Warp by PixelSpark
Convert and analyze large data sets at light speed
Warp by PixelSpark launched on April 11, 2016 with 3 votes. The site was still online in September 2026, 10 years on.
What it does
The spreadsheet as we know it is in dire need of a big data-ready replacement . The spiritual successor of the spreadsheet needs to be a tool for analyzing big data that combines powerful features with a mental model as simple as the traditional spreadsheet . So what are the options? A traditional spreadsheet like Excel is flexible and intuitive, but not so powerful in terms of big data analytics. There’s the traditional relational database, which can be quite powerful and flexible, but is nowhere near as easy to use (except, maybe, Access ). There are various BI tools such as Qlikview and Tableau , usually lacking in flexibility — and of course there are big data frameworks such as Hadoop…from t-shaped.nl
Does a similar job
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Run TRELLIS.2 Image-to-3D generation natively on Apple SiliconApr 2026 · github.com · ▲202I ported Microsoft's TRELLIS.2 (4B parameter image-to-3D model) to run on Apple Silicon via PyTorch MPS. The original requires CUDA with flash_attn, nvdiffrast, and custom sparse convolution kernels: none of which work on Mac. I replaced the CUDA-specific ops with pure-PyTorch alternatives: a gather-scatter sparse 3D convolution, SDPA attention for sparse transformers, and a Python-based mesh extraction replacing CUDA hashmap operations. Total changes are a few hundred lines across 9 files. Generates ~400K vertex meshes from single photos in about 3.5 minutes on M4 Pro (24GB). Not as fast as…



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