Bringing Open Data to the Apparel Industry
By Deb Boyer on August 31st, 2020
We chatted with the Open Apparel Registry team about how open data and open source are becoming a larger part of the apparel industry.
Using the Dedupe Machine Learning Library for Cleaning and Matching Data
By Justin Walgran on August 30th, 2019
To deal with issues of apparel facility list data quality and scale quickly and efficiently we need a machine learning tool that can capture the knowledge of domain experts, find commonalities in jumbled text, and confidently compare large lists without the need to compare each individual entry.
Connecting Data and People with the Open Apparel Registry
By Deb Boyer on August 7th, 2019
Since its launch on March 28, the Open Apparel Registry (OAR) has grown to include over 18,300 facilities in 92 countries. We’ve already heard of a few fascinating use cases where data from the OAR contributed to decision making by brands and facilities.
Using Cloud-Optimized GeoTIFFs (COGs) for More Efficient Web App Architecture
By Jenny Fung on April 23rd, 2019
Cloud-Optimized GeoTIFFs (COGs) are geoTIFFs hosted on a cloud or file server, and are optimized for remote reads. They proved useful in a recent project.
Introducing the Open Apparel Registry
By Deb Boyer on March 28th, 2019
We are excited to announce the launch of the Open Apparel Registry, an open source global map of garment producing facilities.
Lessons on tree-shaking Lodash with Webpack and Babel
By Casey Cesari on March 7th, 2019
Tree-shaking lodash can reduce the size of your JavaScript bundle, but it requires that a few conditions are met along the way to implementing it.