Programming language: Go
Latest version: v1.0.0

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s5cmd is a very fast S3 and local filesystem execution tool. [](./doc/usage.png)


s5cmd supports wide range of object management tasks both for cloud storage services and local filesystems.

  • List buckets and objects
  • Upload, download or delete objects
  • Move, copy or rename objects
  • Print object contents to stdout
  • Create buckets
  • Summarize objects sizes, grouping by storage class
  • Wildcard support for all operations
  • Multiple arguments support for delete operation
  • Command file support to run commands in batches at very high execution speeds
  • S3 Transfer Acceleration support
  • Google Cloud Storage (and any other S3 API compatible service) support
  • Structured logging for querying command outputs
  • Shell auto-completion



The Releases page provides pre-built binaries for Linux and macOS.


For macOS, a homebrew tap is provided:

brew tap peak/s5cmd https://github.com/peak/s5cmd
brew install s5cmd

Build from source

You can build s5cmd from source if you have Go 1.13+ installed.

go get github.com/peak/s5cmd

⚠️ Please note that building from master is not guaranteed to be stable since development happens on master branch.


s5cmd supports multiple-level wildcards for all S3 operations. This is achieved by listing all S3 objects with the prefix up to the first wildcard, then filtering the results in-memory. For example, for the following command;

s5cmd cp 's3://bucket/logs/2020/03/*' .

first a ListObjects request is send, then the copy operation will be executed against each matching object, in parallel.


Download a single S3 object

s5cmd cp s3://bucket/object.gz .

Download multiple S3 objects

Suppose we have the following objects:

s5cmd cp 's3://bucket/logs/2020/03/*' logs/

s5cmd will match the given wildcards and arguments by doing an efficient search against the given prefixes. All matching objects will be downloaded in parallel. s5cmd will create the destination directory if it is missing.

logs/ directory content will look like:

$ tree
└── logs
    ├── 18
    │   └── file1.gz
    └── 19
        ├── file2.gz
        └── originals
            └── file3.gz

4 directories, 3 files

ℹ️ s5cmd preserves the source directory structure by default. If you want to flatten the source directory structure, use the --flatten flag.

s5cmd cp --flatten 's3://bucket/logs/2020/03/*' logs/

logs/ directory content will look like:

$ tree
└── logs
    ├── file1.gz
    ├── file2.gz
    └── file3.gz

1 directory, 3 files

Upload a file to S3

s5cmd cp object.gz s3://bucket/

Upload multiple files to S3

s5cmd cp directory/ s3://bucket/

Will upload all files at given directory to S3 while keeping the folder hierarchy of the source.

Delete an S3 object

s5cmd rm s3://bucket/logs/2020/03/18/file1.gz

Delete multiple S3 objects

s5cmd rm s3://bucket/logs/2020/03/19/*

Will remove all matching objects:


s5cmd utilizes S3 delete batch API. If matching objects are up to 1000, they'll be deleted in a single request.

Copy objects from S3 to S3

s5cmd supports copying objects on the server side as well.

s5cmd cp 's3://bucket/logs/2020/*' s3://bucket/logs/backup/

Will copy all the matching objects to the given S3 prefix, respecting the source folder hierarchy.

⚠️ Copying objects (from S3 to S3) larger than 5GB is not supported yet. We have an open ticket to track the issue.

Count objects and determine total size

$ s5cmd du --humanize 's3://bucket/2020/*'

30.8M bytes in 3 objects: s3://bucket/2020/*

Run multiple commands in parallel

The most powerful feature of s5cmd is the commands file. Thousands of S3 and filesystem commands are declared in a file (or simply piped in from another process) and they are executed using multiple parallel workers. Since only one program is launched, thousands of unnecessary fork-exec calls are avoided. This way S3 execution times can reach a few thousand operations per second.

s5cmd run commands.txt


cat commands.txt | s5cmd run

commands.txt content could look like:

cp s3://bucket/2020/03/* logs/2020/03/

# line comments are supported
rm s3://bucket/2020/03/19/file2.gz

# empty lines are OK too like above

# rename an S3 object
mv s3://bucket/2020/03/18/file1.gz s3://bucket/2020/03/18/original/file.gz

# list all buckets
ls # inline comments are OK too

Specifying credentials

s5cmd uses official AWS SDK to access S3. SDK requires credentials to sign requests to AWS. Credentials can be provided in a variety of ways:

  • Environment variables
  • AWS credentials file
  • If s5cmd runs on an Amazon EC2 instance, EC2 IAM role
  • If s5cmd runs on EKS, Kube IAM role

The SDK detects and uses the built-in providers automatically, without requiring manual configurations.

Shell auto-completion

Shell completion is supported for bash, zsh and fish.

To enable auto-completion, run:

s5cmd --install-completion

This will add a few lines to your shell configuration file. After installation, restart your shell to activate the changes.

Google Cloud Storage support

s5cmd supports S3 API compatible services, such as GCS, Minio or your favorite object storage.

s5cmd --endpoint-url https://storage.googleapis.com ls

will return your GCS buckets.

s5cmd will use virtual-host style bucket resolving for S3, S3 transfer acceleration and GCS. If a custom endpoint is provided, it'll fallback to path-style.

Retry logic

s5cmd uses an exponential backoff retry mechanism for transient or potential server-side throttling errors. Non-retriable errors, such as invalid credentials, authorization errors etc, will not be retried. By default, s5cmd will retry 10 times for up to a minute. Number of retries are adjustable via --retry-count flag.

Using wildcards

Most shells can attempt to expand wildcards before passing the arguments to s5cmd, resulting in surprising no matches found errors.

To avoid this problem, surround the wildcarded expression with single quotes.


s5cmd supports both structured and unstructured outputs.

  • unstructured output
$ s5cmd cp s3://bucket/testfile .

cp s3://bucket/testfile testfile
$ s5cmd cp --no-clobber s3://somebucket/file.txt file.txt

ERROR "cp s3://somebucket/file.txt file.txt": object already exists
  • If --json flag is provided:
      "operation": "cp",
      "success": true,
      "source": "s3://bucket/testfile",
      "destination": "testfile",
      "object": "[object]"
      "operation": "cp",
      "job": "cp s3://somebucket/file.txt file.txt",
      "error": "'cp s3://somebucket/file.txt file.txt': object already exists"



*Note that all licence references and agreements mentioned in the s5cmd README section above are relevant to that project's source code only.