Workshop / Layon
Layon
An ecological data tool that does not exist yet: a repository and four hypotheses about what would help ecologists, to be tested through interviews before anything is built.
- State
- On 16 Oct 2026 the repository still holds what it held on 30 Sept, the only day it changed: four commits, a Python package skeleton, a vision note, no working code; the interviews meant to decide whether it should exist have not started. m
- Runs on
- Nothing to run yet: a Python 3.12+ package, version 0.0.1
- Built with
- Python, uv, hatchling, pytest, ruff
- Data
- None in the repository
- Code
- Public, Apache-2.0: github.com/arsis-dev/layon
Known limits
- There is no working code. m
- No user, no interview: the four problems have not been tested with anyone. m
- Its only figures come from Syntype v0.1, corrected the same evening. m
- The field mostly works in R (58 % of ecology studies in 2017), and nothing here is in R. i
Sources and questions
Register · 5 entries
- question
A literature review commissioned from a research model finds the need for missing species traits real but already served by established methods: Layon must first show a measurable gain. i
- milestone
Layon starts: an open ecological data platform. Early research, no usable code yet. m
- correction
Layon’s first public vision note cited figures nobody else could check; an hour later a public benchmark replaced them, and by evening its results were marked provisional. c
- decision
No platform before a confirmed pain: Layon’s first step is to ask ecologists which of four problems is real. m
- decision
Layon is published under Apache-2.0, chosen the day the repository was created. m