Metadata-Version: 2.1
Name: projectpredict
Version: 0.0.1a2
Summary: A library to help schedule projects intelligently.
Home-page: https://github.com/JustinTervala/ProjectPredict
Author: Justin Tervala
Author-email: jgtervala@gmail.com
License: MIT
Download-URL: https://github.com/JustinTervala/ProjectPredict/archive/v0.0.1a2.tar.gz
Description: # ProjectPredict
        
        ProjectPredict is a library to help project managers gain insight into the status of their project using Bayesian
        networks. It is inspired by the paper ["Project scheduling: Improved approach to incorporate uncertainty using Bayesian
        networks](https://www.pmi.org/learning/library/project-scheduling-approach-incorporate-uncertainty-2371)
        (Khodakarami, Fenton, & Neil, Project Management Journal, 2007). The project features
        
        * Inferring the latest start date, earliest finish date, and total float for each task in a project
        * Recommending which task or tasks should be started next using custom constraints and objective functions
        * Task duration specified either through 
          [three-point (PERT) estimation](https://en.wikipedia.org/wiki/Three-point_estimation) or inferring the duration of a 
          task from a custom machine learning model
        * Visualization of a project timeline using [Matplotlib](https://matplotlib.org)
        
        ## Installation
        The easiest way to install ProjectPredict is to install it from PyPI using pip
        
        `pip install projectpredict`
        
        ## Documentation
        
        More information can be found [here](http://projectpredict.readthedocs.io/en/latest/)
Keywords: scheduling,project management
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Topic :: Office/Business :: Scheduling
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
