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Picalo
Picalo Data Analysis Software is an application that helps data analysts, fraud investigators, and auditors search through data sets for anomalies, trends, and other information.
Picalo is an open framework. Users can either use the built-in routines or write their own. Those who write their own can share their routines with others in the Picalo community. The goal is to create a large set of analysis routines that meet many different needs--on a scale that a single company could never do.
The philosophy of Picalo is to bridge the gap between technically-oriented analysts and non-technical analysts. Data analysts who know basic scripting routines (for loops, for example), are more efficient and effective than those who do not--usually by several orders of magnitude. Picalo allows those who are technical to quickly write wizard-based analyses that others in an organization can use. See the user manual for more information about the plugin Detectlet architecture.
Picalo includes advanced analysis routines not found in competing products. For example, it supports grouping by a number of days for analysis of labor and time card data. Picalo can also automatically group records to achieve a specified degree of smoothness in data.
Picalo's language is based in Python, a powerful and easy-to-learn language. Rather than creating its own language (like competing packages do), Picalo rises on the shoulders of an extremely well-done language. You can download any of thousands of Python libraries from the Internet to use in your analyses.
Last updated 11 Nov, 2005
About
Leadership
- Conan Albrecht - Maintainer
Requirements
- mxDateTime (Use Requirement)
- wxPython (Use Requirement)
- pstat.py (Use Requirement)
Versions
2.15
2.15 released on 2005-11-10
- Released: 10 Nov, 2005
- Code Maturity: Stable
- Source Archive: http://warp.byu.edu/Picalo?action=AttachFile&do...
- Licenses: GPLv2
- Interfaces: X Window System
User Community and Support
Installation adn User documentation included and for download at http://warp.byu.edu/Picalo?action=AttachFile&do=get&target=PicaloManualV2.pdf



