News and announcements

Hypy 0.8.3 Major documentation release

Written for Hypy by Cory Dodt on 2009-02-23

* Massively improved docstrings and internal documentation. An extensive
  examples document is now available at http://goonmill.org/hypy/examples.tsw

* Filter out null bytes while indexing.

* Improve performance of attribute searches.

* Add a teaser rst format i.e. **foo**

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Hypy 0.8.2 minor bugfix release

Written for Hypy by Cory Dodt on 2009-01-21

Hypy is a fulltext search interface for Python applications. Use it to index
and search your documents from Python code. Hypy is based on the
estraiernative bindings by Yusuke Yoshida.

* Fast, scalable
* Perfect recall ratio by N-gram method
* High precision by hybrid mechanism of N-gram and morphological analyzer
* Phrase search, regular expressions, attribute search (including numeric and date comparisons), and similarity search
* Simple and powerful API

Homepage, downloads, everything, etc.: http://goonmill.org/hypy/

This is of course on pypi and can be installed with easy_install or pip. You will need Hyper Estraier installed to use it.

Release Version 0.8.2 (2009-01-20)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

* I was unconditionally importing ez_setup in my setup.py and that makes it
  hard to easy_install. Don't do that.
* No library functionality change, but now more users can install it.

Updated on 2009-01-21. Read more

Hypy 0.8.1 (first public release!)

Written for Hypy by Cory Dodt on 2008-12-16

Hypy is a fulltext search interface for Python applications. Use it to index
and search your documents from Python code. Hypy is based on the
estraiernative bindings by Yusuke Yoshida.

* Fast, scalable
* Perfect recall ratio by N-gram method
* High precision by hybrid mechanism of N-gram and morphological analyzer
* Phrase search, regular expressions, attribute search (including
numeric and date comparisons), and similarity search
* Simple and powerful API

Homepage, downloads, everything, etc.: http://goonmill.org/hypy/

This is of course on pypi and can be installed with easy_install or
pip. You will need Hyper Estraier installed to use it.

Release Version 0.8.1 (2008.12.15)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

* Initial Public Opensourcing.

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