📢 Blosc2 🤝 OpenZL 🔁 Use the OpenZL compression 🗜️ library from Blosc2: github.com/Blosc/blosc2...! 𝚙̲𝚒̲𝚙̲ ̲𝚒̲𝚗̲𝚜̲𝚝̲𝚊̲𝚕̲𝚕̲ ̲𝚋̲𝚕̲𝚘̲𝚜̲𝚌̲𝟸̲–̲𝚘̲𝚙̲𝚎̲𝚗̲𝚣̲𝚕̲ and just like that, OpenZL compression + Blosc2 compute engine! Check out the OpenZL project openzl.org. Inside story on the plugin ⏩️ blosc.org/posts/openzl...

🚀 Our #PyDataGlobal 2025 tutorial on modern #Blosc2 & #Caterva2 features is out! Learn how compression boosts array performance & enables cloud computing without downloads. ☁️ Watch here: 👇 www.youtube.com/watch?v=tUvS... #Python #HPC #DataScience #BigData

🤔 Can a library that computes on compressed data actually outperform performance heavyweights like NumPy and NumExpr? Find some surprising answers 👉 www.blosc.org/posts/roofli... During the walk, I'm also introducing a funny anecdote back when NumPy was a 👶 Enjoy! #Blosc2 #HPC #NumPy #Numexpr

To round off our presentation of the shiny new Cat2Cloud product, we have a final 💊 ironPill 💊on data handling from the web client 🌐 . See how to move ➡️ , copy ©️ and perform other file management operations easily from the prompt box! Stop downloading, start doing! 🔨

ironArray is on a roll 🚅! With Cat2Cloud released this week we continue our 💊ironPill series with another video, showing you how to browse your cloud-hosted data ☁️ in the bespoke web client! Visualise and manage all kinds of data formats - from arrays to jpgs 🖼️, markdown to PDFs 📄 !

Excited to be part of this data story! ❤️

Tired of downloading large datasets? Cat2Cloud is now live! 🚀 Bring computation directly to your data. Host, run, and share workflows with incredible speed. ⚡ Read the announcement: ironarray.io/blog/cat2clo... #Cat2Cloud #BigData #DataScience #Python #HPC

Stop downloading. Start computing. Everything changes on November 18, 2025. #Cat2Cloud is coming.

Our Blosc2 tutorial for @euroscipy.bsky.social 2025 is up! Learn how compression boosts tensor data handling, sharing & computing. www.youtube.com/watch?v=BdpT... #DataScience #BigData #HPC #OpenSource

📢🚨Blosc2 3.11.0 Released! 🚨 📢 Blosc2 is part of the NumPy array library ecosystem: numpy.org In v3.11, Blosc2 has become even more flexible; all functions can accept basically any array object: 𝚋𝚕𝚘𝚜𝚌𝟸.𝚖𝚊𝚝𝚖𝚞𝚕(𝙰, 𝙱) for 𝙰, 𝙱 PyTorch, Jax, Tensorflow, Zarr... arrays! #Compute #Tensor #PyTorch

💊IronPill 2💊 See how Blosc2 powers heavy-duty linear algebra (100GB!) workflows ⚡1.5-2x faster than PyTorch + h5py! 🧱 optimised chunking for your cache hierarchy 🐍 one line syntax 𝚋𝚕𝚘𝚜𝚌𝟸.𝚖𝚊𝚝𝚖𝚞𝚕(𝙰, 𝙱, 𝚞𝚛𝚕𝚙𝚊𝚝𝚑='𝚘𝚞𝚝.𝚋𝟸𝚗𝚍') See blog here: ironarray.io/blog/la-blosc #Blosc2 #Data #LinearAlgebra

🚀 Want to boost performance in your complex calculations? Avoiding temporary arrays is critical! Check out our new video 🎬 to see how #Blosc2 eliminates these temporaries⚡ Compress Better, Compute Larger

📢Blosc2 3.10.2 Released! 📢 Lazy evaluation for ALL Blosc2 functions in version 3.10! Blosc2 powers: - Zarr/HDF5 computations (see image and blosc.org/posts/tensor...) - Server compuation via Cat2Cloud (demo site here cat2.cloud/demo/)! #Zarr #HDF5 #Python

There is no data wider than the one offered by the Milky Way! And with the right tools, you can do it all on your laptop.

This is really exciting news! 😍

🚀 Boost your Python computations on NumPy arrays with @blosc.jit! Let Blosc2's compute engine accelerate your code without changing containers. ⚡ For ultimate speed, native Blosc2 containers are still king. 🏎️ Code: gist.github.com/FrancescAlte... #Python #DataScience #NumPy #Performance #Blosc

🗣️ Announcing Python-Blosc2 3.8.0 🚀 A step closer to compliance with the array-api standard: data-apis.org/array-api! This is an effort across all array-based libraries so that your code works (e.g. for both blosc2 and NumPy) by simply changing the import statement below! #arrayapi #Blosc2

🗣️ Announcing C-Blosc2 2.21.2 This is a maintenance release, with a few fixes and some optimizations. Thanks to Barak Ugav and Preeyan Parmar. For more info, see the release notes in: github.com/Blosc/c-blos... Compress Better, Compute Bigger Enjoy!

Struggling to get performant code from LLMs? 🤔 We can help! 💪 We've spent countless hours profiling and micro-benchmarking Blosc2 for you. A thing that LLMs cannot do (yet). Ready to dive in? 🚀 🔹 EuroSciPy Talk: www.blosc.org/docs/2025-Eu... 🔹 Tutorial: github.com/Blosc/EuroSc... #HPC #Blosc2

📣Great to see the community building powerful tools on Blosc2! 🚀 Check out compress-image: a new C++/Python library for working with compressed images directly in memory. Kudos to Emil Dohne for this fantastic work! Project here: github.com/EmilDohne/co... #Blosc2 #FOSS #ImageProcessing

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!

🚀 We're thrilled to announce *TreeStore*, a new class in Python-Blosc2! Endow your datasets with a hierarchical structure! ⚡️ 📝 We've blogged about it: www.blosc.org/posts/new-tr... It's in beta, and available in Python-Blosc2 v3.7.2. Enjoy! #Python #Blosc2 #TreeStore #DataScience #OpenSource

Python-Blosc2 comes with an extensively tested partition sizes algorithm for automatically setting the best chunk and block sizes for you. But you can always bypass this mechanism for more appropriate fine-tuning in different scenarios 🚀 www.blosc.org/python-blosc... #Compression #Performance

🗣️ Announcing Python-Blosc2 3.6.1 ¡Unlock new levels of data manipulation with #Blosc2! 🚀 We've tamed the complexity of fancy indexing to make it intuitive, efficient, and consistent with NumPy's behavior. 👉 www.blosc.org/posts/blosc2... Enjoy #Python #DataScience #BigData #NumPy #Performance

🚀 Blosc2 supports memory-mapped files for super-efficient data access! 🚀 ✨ Why memory-mapping? 1️⃣ No system call overhead for each read/write 2️⃣ Data goes straight from page cache to user space—much faster than traditional I/O! 👉 github.com/Blosc/python... #DataScience #Performance #BigData 🚀💾

#Blosc2 now runs directly in your browser! Leveraging the power of #WASM, #Pyodide, and #JupyterLite, you can harness efficient, adaptable compression through the web's universal interface. Compress Better, Compute Bigger, Share Faster #WebAssembly #DataCompression #WebDevelopment #DataScience

🗣️ Announcing Python-Blosc2 3.5.1 🚀 This introduces significant performance and memory optimizations, enhancing the experience of computing with large, compressed datasets using lazy expressions. Compress Better, Compute Bigger! #Performance #MemoryEfficiency #DataScience

Struggling with slow I/O in #HDF5? Try #Blosc2 as a filter or I/O data handler — faster data, less pain! 👉 www.blosc.org/posts/pytabl... #Performance #DataScience

📣Python-Blosc2 3.5.0 is out! 🚀 This release introduces the powerful stack() function! 🥞 You can now stack multiple Blosc2 NDarrays along a new axis, similar to np.stack(), while getting great performance. We have blogged about it here: www.blosc.org/posts/blosc2... Compress Better, Compute Bigger

📢 We are pleased to announce the integration of a new stack feature in #Blosc2 🚀, which allows for stacking large arrays along a new axis. We've updated our recent blog post: Check it out! 👇 www.blosc.org/posts/blosc2... Compress Better, Compute Bigger #Python #DataScience #Performance #OpenSource

#Python-Blosc2 is hitting 1 million weekly downloads on PyPI! 🎉 Users are rapidly adopting #Blosc2, which now accounts for over 95% of downloads compared to Blosc1. 📈 Thanks to our amazing users. 🙏 🚀 Our motto: Compress Better, Compute Bigger! 💪 #Milestone #CommunitySupport #DataCompression

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...

💡 Did you know you can supercharge your #HDF5 datasets with #Blosc2? 🚀 Leverage hdf5plugin (hdf5plugin.readthedocs.io) to integrate Blosc2 as a filter within HDF5. Create and read data using popular Python wrappers like h5py or PyTables, while achieving excellent performance! 💨 Compress Better!

🚀 Meet b2h5py: Supercharge your HDF5 data access! ⚡️ Unlock faster reading of Blosc2-compressed HDF5 datasets. Achieve up to 2x-5x speed-ups in reading compared to standard methods! 💨 github.com/Blosc/b2h5py Compress better! #HDF5 #DataAccess #Blosc2 #DataScience #Optimization #Performance

Python-Blosc2 3.3.3 is live! ✨ Bug fixes, smoother string lazy expressions, and Windows mmap improvements thanks to the latest C-Blosc2. Upgrade now: pip install blosc2 --update Learn more: github.com/Blosc/python... #Python #Blosc2 #DataScience Compress Better, Compute Larger

🗣️New blog entry of Ricardo Sales Piquer, our intern working in linear algebra problems: Make NDArrays Transposition Fast (and Compressed!) in #Blosc2 🚀 www.blosc.org/posts/optimi... Great work Ricardo! 🎉 #Compression #LinearAlgebra #Optimization #DataScience Compress Better, Compute Faster 😀

Pleased to see Blosc2 contributing to excellent Cat2Cloud service! 👏

📣 New video tutorial 🎥✨ 🧮 The basics of an NDArray object in Blosc2 ⚡ Lazy expressions for efficient computation 🌍 Caterva2: Access your data through network 🎬 Watch it: www.youtube.com/watch?v=aR-i... Don't miss out—learn, explore, and level up your data skills! 🚀 #DataScience #Compression

Dealing with remote Blosc2 datasets has never been easier 😊 Follow the video interactively with: github.com/ironArray/Ca... Welcome to the team, Luke!

📣 Announcing the release of Python-Blosc2 3.3.0: 🔄 New blosc2.transpose() ⚡️ New fast path for NDArray.slice() - up to 40x speedup 🔧 NDArray.slice() now preserves compression params 📝 Improved documentation Thanks to all contributors! github.com/Blosc/python... Compress Better, Compute Bigger! 😀

🚀 Blosc2 is blasting groundbreaking compression and computing power straight to the cloud! 🔥💡

📢 🔥 Article on Blosc2: Compute with TB-sized datasets on your own hardware! 🚀 Outperforms NumPy by 10x ~ 100x for large computations 🐍 Integrates seamlessly with the Python data science ecosystem 💻 Works both in-memory and on-disk with minimal performance differences ironarray.io/blog/compute...

🔥 Blosc2 3.2.1: NumPy's best friend! 🔥 blosc2.jit + NumPy array interface = blazing fast, direct compressed data crunching! See how: github.com/Blosc/python-blosc2/blob/main/examples/ndarray/jit-numpy-funcs.py #DataScience #Python #Compression Compress Better, Compute Bigger!

We've poured our hearts into creating comprehensive documentation for Python-Blosc2. Explore the latest resources at: - www.blosc.org/python-blosc2/ Your feedback is invaluable in shaping these materials to better serve the community. Let us know what you think! Compress Better, Compute Bigger!

📢 We are happy to announce the release of Python-Blosc2 3.2.0! This release introduces the new blosc2.matmul() function. We have written a nice blog: www.blosc.org/posts/optimi... Lastly, we are excited to introduce WASM32 wheels for the first time. More info at: github.com/Blosc/python... Enjoy!

Did you know that you can use the @blosc2.jit decorator to accelerate your computations with NumPy by 10x and more by just adding a single line to your function? No need to add loops manually, just add @blosc2.jit and it will do its magic! Compress Better, Compute Bigger!

📢 C-Blosc2 2.17.0 is out with the next improvements: * Support for type sizes larger than 255 (and up to 512MB). * Fix a leak in the pthreads emulation for Windows. Fixes 647. * Update zstd to 1.5.7. Thanks to Tom Birch. See the release notes in: github.com/Blosc/c-blos... Enjoy data!

Blosc compression helped fighting memory bottlenecks for 15 years now! 🎂 See how Dask + Zarr benefits from it. But vertical integration between compression and the compute engine in newest Python-Blosc2 makes a big difference in terms of speed ⚡ and scalability 🤟 #Compress better, #Compute bigger!

Did you know that with python-blosc2 you can select an arbitrary precision of floating point data? This allows for a much better compression ratio: from 2x up to 100x. And still performing like a champ ⚡⚡ More info: www.blosc.org/python-blosc2/ Compress better, compute bigger! #compute #compress

Just fixed a long standing bug that prevented structured dtypes of more than 255 bytes in python-blosc2. The new limit is 512 MB, just for the dtype; the limit for datasets continues to be about an Exabyte (2**60 bytes!). github.com/Blosc/python...