Inspired by the ESA's Gaia Milky Way map 🌌!

At SciPy 2023, we showcased visualizing a massive 7.3 TB Gaia dataset on a standard laptop by compressing it to 1.8 GB using #Blosc2. Big data analysis for everyone! 🚀

Dataset: digistorage.es/links/652403...
Paper: www.blosc.org/docs/Explori...

#napari

The slides of my talk about _Blosc2: Compress Better, Compute Bigger_ for the recent @euroscipy.bsky.social:
www.blosc.org/docs/2025-Eu...

EuroSciPy 2025 was great! A human sized event with lots of interesting talks and people ready to help you. Thanks to the organizers for such a fantastic event!

📢 Blosc2 just launched a super-efficient array concatenation feature! 🎉

Combine massive arrays quickly and with minimal memory. If your array chunks are aligned, it's even faster! Perfect for big data tasks.

Check out our blog post: www.blosc.org/posts/blosc2...

Compress Better, Compute Bigger

NumExpr 2.11.0 is here! 🎉

Key highlights:

🚀 Experimental support for free-threaded Python 3.13!
✨ Imaginary number evaluation like 1.1e1j is now fixed.
🐍 Python 3.10 is now the minimum supported version.

Check out the release notes for more details!
github.com/pydata/numex...

Enjoy data!

We're making HDF5, the standard for scientific data 📊, faster ⚡ and more versatile 🛠️. By integrating Blosc2 with HDF5, our Caterva2 platform allows you to natively serve ☁️, share 🤝, visualize 👀, and compute 💻 your HDF5 datasets with greater efficiency and ease.

Slides:
www.blosc.org/docs/2025-Eu...

Since the arrival of AI coding tools, getting matplotlib right starts to be pleasant again. The plot below just took 20 min to look this nice (even surpassing my expectations) 😀

Is it possible to compute with arrays that are 100x larger than memory and still achieve good performance? 🤯

With the new compute engine in Python-Blosc2, you can! 😊 Check out our blog post for more details: ironarray.io/blog/compute...

Compress Better, Compute Bigger!