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4 Repos

Awesome GitHub RepositoriesStructured Data Parsers

Automated tools for importing various file formats into queryable tables.

Distinguishing note: Focuses on file-to-table conversion rather than general data loading.

Explore 4 awesome GitHub repositories matching data & databases · Structured Data Parsers. Refine with filters or upvote what's useful.

Awesome Structured Data Parsers GitHub Repositories

Finde die besten Repos mit KI.Wir suchen mit KI nach den am besten passenden Repositories.
  • nushell/nushellAvatar von nushell

    nushell/nushell

    39,743Auf GitHub ansehen↗

    Nushell is a cross-platform shell and programming language designed to treat all input and output as structured data rather than raw text streams. By enforcing data types and command signatures, it provides a consistent environment for building robust, pipeline-oriented workflows. The shell allows users to chain commands that pass structured objects between stages, enabling complex data processing and automation tasks that remain predictable across different operating systems. What distinguishes the project is its focus on interactive data exploration and modular extensibility. Users can quer

    Enables importing structured data from various formats by automatically detecting file types.

    Rustnushellrustshell
    Auf GitHub ansehen↗39,743
  • toon-format/toonAvatar von toon-format

    toon-format/toon

    24,642Auf GitHub ansehen↗

    Toon is a data serialization library and toolkit designed to convert complex objects into compact, human-readable formats optimized for large language models. By focusing on token efficiency, the library minimizes the context window footprint of structured data through techniques like key folding and tabular layout optimization. It provides a streaming-capable processor that handles the encoding and decoding of hierarchical data while maintaining structural integrity. The project distinguishes itself through its path-aware transformation pipeline and configurable serialization logic, which al

    Ships a streaming-capable processor that handles encoding and decoding of hierarchical data structures.

    TypeScriptdata-formatllmserialization
    Auf GitHub ansehen↗24,642
  • saulpw/visidataAvatar von saulpw

    saulpw/visidata

    8,834Auf GitHub ansehen↗

    VisiData is a terminal-based interactive data analysis tool and browser designed for exploring, filtering, and sorting large tabular datasets. It functions as a structured data inspector that loads and flattens complex formats like JSON, XML, and PCAP into interactive sheets, as well as a terminal file manager for navigating directories and performing staged filesystem operations. The project distinguishes itself by rendering data visualizations, such as scatter plots and histograms, directly in the terminal using Unicode Braille characters. It provides a Python-based data wrangling environme

    Imports hierarchical data from JSON, XML, and HTML by expanding nested lists into tabular columns.

    Pythonclicsvdatajournalism
    Auf GitHub ansehen↗8,834
  • google/wuffsAvatar von google

    google/wuffs

    4,773Auf GitHub ansehen↗

    Wuffs is a toolset for generating memory-safe, sandboxed parsers and decoders from domain-specific language specifications. It functions as a compiler that transforms these specifications into executable code for C, Go, or Rust, specifically designed to decode untrusted file formats while preventing buffer and integer overflows. The project employs a sandboxed execution model that prohibits system calls and manual memory management to ensure computations are side-effect free. It utilizes a refined type system and compile-time constraint verification to enforce memory safety, alongside saturat

    A capability to process serialized formats like JSON and CBOR to extract organized information from raw byte streams.

    Ccodecmemory-safetyparsing
    Auf GitHub ansehen↗4,773
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