<commit_before># pyppl - A python lightweight pipeline framework
![Pypi][22] ![Github][23] ![Gitbook][21]   

[Documentation][1] | [API][2] | [Change log][19] | [FAQ][26] | [Fork me][3]

<!-- toc -->
## Features
- Supports of any language to run you processes.
- [Automatic deduction of input based on the process dependencies.][4]
- [Different ways of exporting output files (including `gzip`).][5]
- [Process caching (including caching using exported files).][6]
- [Expectations of process output][25]
- [Flexible placeholder handling in output and script settings.][7]
- [APIs to modify channels.][8]
- [Different runners to run you processes on different platforms.][9]
- [Runner customization (you can define your own runner).][10]
- [Callfronts/Callbacks of processes.][11]
- [Error handling for processes.][12]
- [Configuration file support for pipelines.][13]
- Flowchat in [DOT][14] for your pipelines ([Details][15]).
- Highly reusable processes (see [a set of highly reusable bioinformatics processes][24]).
- [Aggregations (a set of processes predefined).][16]
- Detailed [documentation][1] and [API documentation][2].

## Requirements
- Linux, OSX or WSL (Windows Subsystem for Linux)
- Python 2.7+ (python3 supported)

## Installation
```bash
# install latest version
git clone https://github.com/pwwang/pyppl.git
cd pyppl
python setup.py install
# or simly:
pip install git+git://github.com/pwwang/pyppl.git

# install released version
pip install pyppl
```

## First script<commit_msg>Updates README.md<commit_after># pyppl - A python lightweight pipeline framework
![Pypi][22] ![Github][23] ![Gitbook][21]   

[Documentation][1] | [API][2] | [Change log][19] | [FAQ][26] | [Fork me][3]

<!-- toc -->
## Features
- Supports of any language to run you processes.
- [Automatic deduction of input based on the process dependencies.][4]
- [Different ways of exporting output files (including `gzip`).][5]
- [Process caching (including caching using exported files).][6]
- [Expectations of process output.][25]
- [Flexible placeholder handling in output and script settings.][7]
- [APIs to modify channels.][8]
- [Different runners to run you processes on different platforms.][9]
- [Runner customization (you can define your own runner).][10]
- [Callfronts/Callbacks of processes.][11]
- [Error handling for processes.][12]
- [Configuration file support for pipelines.][13]
- Flowchat in [DOT][14] for your pipelines ([Details][15]).
- Highly reusable processes (see [a set of highly reusable bioinformatics processes][24]).
- [Aggregations (a set of processes predefined).][16]
- Detailed [documentation][1] and [API documentation][2].

## Requirements
- Linux, OSX or WSL (Windows Subsystem for Linux)
- Python 2.7+ (python3 supported)

## Installation
```bash
# install latest version
git clone https://github.com/pwwang/pyppl.git
cd pyppl
python setup.py install
# or simly:
pip install git+git://github.com/pwwang/pyppl.git

# install released version
pip install pyppl
```

## First script
{'fraction_non_alphanumeric': 0.13900897904888593, 'fraction_numerical': 0.02793481875623545, 'mean_word_length': 4.7846153846153845, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, 'https://': 2, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '2154485', 'n_tokens_mistral': 989, 'n_tokens_neox': 904, 'n_words': 328}