● Covered by 1 source · 1 reportMedium impact
Jane Street Releases Incremental Library for Efficient Computations
Jane Street has released Incremental, a library for efficient updates to complex computations based on input changes. This tool can assist in applications like data-driven calculations and maintaining synchronization between source and derived data.
Key points
- Incremental library allows efficient updates to complex calculations.
- Useful for spreadsheet-like applications and GUI data views.
- Keeps derived data synchronized with source data.
Overview of Incremental Library
Incremental is a new library developed by Jane Street, inspired by research on self-adjusting computations. It allows developers to create complex computations that can efficiently update when their inputs change. This could enhance how applications manage data updates.
Use Cases of the Library
The library is useful in several scenarios: building large-scale computations similar to those found in spreadsheets, constructing dynamic views in GUI applications, and computing derived data while ensuring synchronization with the source data. These capabilities can significantly improve performance in data-driven applications.
Documentation and Resources
Comprehensive documentation for the Incremental library is available at incremental/src/incremental_intf.ml. Additionally, users can access an informal introduction via a blog post and a video, which may aid in understanding how to implement this library effectively.
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Primary sources
GitHub cmc_internal/api GitHub github/collect GitHub janestreet/incremental GitHub _private/browser GitHub get-started/accessibility GitHub open-source/sponsorsReporting from
Jane Street has released Incremental, a library for efficient updates to complex computations based on input changes. This tool can assist in applications like data-driven calculations and maintaining synchronization between source and derived data.