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4 个仓库

Awesome GitHub RepositoriesRow-wise Transformations

Application of custom logic to individual elements within a data series.

Distinguishing note: Focuses on element-wise iteration rather than vectorized batch operations.

Explore 4 awesome GitHub repositories matching data & databases · Row-wise Transformations. Refine with filters or upvote what's useful.

Awesome Row-wise Transformations GitHub Repositories

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  • pola-rs/polarspola-rs 的头像

    pola-rs/polars

    38,855在 GitHub 上查看↗

    Polars is a high-performance columnar data processing library designed for efficient analytical workflows. It functions as a structured data library that organizes information into typed columns, utilizing the Apache Arrow memory format to enable zero-copy data sharing and cache-friendly, vectorized operations. The engine is built to handle large-scale tabular datasets, providing both local and distributed analytical runtimes that scale from single-machine environments to multi-node clusters. The project distinguishes itself through a sophisticated lazy query engine that constructs abstract e

    Applies custom functions to each element within a series for row-wise transformations.

    Rustarrowdataframedataframe-library
    在 GitHub 上查看↗38,855
  • prql/prqlPRQL 的头像

    PRQL/prql

    10,703在 GitHub 上查看↗

    PRQL is a functional, modular data transformation language that serves as a compiler for relational data pipelines. It allows developers to write expressive, pipelined queries that are translated into standard SQL dialects. By abstracting complex data manipulation into a readable, sequential syntax, the project enables the construction of maintainable workflows that remain independent of specific database engines. The language distinguishes itself through a robust compilation infrastructure that performs type validation and relational algebra analysis before generating target-specific code. I

    Applies pipelines to segments of rows defined by relative positions or value ranges.

    Rustdatapipelinesql
    在 GitHub 上查看↗10,703
  • madler/zlibmadler 的头像

    madler/zlib

    6,687在 GitHub 上查看↗

    zlib is a lossless data compression library that implements the deflate compression algorithm, combining LZ77 sliding window and Huffman coding. It provides the core compression and decompression engines, along with support for gzip, zlib, and raw deflate stream formats, enabling data to be compressed and restored without any loss of information. The library offers a range of capabilities for handling compressed data, including single-call memory and file operations, as well as incremental stream-based processing for working with data larger than available memory. It includes mechanisms for a

    Calculates CRC values using bit-wise, byte-wise, or word-wise table-driven algorithms.

    C
    在 GitHub 上查看↗6,687
  • jsoma/tabletopjsoma 的头像

    jsoma/tabletop

    3,771在 GitHub 上查看↗

    Tabletop is a JavaScript library and data parser designed to retrieve data from public Google Sheets and convert it into structured JSON objects. It functions as a client-side tool for fetching remote spreadsheet data and transforming rows into lists of objects or arrays for use in web applications. The library enables the use of Google Sheets as a lightweight database, allowing for dynamic content management where application data can be updated by editing a spreadsheet. It supports selective worksheet retrieval to limit the amount of transferred data and provides programmatic interfaces for

    Executes custom logic on individual rows to rename columns, calculate attributes, or convert data types.

    JavaScript
    在 GitHub 上查看↗3,771
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  3. Row-wise Transformations

探索子标签

  • Table-Driven CRC AlgorithmsCalculates a CRC value over a block of data to detect accidental changes, using bit-wise, byte-wise, or word-wise table-driven algorithms. **Distinct from Row-wise Transformations:** Distinct from Row-wise Transformations: focuses on CRC computation with table-driven algorithms, not general row transformations.
  • Table-Driven CRC ComputationCalculates a CRC value for a block of data using bit-wise, byte-wise, or word-wise table-driven algorithms. **Distinct from Row-wise Transformations:** Distinct from Row-wise Transformations: focuses on CRC computation with table-driven algorithms, not general row transformations.