stree – visualize the directory tree structure of an S3 bucket

stree is a CLI tool designed to visualize the directory tree structure of an S3 bucket.

By inputting an S3 bucket/prefix and utilizing various flags to customize your request, you can obtain a colorized or non-colorized directory tree right in your terminal.

Whether it’s for verifying the file structure, sharing the structure with your team, or any other purpose, stree offers an easy and convenient way to explore your S3 buckets.

This is free and open source software.

Features include:

• Colorized Output: By default, stree provides a colorized tree structure, making it easy to differentiate between directories and files at a glance. This feature can be turned off with the -n or --no-color flag.
• LocalStack Support: stree supports local testing with LocalStack, a fully functional local AWS cloud stack, thanks to the --local and --endpoint-url flags.
• Custom AWS Profile and Region: Specify the AWS profile and region with the --profile and --region flags to override the default settings as needed.
• Ease of Installation: Install stree via Go, Homebrew, or by downloading the latest compiled binaries from the GitHub releases page.
• Depth level Specification: With the --L flag, you can specify how many levels deep in the directory structure you’d like to visualize. This offers a more focused view, especially for large S3 buckets.
• Role Switching Support: stree is now enhanced with the ability to switch AWS roles with MFA using the –mfa flag. This makes it easier to manage and view S3 buckets that require different IAM roles for access.
• Environment Variable Support: stree now prioritizes environment variables for AWS Profile and Region settings. The tool will use the AWS_PROFILE environment variable if set, falling back to the default profile otherwise. Similarly, it will use the AWS_REGION or AWS_DEFAULT_REGION environment variables for the AWS region, if available.
• Full Path Display: With the -f flag, the full path of each file is now displayed in the output, making it easier to identify the location of each item within the S3 bucket.

Website: github.com/orangekame3/stree
Support:
Developer: Takafumi Miyanaga
License: MIT License

stree is written in Go. Learn Go with our recommended free books and free tutorials.

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