Skip to content

alsafer/jmatio

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

10 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

jmatio

JMatIO - Matlab's MAT-file I/O in JAVA

JMatIO is a JAVA library to read/write/manipulate with Matlab binary MAT-files.

If you would like to comment, improve, critisize the project please email me: [email protected]

or visit JMatIO project page at Sourceforge: http://www.sourceforge.net/projects/jmatio

Subversion Access

This project's SourceForge.net Subversion repository can be checked out through SVN with the following instruction set:

svn co https://jmatio.svn.sourceforge.net/svnroot/jmatio/trunk jmatio

Have fun :)

Wojciech Gradkowski

CHANGE LOG:

[09-10-2014]

  • Changing to maven nature
  • Adding query parsing

[2012-12-03]

  • Adding supprot for Java objects and Objects
  • Performance optimization

[05.10.2007]

  • Sparse matrix bugfixes by Jonas Pettersson (LU/EAB)
  • MatFileReader performance enhancements by Eugene Rudoy
  • new MatFileReader methods added

[02.03.2007]

  • Regression bug fixed: Double arrays created natively in Matlab are read incorrectly (reversed byte ordering)

[22.02.2007]

  • Added support:UInt8 array
  • MAJOR reading performance enhancement - reading is as fast as in Matlab now
  • Removed Log4j references

TODO:

  • Other array types (serialized objects (OPAQUE) is done partially)
  • Writer performance enhancement
  • Documentation and examples
  • Organize JUnit tests
  • Refactor exceptions
  • Make structures and cell arrays more user friendly

NOTE: Numerical arrays (MLDouble, MLUint8) are now backed by direct ByteBuffers. For really BIG arrays the maximum heap size for direct buffers may be modified by -XX:MaxDirectMemorySize=

[some.time.2006] Currently supproted data types are:

  • Double array
  • Char array
  • Structure
  • Cell array
  • Sparase array

About

JMatIO - Matlab's MAT-file I/O in JAVA

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Java 100.0%