🚀 C-Blosc2 3.1.0 is here! New in this release: sparse coordinate getters for faster random access, header-only b2nd metalayer access for plugins (no libblosc2 link needed), and new codec IDs for J2K/HTJ2K support. 🧩⚡ Release notes: github.com/Blosc/c-blos... Compress better, compute bigger! 💥

Reaching 5 milions monthly downloads in PyPI is something to celebrate! 🥳 🥳 Thanks to all our users! This makes us happy for continuing working tirelessly for providing high quality compression for storage, computation for arrays, and now, for tabular data too! 🙏 #DataCompression #Computation

Did you know that in recent Python-Blosc2 4.2.0 we released extremely efficient indexing engines that can store data in (guess what) ...compressed state? As a result, much larger tables can be indexed. Look at how this fares against other good indexing engines in plots below. Enjoy! #TabularData

Python-Blosc2 4.2.0 is out 🎉 Meet `CTable`: a new compressed columnar container with null support, fast queries, and easy Arrow/Parquet interoperability. Compress better, analyze faster. Release notes: github.com/Blosc/python...

🚀 C-Blosc2 3.0.0 is here! With variable length support, better compression, streamlined threading and more safety protections, C-Blosc2 3.0.0 makes compressed, persistent binary data storage more scalable, flexible, and production-ready. Release notes: github.com/Blosc/c-blos... Enjoy!

📣 C-Blosc2 3.0.0-rc2 is out 🚀 Big highlight: a new shared managed thread pool for parallel execution. ✅ With this and previous work, C-Blosc2 will become specially useful for storing variable length data, using extremely low resources. github.com/Blosc/c-blos... #CBlosc2 #Compression #OpenSource

🚀 C-Blosc2 3.0.0 RC1 is out! What's new? 📦 VL-blocks for irregular data (strings, JSON) 🗜️ LZ4/LZ4HC dictionary compression 🛡️ Important safety fixes Check out the full release notes here: github.com/Blosc/c-blos... Give it a spin and provide feedback! #Blosc2 #OpenSource #C

Look at the bump in performance that we will see with the next Python-Blosc2 release. Matrix multiplication has been speeded up by using blocks and Blosc2 prefilters and its own efficient and multithreaded engine. Expect between 5x and 6x better speed for matrices with no padding.

We designed DSL kernels in Blosc2 so that they can be used in the main platforms; nowadays this necessarily includes Web Assembly (WASM) in the browser. We also implemented a new JIT compiler for WASM specially meant for Blosc2 DSL kernels. Play with it at: cat2.cloud/demo/roots/@... Have fun!

New DSL kernels in Python-Blosc2, being parallelizable and JIT-compiling capable, can accelerate code quite a bit 🚀 For example, linspace() has been rewritten to use DSL kernels, and performance boost is well beyond expectations.

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!👇️ Notebook - github.com/Blosc/python...)

Super-efficient DSL kernels are coming with forthcoming Python-Blosc 4.1.0. A DSL kernel is a function that takes ndarray objects as input and returns a ndarray object as output. Performance with classic Mandelbrot is kind of mind-blowing. See github.com/Blosc/python... for full notebook.

The new engine in Python-Blosc2 4.0 delivers quite awesome performance results. Processing a 400 MB array can be up to 9.6x faster than NumPy 🤯 The best part is that it fully supports NumPy's array and ufunc interfaces. High performance with zero friction! 🏎️💨 ironarray.io/blog/miniexp... Enjoy!

Python-Blosc2 just became a compute powerhouse. ⚡️ v4.0 integrates `miniexpr`: computing on cache-friendly blocks instead of RAM-heavy chunks. 🚀 Result? Massive speedups for memory-bound tasks (up to 4.5x in Cat2Cloud). See benchmarks: ironarray.io/blog/miniexp... #Python #HPC #DataEngineering

📢 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 😀