2 रिपॉजिटरी
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.
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.
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.