Analyzed
10 months
ago.
based on code collected
over 1 year
ago.
Project Summary
Fast Artificial Neural Network Library (FANN) implements multilayer artificial neural networks in C. It is cross-platform, easy to use, versatile, well documented and fast. C++, PHP, PERL, Python, Delphi, .NET, Mathematica bindings and a GUI is available
In a Nutshell, Fast Artificial Neural Network Library...
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has a well established, mature codebase
maintained by a small development team
with increasing Y-O-Y commits -
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took an estimated 52 years of effort (COCOMO model)
starting with its first commit in September, 2011
ending with its most recent commit about 1 year ago
MIT
Permitted
Commercial Use
Modify
Distribute
Place Warranty
Use Patent Claims
Forbidden
Sub-License
Hold Liable
Required
Distribute Original
Disclose Source
Include Copyright
State Changes
Include License
Include Install Instructions
These details are provided for information only. No information here is legal advice and should not be used as such.
Project Security
Vulnerabilities per Version ( last 10 releases )
There are no reported vulnerabilities
Project Vulnerability Report
Security Confidence Index
Poor security track-record
Favorable security track-record
Vulnerability Exposure Index
Many reported vulnerabilities
Few reported vulnerabilities
Did You Know...
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by exploring contributors within projects, you can view details on every commit they have made to that project
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