Although the AWS CLI is a great resource to manage your AWS-powered services, it’s tough to remember usage of:
- 70+ top-level commands
- 2000+ subcommands
- Countless command-specific options
- Resources such as instance tags and buckets
SAWS: A Supercharged AWS CLI
SAWS aims to supercharge the AWS CLI with features focusing on:
- Improving ease-of-use
- Increasing productivity
Under the hood,
SAWS is powered by the AWS CLI and supports the same commands and command structure.
AWS CLI Usage:
aws <command> <subcommand> [parameters] [options]
- Auto-completion of:
- Auto-completion of resources:
- Bucket names
- Instance ids
- Instance tags
- More coming soon!
- Customizable shortcuts
- Fuzzy completion of resources and shortcuts
- Fish-style auto-suggestions
- Syntax and output highlighting
- Execution of shell commands
- Command history
- Contextual help
- Toolbar options
SAWS is available for Mac, Linux, Unix, and Windows.
- Syntax and Output Highlighting
- Auto-Completion of Commands, Subcommands, and Options
- Auto-Completion of AWS Resources
- Customizable Shortcuts
- Fuzzy Resource and Shortcut Completion
- Fish-Style Auto-Suggestions
- Executing Shell Commands
- Command History
- Contextual Help
- Toolbar Options
- Windows Support
Installation and Tests
- Developer Installation
Syntax and Output Highlighting
You can control which theme to load for syntax highlighting by updating your ~/.sawsrc file:
# Visual theme. Possible values: manni, igor, xcode, vim, autumn, vs, rrt, # native, perldoc, borland, tango, emacs, friendly, monokai, paraiso-dark, # colorful, murphy, bw, pastie, paraiso-light, trac, default, fruity theme = vim
Auto-Completion of Commands, Subcommands, and Options
SAWS provides smart autocompletion as you type. Entering the following command will interactively list and auto-complete all subcommands specific only to
Auto-Completion of AWS Resources
In addition to the default commands, subcommands, and options the AWS CLI provides,
SAWS supports auto-completion of your AWS resources. Currently, bucket names, instance ids, and instance tags are included, with additional support for more resources under development.
aws s3api get-bucket-acl --bucket
aws s3 ls s3://
Note: The example below demonstrates the use of fuzzy resource completion:
EC2 Instance Ids
aws ec2 describe-instances --instance-ids aws ec2 ls --instance-ids
ls command demonstrates the use of customizable shortcuts:
EC2 Instance Tags
aws ec2 ls --ec2-tag-key aws ec2 ls --ec2-tag-value
Tags support wildcards with the
--ec2-tag-key demonstrate the use of customizable shortcuts:
TODO: Add More Resources
Feel free to submit an issue or a pull request if you’d like support for additional resources.
The ~/.saws.shortcuts file contains shortcuts that you can modify. It comes pre-populated with several handy shortcuts out of the box. You can combine shortcuts with fuzzy completion for even less keystrokes. Below are a few examples.
List all EC2 instances:
aws ec2 ls
List all running EC2 instances:
aws ec2 ls --ec2-state running # fuzzy shortcut: aws ecstate
List all EC2 instances with a matching tag (supports wildcards
aws ec2 ls --ec2-tag-key # fuzzy shortcut: aws ectagk aws ec2 ls --ec2-tag-value # fuzzy shortcut: aws ectagv
List EC2 instance with matching id:
aws ec2 ls --instance-ids # fuzzy shortcut: aws eclsi
List all DynamoDB tables:
aws dynamodb ls # fuzzy shortcut: aws dls
List all EMR clusters:
aws emr ls # fuzzy shortcut: aws emls
Add/remove/modify shortcuts in your ~/.saws.shortcuts file to suit your needs.
Feel free to submit:
- An issue to request additional shortcuts
- A pull request if you’d like to share your shortcuts (see contributing guidelines)
Fuzzy Resource and Shortcut Completion
To toggle fuzzy completion of AWS resources and shortcuts, use
Sample fuzzy shortcuts to start and stop EC2 instances:
aws ecstop aws ecstart
SAWS supports Fish-style auto-suggestions. Use the
right arrow key to complete a suggestion.
Executing Shell Commands
SAWS allows you to execute shell commands from the
SAWS keeps track of commands you enter and stores them in
~/.saws-history. Use the up and down arrow keys to cycle through the command history.
SAWS supports contextual command line
help and contextual web
Contextual Command Line Help
help command is powered by the AWS CLI and outputs help within the command line.
aws <command> <subcommand> help
Contextual Web Docs
Sometimes you’re not quite sure what specific command/subcommand/option combination you need to use. In such cases, browsing through several combinations with the
help command line is cumbersome versus browsing the online AWS CLI docs through a web browser.
SAWS supports contextual web docs with the
docs command or the
SAWS will display the web docs specific to the currently entered command and subcommand.
aws <command> <subcommand> docs
SAWS supports a number of toolbar options:
F2toggles output syntax highlighting
F3toggles fuzzy completion of AWS resources and shortcuts
F4toggles completion of shortcuts
F5refreshes resources for auto-completion
F9displays the contextual web docs
SAWS has been tested on Windows 7 and Windows 10.
On Windows, the .sawsrc file can be found in
%userprofile%. For example:
$ pip install saws
You can also install the latest
SAWS from GitHub source which can contain changes not yet pushed to PyPI:
$ pip install git+https://github.com/donnemartin/saws.git
If you are not installing in a virtualenv, run with
$ sudo pip install saws
Once installed, start
Virtual Environment and Docker Installation
Mac OS X 10.11 El Capitan Users
There is a known issue with Apple and its included python package dependencies (more info at https://github.com/pypa/pip/issues/3165). We are investigating ways to fix this issue but in the meantime, to install saws, you can run:
$ sudo pip install saws --upgrade --ignore-installed six
AWS Credentials and Named Profiles
Configure your credentials with the AWS CLI:
$ aws configure
If you’d like to use a specific named profile with
SAWS, run the following commands on OS X, Linux, or Unix:
$ export AWS_DEFAULT_PROFILE=user1 $ saws
Or as a one-liner:
$ AWS_DEFAULT_PROFILE=user1 saws
Windows users can run the following commands:
> set AWS_DEFAULT_PROFILE=user1 > saws
Supported Python Versions
- Python 2.6
- Python 2.7
- Python 3.3
- Python 3.4
Light testing indicates that
SAWS also seems to be compatible with Python 3.5.
- Mac OS X
- Tested on OS X 10.10
- Linux, Unix
- Tested on Ubuntu 14.04 LTS
- Tested on Windows 7 and 10
If you’re interested in contributing to
SAWS, run the following commands:
$ git clone https://github.com/donnemartin/saws.git $ pip install -e . $ pip install -r requirements-dev.txt $ saws
Continuous integration details are available on Travis CI.
Dependencies management details are available on Gemnasium.
Unit Tests and Code Coverage
Run unit tests in your active Python environment:
$ python tests/run_tests.py
Run unit tests with tox on multiple Python environments:
Source code documentation is available on Readthedocs.org.
Run the following to build the docs:
Contributions are welcome!
Review the Contributing Guidelines for details on how to:
- Submit issues
- Submit pull requests
- AWS CLI by AWS for powering
SAWSunder the hood
- Python Prompt Toolkit by jonathanslenders for simplifying the creation of
- Wharfee by j-bennet for inspiring the creation of
SAWSand for some handy utility functions
Feel free to contact me to discuss any issues, questions, or comments.
- Email: [email protected]
- Twitter: donne_martin
- GitHub: donnemartin
- LinkedIn: donnemartin
- Website: donnemartin.com
I am providing code and resources in this repository to you under an open source license. Because this is my personal repository, the license you receive to my code and resources is from me and not my employer (Facebook).
Copyright 2015 Donne Martin Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.