Hi all,

I have just released chemfp 1.3. It is available from 
http://dalkescientific.com/releases/chemfp-1.3.tar.gz .

Chemfp is a set of command-line tools and a Python library for working with 
cheminformatics fingerprints. It can use Open Babel, RDKit, or Open Babel to 
create fingerprints in the FPS format, and it implements a high-speed Tanimoto 
search.

The software is available under the MIT license. For more information see 
http://chemfp.com/ . Documentation is available from 
http://chemfp.readthedocs.io/en/chemfp-1.3/ .

There are many changes over chemfp 1.1, which was the last release of the 
public/no-cost version of chemfp. The biggest ones are:

- Tested against the current version of all of the toolkits

- Added support for the Avalon and pattern fingerprints in RDKit

- In-memory Tanimoto searches for 166-bit MACCS keys on computers with the 
POPCNT instruction is about 30% faster.

- FPS loading is about 40% faster. As a result, file-based searches are about 
25% faster.

- The in-memory search algorithms in version 1.1 were parallelized with OpenMP, 
but the NxM k-nearest search was left out. That case is now also parallelized.

- Some of the APIs from the commercial version were backported to 1.3, 
including the fingerprint writer API and functions for substructure fingerprint 
screening.

- Added and improved docstrings

There is also some ... I'll say "highly experimental" .. work to support the 
new ECFP fingerprints. Contact me if decide to work on the Open Babel ECFP 
implementation and want chemfp support for them.

This release support Python 2.7 but it no longer supports Python 2.5 or Python 
2.6. The commercial version supports Python 2.7 and Python 3.5+, handles more 
than 4GB of fingerprint data, and has a binary fingerprint format for fast 
loading.

Cheers,

                                Andrew
                                da...@dalkescientific.com
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