Tesseract Core – Autodiff-native, self-documenting software components
Tesseract Core is a command line app + Python SDK that lets scientists and engineers wrap complex scientific and machine learning code into containerized, self-documenting, differentiable functions—making them easier to use, compose, serve, share, and deploy. Its main use case is to build end-to-end differentiable pipelines consisting of wildly different components like physical simulators, geometric operators like differentiable meshers / renderers, generic data transforms, and neural networks. Just installing these heterogeneous components can be a challenge for scientists who simply…
Tesseract Core – Autodiff-native, self-documenting software components launched on March 10, 2025 with 15 votes, #1,370 of 7,215 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 1 year on.
In plain words
Tesseract Core is a command line tool and Python SDK that wraps scientific and machine learning code into containerized, self-documenting, differentiable functions. It enables scientists and engineers to build end-to-end differentiable pipelines combining physical simulators, geometric operators, data transforms, and neural networks. The tool simplifies installation and integration of heterogeneous components into optimization-driven workflows, using Pydantic as its foundation to streamline development.
written from the facts on this page · September 2026
From the sources
Universal components for differentiable scientific computing. :package: - pasteurlabs/tesseract-core
In the maker’s words, at launch
Tesseract Core is a command line app + Python SDK that lets scientists and engineers wrap complex scientific and machine learning code into containerized, self-documenting, differentiable functions—making them easier to use, compose, serve, share, and deploy. Its main use case is to build end-to-end differentiable…
Does a similar job
all alternatives →
tesserocr – A Python wrapper for the tesseract-ocr API2016 · github.com · ▲78A Python wrapper for the tesseract-ocr API. Contribute to sirfz/tesserocr development by creating an account on GitHub.
Tesseract.js – Pure JavaScript OCR for 60 Languages2016 · github.com · ▲727Pure Javascript OCR for more than 100 Languages 📖🎉🖥 - naptha/tesseract.js
TesslFeb 2026 · tessl.io · ▲260I'm Guy, the founder behind Snyk — now building Tessl, a package manager for agent skills. We’ve recently witnessed that most teams still treat skills as static artifacts: markdown files, created or copied from repo to repo. This approach offers a strong initial boost, but quickly creates debt: - Skills are duplicated, and updates never roll out. - Poor quality skills go unseen, misguiding agents instead of helping. - Skill knowledge grows stale, and don’t keep up with the systems and practices they describe. Without a way to evaluate skills, teams have no clear way to understand how good a…
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…
More ai this month
the category →
Paintings by AI models: programs run through a simulation of oil paint.
AI · 20d ago · stillwet.art
PixVerse R2▲381A real-time world model you can explore and change
AI · 29d ago · world.pixverse.video
Source: Show HN post ↗ · launch text quoted in part
Launched alongside, March 2025
the whole month →
Mimic Human Research & Save Findings in AI Knowledge Base
AI · 2025 · sider.ai
