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
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.
SAWS
and AWS CLI
Usage:
aws <command> <subcommand> [parameters] [options]
SAWS
features:
- Auto-completion of:
- Commands
- Subcommands
- Options
- 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
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
SAWS
provides smart autocompletion as you type. Entering the following command will interactively list and auto-complete all subcommands specific only to ec2
:
aws ec2
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.
Option for s3api
:
--bucket
Sample Usage:
aws s3api get-bucket-acl --bucket
Syntax for s3
:
s3://
Sample Usage:
aws s3 ls s3://
Note: The example below demonstrates the use of fuzzy resource completion:
Option for ec2
:
--instance-ids
Sample Usage:
aws ec2 describe-instances --instance-ids
aws ec2 ls --instance-ids
Note: The ls
command demonstrates the use of customizable shortcuts:
Option for ec2
:
--ec2-tag-key
--ec2-tag-value
Sample Usage:
aws ec2 ls --ec2-tag-key
aws ec2 ls --ec2-tag-value
Tags support wildcards with the *
character.
Note: ls
, --ec2-tag-value
, and --ec2-tag-key
demonstrate the use of customizable shortcuts:
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)
To toggle fuzzy completion of AWS resources and shortcuts, use F3
key.
Sample fuzzy shortcuts to start and stop EC2 instances:
aws ecstop
aws ecstart
Note: Fuzzy completion currently only works with AWS resources and shortcuts.
SAWS
supports Fish-style auto-suggestions. Use the right arrow
key to complete a suggestion.
SAWS
allows you to execute shell commands from the saws>
prompt.
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 docs
.
The help
command is powered by the AWS CLI and outputs help within the command line.
Usage:
aws <command> <subcommand> help
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 F9
key. SAWS
will display the web docs specific to the currently entered command and subcommand.
Usage:
aws <command> <subcommand> docs
SAWS
supports a number of toolbar options:
F2
toggles output syntax highlightingF3
toggles fuzzy completion of AWS resources and shortcutsF4
toggles completion of shortcutsF5
refreshes resources for auto-completionF9
displays the contextual web docsF10
orcontrol d
exitsSAWS
SAWS
has been tested on Windows 7 and Windows 10.
On Windows, the .sawsrc file can be found in %userprofile%
. For example:
C:\Users\dmartin\.sawsrc
Although you can use the standard Windows command prompt, you'll probably have a better experience with either cmder or conemu.
SAWS
is hosted on PyPI. The following command will install SAWS
along with dependencies such as the AWS CLI:
$ 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
:
$ sudo pip install saws
Once installed, start SAWS
:
$ saws
It is recommended that you install Python packages in a virtualenv to avoid potential issues with dependencies or permissions.
To view SAWS
virtualenv
and Docker installation instructions, click here.
There is a known issue with Apple and its included python package dependencies (more info at pypa/pip#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
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
Command line options for starting SAWS
with a specific profile are under development. For more details on how to install and configure the AWS CLI, refer to the following documentation.
- Python 2.6
- Python 2.7
- Python 3.3
- Python 3.4
- Pypy
Light testing indicates that SAWS
also seems to be compatible with Python 3.5.
Pypy3 is not supported due to lack of support from boto.
- Mac OS X
- Tested on OS X 10.10
- Linux, Unix
- Tested on Ubuntu 14.04 LTS
- Windows
- 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.
Code coverage details are available on Codecov.
Run unit tests in your active Python environment:
$ python tests/run_tests.py
Run unit tests with tox on multiple Python environments:
$ tox
Source code documentation is available on Readthedocs.org.
Run the following to build the docs:
$ scripts/update_docs.sh
Contributions are welcome!
Review the Contributing Guidelines for details on how to:
- Submit issues
- Submit pull requests
- AWS CLI by AWS for powering
SAWS
under the hood - Python Prompt Toolkit by jonathanslenders for simplifying the creation of
SAWS
- Wharfee by j-bennet for inspiring the creation of
SAWS
and for some handy utility functions
Feel free to contact me to discuss any issues, questions, or comments.
- Email: donne.martin@gmail.com
- Twitter: donne_martin
- GitHub: donnemartin
- LinkedIn: donnemartin
- Website: donnemartin.com
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.