ANN: PyTables 3.4



Announcing PyTables 3.4


We are happy to announce PyTables 3.4.1. PyTables 3.4.0 was immediately

followed by a bugfix release 3.4.1. This announces both 3.4.0 and 3.4.1

What’s new


The most important feature of PyTables 3.4 is support for HDF5 v1.10.x, while

maintaining compatiblity with HDF5 1.8.x. Also, the internal Blosc version

was updated to 1.11.3 which fixes a critical bug on big-endian machines.

The release includes many small bugfixes.

In case you want to know more in detail what has changed in this

version, please refer to:

You can install it via pip or download a source package with generated

PDF and HTML docs from:

For an online version of the manual, visit:

What it is?


PyTables is a library for managing hierarchical datasets and

designed to efficiently cope with extremely large amounts of data with

support for full 64-bit file addressing. PyTables runs on top of

the HDF5 library and NumPy package for achieving maximum throughput and

convenient use. PyTables includes OPSI, a new indexing technology,

allowing to perform data lookups in tables exceeding 10 gigarows

(10**10 rows) in less than a tenth of a second.



About PyTables:

About the HDF5 library:

About NumPy:



Thanks to many users who provided feature improvements, patches, bug

reports, support and suggestions. See the THANKS file in the

distribution package for a (incomplete) list of contributors. Most

specially, a lot of kudos go to the HDF5 and NumPy makers.

Without them, PyTables simply would not exist.

Share your experience


Let us know of any bugs, suggestions, gripes, kudos, etc. you may have.

Enjoy data!

– The PyTables Developers