- Pandolfi, Ronald J;
- Allan, Daniel B;
- Arenholz, Elke;
- Barroso-Luque, Luis;
- Campbell, Stuart I;
- Caswell, Thomas A;
- Blair, Austin;
- De Carlo, Francesco;
- Fackler, Sean;
- Fournier, Amanda P;
- Freychet, Guillaume;
- Fukuto, Masafumi;
- Gürsoy, Dogˇa;
- Jiang, Zhang;
- Krishnan, Harinarayan;
- Kumar, Dinesh;
- Kline, R Joseph;
- Li, Ruipeng;
- Liman, Christopher;
- Marchesini, Stefano;
- Mehta, Apurva;
- N'Diaye, Alpha T;
- Parkinson, Dilworth Y;
- Parks, Holden;
- Pellouchoud, Lenson A;
- Perciano, Talita;
- Ren, Fang;
- Sahoo, Shreya;
- Strzalka, Joseph;
- Sunday, Daniel;
- Tassone, Christopher J;
- Ushizima, Daniela;
- Venkatakrishnan, Singanallur;
- Yager, Kevin G;
- Zwart, Peter;
- Sethian, James A;
- Hexemer, Alexander
Xi-cam is an extensible platform for data management, analysis and visualization. Xi-cam aims to provide a flexible and extensible approach to synchrotron data treatment as a solution to rising demands for high-volume/high-throughput processing pipelines. The core of Xi-cam is an extensible plugin-based graphical user interface platform which provides users with an interactive interface to processing algorithms. Plugins are available for SAXS/WAXS/GISAXS/GIWAXS, tomography and NEXAFS data. With Xi-cam's `advanced' mode, data processing steps are designed as a graph-based workflow, which can be executed live, locally or remotely. Remote execution utilizes high-performance computing or de-localized resources, allowing for the effective reduction of high-throughput data. Xi-cam's plugin-based architecture targets cross-facility and cross-technique collaborative development, in support of multi-modal analysis. Xi-cam is open-source and cross-platform, and available for download on GitHub.