awesome-repositories.com
ब्लॉग
MCP
awesome-repositories.com

AI-संचालित खोज के साथ बेहतरीन ओपन-सोर्स रिपॉजिटरी खोजें।

एक्सप्लोर करेंक्यूरेटेड खोजेंओपन-सोर्स विकल्पसेल्फ-होस्टेड सॉफ्टवेयरब्लॉगसाइटमैप
प्रोजेक्टMCP सर्वरहमारे बारे मेंहम रैंकिंग कैसे करते हैंप्रेस
कानूनीगोपनीयताशर्तें
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·

2 रिपॉजिटरी

Awesome GitHub RepositoriesNormalization Engines

Tools that normalize diverse input formats into a unified internal structure for consistent querying and conversion.

Distinct from Data Formats: Distinct from Data Formats: focuses on the normalization engine that abstracts multiple formats, rather than the format specifications themselves.

Explore 2 awesome GitHub repositories matching software engineering & architecture · Normalization Engines. Refine with filters or upvote what's useful.

Awesome Normalization Engines GitHub Repositories

AI के साथ बेहतरीन रिपॉजिटरी खोजें।हम AI का उपयोग करके सबसे सटीक रिपॉजिटरी खोजेंगे।
  • mikefarah/yqmikefarah का अवतार

    mikefarah/yq

    14,913GitHub पर देखें↗

    This tool is a command-line processor designed for querying, updating, and transforming structured data files. It functions as a versatile engine for manipulating YAML, JSON, TOML, and XML documents, allowing users to perform complex operations directly from the terminal. By utilizing a path-based expression language, it enables precise navigation and modification of data structures within configuration files and infrastructure-as-code workflows. What distinguishes this tool is its ability to perform in-place document mutations while preserving original formatting, comments, and metadata. It

    Normalizes diverse input formats into a unified internal structure to enable consistent querying and cross-format conversion.

    Gobashclicsv
    GitHub पर देखें↗14,913
  • apache/incubator-devlakeapache का अवतार

    apache/incubator-devlake

    2,940GitHub पर देखें↗

    DevLake is a DevOps data platform and analytics tool designed to orchestrate data pipelines that ingest, transform, and sync metadata from external development tools into a unified database. It functions as a system for collecting and normalizing data from source control, CI/CD pipelines, and issue trackers into a standardized schema to enable consistent software delivery analytics. The platform distinguishes itself by transforming tool-specific data into a common domain model, allowing for the calculation of engineering metrics via SQL. It provides specialized frameworks for measuring DORA m

    Normalizes diverse input formats from multiple software development tools into a unified structure for querying.

    Godashboard-friendlydatadata-analysis
    GitHub पर देखें↗2,940
  1. Home
  2. Software Engineering & Architecture
  3. Data Formats
  4. Normalization Engines