For AI agents: the complete documentation index is available at https://open-spaced-repetition.github.io/ts-fsrs/zh-CN/llms.txt, the full documentation bundle is available at https://open-spaced-repetition.github.io/ts-fsrs/zh-CN/llms-full.txt, and this page is available as Markdown at https://open-spaced-repetition.github.io/ts-fsrs/zh-CN/updates/binding/0.1.0.md.
ts-fsrs
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      • @open-spaced-repetition/binding 0.1.0

      Published: 2025-11-03 11:08:02 UTC

      npmx · GitHub Release

      All updates

      Minor Changes

      • #237 c1d61fe Thanks @ishiko732! - # @open-spaced-repetition/binding v0.1.0

        🎉 Release the first version of the high-performance FSRS optimizer based on fsrs-rs and napi-rs.

        Features

        • High-Performance Parameter Optimization: Native Rust implementation for computationally intensive FSRS parameter optimization
        • Multi-Platform Support: Pre-built binaries for 11 platforms:
          • Windows: x64, ia32, arm64 (MSVC)
          • macOS: x64, arm64 (Darwin)
          • Linux: x64/arm64 (GNU/MUSL)
          • Android: arm64
          • WebAssembly: wasm32-wasip1-threads
        • Core APIs:
          • computeParameters(): Optimize FSRS parameters from review history
          • convertCsvToFsrsItems(): Convert CSV review logs to FSRS data format
          • FSRSBinding: FSRS scheduler instance for memory state calculations

        Requirements

        • Node.js >= 20.0.0
        • For WebAssembly: Additional package manager configuration required

        Limitations

        • ⚠️ Beta Notice: API may change in future releases
        • Cannot run in edge-runtime environments (edge-runtime does not support WASI)

        Documentation

        See README.md for installation instructions and usage examples.