===============================================================
  Announcing Blosc 1.2.1
  A blocking, shuffling and lossless compression library
===============================================================

What is new?
============

The most important features for this release are support for cmake
(tested on Linux, Mac OSX and Windows) and thread safety calls of
Blosc functions from threaded apps.

Many thanks for those who contributed to this release: Thibault North,
Antonio Valentino, Mark Wiebe, Valentin Haenel and Christoph Gohlke.

For more info, please see the release notes in:

https://github.com/FrancescAlted/blosc/wiki/Release-notes

What is it?
===========

Blosc (http://www.blosc.org) is a high performance compressor
optimized for binary data.  It has been designed to transmit data to
the processor cache faster than the traditional, non-compressed,
direct memory fetch approach via a memcpy() OS call.

Blosc is the first compressor (that I'm aware of) that is meant not
only to reduce the size of large datasets on-disk or in-memory, but
also to accelerate object manipulations that are memory-bound.

There is also a handy command line for Blosc called Bloscpack
(https://github.com/esc/bloscpack) that allows you to compress large
binary datafiles on-disk.  Although the format for Bloscpack has not
stabilized yet, it allows you to effectively use Blosc from you
favorite shell.

Download sources
================

For more details on what it is, please go to main web site:

http://www.blosc.org/

The github repository is over here:

https://github.com/FrancescAlted/blosc

Blosc is distributed using the MIT license, see LICENSES/BLOSC.txt for
details.

Mailing list
============

There is an official Blosc mailing list at:

bl...@googlegroups.com
http://groups.google.es/group/blosc


Francesc Alted

------------------------------------------------------------------------------
Introducing AppDynamics Lite, a free troubleshooting tool for Java/.NET
Get 100% visibility into your production application - at no cost.
Code-level diagnostics for performance bottlenecks with <2% overhead
Download for free and get started troubleshooting in minutes.
http://p.sf.net/sfu/appdyn_d2d_ap1
_______________________________________________
Pytables-users mailing list
Pytables-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/pytables-users

Reply via email to