https://github.com/codekitchen/pipeline

the `pipeline` shell command
https://github.com/codekitchen/pipeline

data-analysis data-mining shell-scripting

Last synced: about 2 months ago
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the `pipeline` shell command

• Host: GitHub
• URL: https://github.com/codekitchen/pipeline
• Owner: codekitchen
• License: mit
• Created: 2019-11-23T18:24:20.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2021-01-06T06:37:44.000Z (about 4 years ago)
• Last Synced: 2024-11-05T02:36:01.573Z (2 months ago)
• Topics: data-analysis, data-mining, shell-scripting
• Language: C
• Size: 138 KB
• Stars: 181
• Watchers: 4
• Forks: 6
• Open Issues: 7
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • License: COPYING

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README

        
# The `pipeline` shell command

A utility to make building up a pipeline of shell commands easier, especially when

doing data exploration.

If you've ever found yourself writing shell code, in an endless loop of piping

output to `less`, scanning it over and making changes, then `pipeline` can make

your life just a little bit more beautiful.

This is just a thin wrapper around your shell, not some totally new data mining

tool. Launch pipeline, and start typing shell commands as usual. Every time you

hit enter you'll see a one-screen preview of your output, similar to piping

output to `less`, but your cursor will stay right where it was for further

editing.

![](pipeline_demo.gif)

Ctrl-C when you're done.

## Installation

Pipeline depends only on ncurses and readline (or libedit), both of which ship with MacOS and most common Linux distros.

### MacOS

Install with [Homebrew](https://brew.sh).

```

brew tap codekitchen/pipeline

brew install pipeline

```

### From Source

You can download the latest release tarball from the [releases page](https://github.com/codekitchen/pipeline/releases), or git clone the repo to build the master branch.

```

autoreconf -fi    # only if building from git, skip this for release tarballs

./configure

make

```

After make finishes, you'll be able to use `./pipeline`. You can also install it using:

```

sudo make install

```

### Windows

It might work under MinGW/GitBash? Please let me know.