I built a dependency graph for the tree of human science
Maps entire human science as derivation chains, but execution incomplete and dataset coverage unproven.
Open-source framework for computational formulation science from ingredient validation to autonomous mixture optimization. The missing infrastructure layer between single-molecule tools (RDKit) and real-world formulation.
RDKit handles molecules; this handles mixtures — a genuine infrastructure gap.
Formulation scientists, computational chemists, pharma researchers
RDKit · DeepChem
pip install openmix. Apache 2.0.
Technical blog: https://vijayvkrishnan.substack.com/p/the-missing-layer-in-c...
Maps entire human science as derivation chains, but execution incomplete and dataset coverage unproven.
Just a Perplexity query result, not a tool you can actually use.
Build your own javac compiler course walks through every phase from lexer to bytecode generation.
Checksum-based computation identity beats Make and DVC for reproducible pipelines.
Accessibility tree beats screenshot tokens, per-step model control is genuinely clever.
Yet another PCAP analyzer competing with Wireshark and Zeek.