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Dev tools · January 5, 2026

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WOLS – Open standard for mushroom cultivation tracking

I built an open labeling standard for tracking mushroom specimens through their lifecycle (from spore/culture to harvest). v1.1 adds clonal generation tracking (distinct from filial/strain generations) and conforms to JSON-LD for interoperability with agricultural/scientific data systems. Spec (CC 4.0): https://wemush.com/open-standard/specification Client libraries (Apache 2.0): Python + CLI: pip install wols (also on GHCR) TypeScript/JS: npm install @wemush/wols Background: Mycology has fragmented data practices (misidentified species,…

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In plain words

WOLS is an open standard for tracking mushroom specimens throughout their cultivation lifecycle, from spore or culture to harvest. It uses JSON-LD format to enable interoperability with agricultural and scientific data systems, and version 1.1 adds clonal generation tracking separate from strain generations. The standard is available under Creative Commons licensing, with client libraries for Python and TypeScript/JavaScript. It addresses fragmentation in mycology data practices by providing a shared vocabulary for specimen identification and genetic tracking.

written from the facts on this page · September 2026

From the sources

In the maker’s words, at launch

I built an open labeling standard for tracking mushroom specimens through their lifecycle (from spore/culture to harvest). v1.1 adds clonal generation tracking (distinct from filial/strain generations) and conforms to JSON-LD for interoperability with agricultural/scientific data systems. Spec (CC 4.0): https://wemush.com/open-standard/specification Client libraries (Apache 2.0): Python + CLI: pip install wols (also on GHCR) TypeScript/JS: npm install @wemush/wols Background: Mycology has fragmented data practices (misidentified species, inconsistent cultivation logs, no shared vocabulary for tracking genetics across generations). This is an attempt to fix that. Looking for feedback from anyone working with biological specimen tracking, agricultural data systems, or mycology.

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