Blosc2 4.1 Release!
We've packed this minor release: optimised compression and funcs for unicode arrays; cumulative reductions; memory-map support for store containers like `DictStore` ; and a DSL kernel functionality for faster, compiled, user-defined funcs!π
Notebook here - https://github.com/Blosc/python-blosc2/blob/main/examples/ndarray/mandelbrot-dsl.ipynb
π’ OSS Synergy : Blosc2 π€ OpenZL π
Exciting pluginπannouncement - you can now use the new OpenZL compression ποΈ library from Blosc2: https://github.com/Blosc/blosc2-openzl!
It's as simple as
πΜ²πΜ²πΜ²βΜ²πΜ²πΜ²πΜ²πΜ²πΜ²πΜ²πΜ²βΜ²πΜ²πΜ²πΜ²πΜ²πΜ²πΈΜ²βΜ²πΜ²πΜ²πΜ²πΜ²π£Μ²πΜ²
and just like that, OpenZL compression + Blosc2 compute engine!
Thanks to Yann Collet, his team and all contributors to the OpenZL project - check it out here https://openzl.org/.
Find out more about how the Blosc team implemented this plugin here β© https://blosc.org/posts/openzl-plugin/
π¨ Double threat!: Blosc2 3.12.2 + Caterva2 2025.12.3 release!π¨
β
Streamlined computation for LazyUDFs
β
Upload LazyUDFs for server-side execution in Caterva2
And as another consequence, Numba can now be integrated into your Blosc2 LazyUDF workflow very easily!
To round off our presentation of the shiny new Cat2Cloud product, we have a final π ironPill πon data handling from the web client π .
See how to move β‘οΈ , copy Β©οΈ and perform other file management operations easily from the prompt box!
Stop downloading, start doing! π¨
The crown jewel of Cat2Cloud π !
With Cat2Cloud released this week we continue our πironPill series with a video on the most exciting feature of our platform: πΏπ²πΊπΌππ² π·ππ½πππ²πΏ π»πΌππ²π―πΌπΌπΈπ!
βοΈ cloud-based computation
βοΈ cloud-hosted data
βοΈ cloud-hosted jupyter notebooks!
π Rapidly prototype code, explore data and share insights with your team, computing efficiently on shared data - all from the browser!
β‘No environment headaches, no waiting for computations - all wrapped in a seamless interface!
ironArray is on a roll π !
With Cat2Cloud released this week we continue our πironPill series with another video, showing you how to browse your cloud-hosted data βοΈ in the bespoke web client!
Visualise and manage all kinds of data formats - from arrays to jpgs πΌοΈ, markdown to PDFs π !
π’π¨Blosc2 3.11.0 Released! π¨ π’
Blosc2 also now features as a part of the NumPy array library ecosystem: https://numpy.org/
In v3.11, Blosc2 has become even more flexible; all functions can accept basically any array object! That's right:
ππππππΈ.ππππππ(π°, π±)
will work directly for π°, π± PyTorch, Jax, NumPy, Tensorflow, Zarr... arrays!
**Plot: computation (for NumPy, Blosc2, Pytorch) on NxNxN arrays from the three libraries. Machine has 32GB of RAM **
πIronPill 2π
In the second of our series of short videos ("ironPills") showcasing ironArray's work, we see how Blosc2 can be used to power heavy-duty linear algebra (100GB!) workflows
β‘1.5-2x faster than PyTorch + h5py!
𧱠automated chunking optimised for your machine's cache hierarchy
π simple one-line syntax ππππππΈ.ππππππ(π°, π±, πππππππ='πππ.ππΈππ')
See blog here: https://ironarray.io/blog/la-blosc
π IronPill 1π
In the first of a series of short videos ("ironPills") showcasing ironArray's work, we see how Blosc2 can be used to calculate Fourier approximations:
β‘5x faster than NumPy
π£ fraction of the memory footprint
π pythonic one-line syntax πππ(πβ*βπππ(π)β+βπβ*βπππ(π),βππ‘ππ=π·)
See full notebook here: https://github.com/Blosc/python-blosc2/blob/main/examples/ndarray/ironpill1.ipynb
(inspired by this blog post: https://towardsdatascience.com/numexpr-the-faster-than-numpy-library-that-no-ones-heard-of/)
π’Blosc2 3.10.2 Released! π’
Building on the functions introduced in version 3.9, we have extended lazy evaluation to general expressions with ALL blosc2 functions in version 3.10.
Blosc2's compute engine ingests many array formats, as well as blosc2 arrays, with impressive results - see the graphic below!
Details on the comparisons in our blog: https://www.blosc.org/posts/tensordot-pure-persistent/
Blosc2's compute engine also powers Cat2Cloud (visit the demo site here https://cat2.cloud/demo/)!
