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What is ruffus?

Ruffus is a Python library tailored for building computation pipelines, celebrated for its open-source nature, robustness, and ease of use, which makes it especially favored in scientific and bioinformatics applications. This tool facilitates the automation of scientific and analytical processes with minimal complexity, efficiently handling both simple and highly intricate workflows that may pose challenges for conventional tools like make or scons. Rather than relying on intricate tricks or pre-processing methods, it adopts a clear and lightweight syntax that emphasizes functionality. Available under the permissive MIT free software license, Ruffus can be utilized freely and integrated into proprietary software as well. For best results, users are encouraged to run their pipelines in a designated “working” directory, separate from their original datasets, to ensure organization and efficiency. Serving as a flexible Python module for creating computational workflows, Ruffus requires Python version 2.6 or newer, or 3.0 and later, which guarantees its functionality across diverse computing environments. Its straightforward design and high efficacy render it an indispensable asset for researchers aiming to advance their data processing efficiencies while keeping their workflow management simple and effective.

What is broot?

The ROOT data analysis framework is a prominent tool in High Energy Physics (HEP) that utilizes its own specialized file format (.root) for data storage. It boasts seamless integration with C++ programs, and for those who prefer Python, it offers an interface known as pyROOT. Unfortunately, pyROOT faces challenges with compatibility for Python 3.4, which has led to the development of a new library called broot. This streamlined library is designed to convert data contained in Python's numpy ndarrays into ROOT files, organizing data by creating a branch for each array. The primary goal of this library is to provide a consistent method for exporting numpy data structures to ROOT files efficiently. Additionally, broot is crafted to be both portable and compatible across Python 2 and 3, as well as with ROOT versions 5 and 6, requiring no modifications to the existing ROOT components—only a standard installation is sufficient. Users will appreciate the straightforward installation process, as they can either compile the library once or install it conveniently as a Python package, making it an attractive option for data analysis tasks. This user-friendly approach is likely to encourage an increasing number of researchers to incorporate ROOT into their data analysis routines. Overall, the accessibility and functionality of broot enhance the versatility of using ROOT in various research settings.

Media

Media

Integrations Supported

Axis LMS
Python

Integrations Supported

Axis LMS
Python

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

ruffus

Company Website

www.ruffus.org.uk

Company Facts

Organization Name

broot

Company Website

pypi.org/project/broot/

Categories and Features

Categories and Features

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Python Software Foundation