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Sampler vs TortoiseSVN: What are the differences?
Developers describe Sampler as "Visualization for any shell command". A tool for shell commands execution, visualization and alerting. Configured with a simple YAML file. On the other hand, TortoiseSVN is detailed as "A Subversion client, implemented as a Microsoft Windows shell extension". It is a really easy to use Revision control / version control / source control software for Windows.
Sampler and TortoiseSVN belong to "Shell Utilities" category of the tech stack.
Sampler and TortoiseSVN are both open source tools. Sampler with 6.67K GitHub stars and 306 forks on GitHub appears to be more popular than TortoiseSVN with 41 GitHub stars and 30 GitHub forks.
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Pros of TortoiseSVN
- Easy to use1
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What is Sampler?
A tool for shell commands execution, visualization and alerting. Configured with a simple YAML file.
What is TortoiseSVN?
It is an Apache™ Subversion (SVN)® client, implemented as a Windows shell extension. It's intuitive and easy to use, since it doesn't require the Subversion command line client to run. And it is free to use, even in a commercial environment.
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What tools integrate with Sampler?
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What are some alternatives to Sampler and TortoiseSVN?
Oh My ZSH
A delightful, open source, community-driven framework for managing your Zsh configuration. It comes bundled with thousands of helpful functions, helpers, plugins, themes.
tmux
It enables a number of terminals to be created, accessed, and controlled from a single screen. tmux may be detached from a screen and continue running in the background, then later reattached.
Try
It lets you run a command and inspect its effects before changing your live system. It uses Linux's namespaces (via unshare) and the overlayfs union filesystem.
navi
It allows you to browse through cheatsheets (that you may write yourself or download from maintainers) and execute commands, prompting for argument values.
Bash-My-AWS
It is a simple but extremely powerful set of CLI commands for managing resources on Amazon Web Services.
They harness the power of Amazon's AWSCLI, while abstracting away verbosity.
The project implements some innovative patterns but (arguably) remains simple, beautiful and readable.