We publish climbing content ("data") in two forms, human-readable and machine-readable. Having two representations of the same data enables us to address multiple community needs.
Benefits of a climbing route wiki:
We're hoping by creating a useful and easy-to-use wiki with a powerful "search engine" that provides value to our users, we can build a community of editors that will help us identify inaccuracies and improve the underlying data.
Benefits of open access to machine-readable climbing data:
- Enable independent developers to build on and enrich the existing ecosystem.
- Provide data science students with much needed datasets.
- Increase the efficiency of public research related to climbing.
Climbing route wiki
Inspired by Wikipedia and OpenStreetMap, the web application (code name OpenTacos) provides the climbing community with a searchable catalog of climbing routes.
- Climb Search API
- Photo sharing and climb tagging
- Work-in-progress: Collaborative editing.
Live site: https://tacos.openbeta.io
Source code: https://github.com/openbeta/open-tacos
Climbing datasets in CSV, jsonlines, and Python pickle format.
Source code: https://github.com/openbeta/climbing-data
A GraphQL-based API that provides data for OpenTacos. We plan to open the API to public at some point in 2022. Be sure to subscribe to the newsletter.
Source code: https://github.com/openbeta/openbeta-graphql
Climbing grade library (aka "SandBag")
Source code: https://github.com/OpenBeta/sandbag