer engagement.
Steel is growing faster, adding 149 stars in the last 30 days (+2%) against adding 7 stars for Browser Operator (+1.4%). Steel is both larger and pulling further ahead.
Steel shows more recent development activity with its last commit 6 days ago, while Browser Operator was last updated 6 months ago. This suggests Steel is being more actively maintained.
Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript. However, they differ in their additional technology choices: Browser Operator uses Python, C, Objective-C, C++ while Steel leverages JSX.
Both projects started around the same time, with Browser Operator beginning 1 year ago and Steel 2 years ago.
Browser Operator uses the BSD-3-Clause license, which is more permissive than Steel's Apache-2.0 license, potentially offering greater flexibility for commercial use and integration.
Both tools serve similar use cases in Browser Automation for AI. However, they also have distinct specializations: Browser Operator also focuses on Web Browsers while Steel extends into Browser Automation.
Steel provides self-hosting options for complete data control and customization, while Browser Operator may be primarily cloud-based or require different deployment approaches.