Crossfilter is a JavaScript library for fast n-dimensional filtering and grouping of records in the browser.
The library solves the problem of interacting fluidly with large multivariate datasets by using sorted indexes and bit-level optimizations to enable incremental filtering. Rather than recomputing results from scratch on each interaction, it updates only the affected dimensions, making operations like histogram updates and top-K list generation extremely fast even with millions of records. This approach keeps interaction latency below 30 milliseconds, enabling real-time exploration of complex datasets through coordinated views.
Crossfilter suits projects that need to build interactive analytics dashboards in the browser where users filter and explore data across multiple dimensions simultaneously. It works well when datasets are large enough that naive filtering would cause noticeable lag, and when the interaction pattern involves frequent small adjustments to filter values rather than wholesale data reloads. The tool is particularly valuable for payment analytics, sales dashboards, and similar applications where merchants or analysts need to slice data by multiple attributes without waiting for results.
The project is not under active development or maintenance by Square or its original creators. The current API and feature set are considered essentially complete, and while genuine bug fixes and pull requests are still welcomed, no new versions are planned for the original repository. An actively maintained fork exists under a separate Crossfilter Organization that is pursuing improved APIs and performance enhancements for modern JavaScript virtual machines.
