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Average Ratings 0 Ratings
Description
Mako offers a user-friendly, non-XML syntax that compiles into Python modules, ensuring optimal performance. Its syntax and API draw inspiration from various sources, such as Django, Jinja2, Cheetah, Myghty, and Genshi, integrating the best elements from each. At its core, Mako functions as an embedded Python language (akin to Python Server Pages), enhancing conventional concepts of componentized layout and inheritance to create a highly efficient and adaptable model. This design maintains a close relationship with Python's calling and scoping semantics, allowing for seamless integration. Since templates are ultimately compiled into Python bytecode, Mako's methodology is remarkably efficient, having been designed to match the speed of Cheetah initially. Presently, Mako's performance is nearly on par with Jinja2, which employs a similar technique and was influenced by Mako. Furthermore, it can access variables from both its enclosing scope and the request context of the template, providing additional flexibility for developers. This capability allows for greater dynamic content generation in web applications.
Description
Ruffus is a Python library designed for creating computation pipelines, known for being open-source, robust, and user-friendly, making it particularly popular in scientific and bioinformatics fields. This tool streamlines the automation of scientific and analytical tasks with minimal hassle and effort, accommodating both simple and extremely complex pipelines that might confuse traditional tools like make or scons. It embraces a straightforward approach without relying on "clever magic" or pre-processing, focusing instead on a lightweight syntax that aims to excel in its specific function. Under the permissive MIT free software license, Ruffus can be freely utilized and incorporated, even in proprietary applications. For optimal performance, it is advisable to execute your pipeline in a separate “working” directory, distinct from your original data. Ruffus serves as a versatile Python module for constructing computational workflows and requires a Python version of 2.6 or newer, or 3.0 and above, ensuring compatibility across various environments. Moreover, its simplicity and effectiveness make it a valuable tool for researchers looking to enhance their data processing capabilities.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Python
Yes
Coverage.py
Yes
Django
Yes
New Relic
Yes
SmartPOS by Petrosoft
Yes
Integrations
Python
Yes
Coverage.py
No
Django
No
New Relic
No
SmartPOS by Petrosoft
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Mako
Website
www.makotemplates.org
Vendor Details
Company Name
ruffus
Website
www.ruffus.org.uk