Analyze structure and extract data from YAML configurations
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Professional-grade YAML analysis tools for complex configuration inspection
Navigate complex YAML structures with collapsible tree visualization and hierarchical data exploration
Extract specific values using dot notation paths and advanced query syntax for precise data access
Automatically detect data types and filter values by string, number, boolean, array, or object types
Comprehensive statistics including object counts, nesting depth, type distribution, and data patterns
Extract and export specific values, configuration sections, or filtered data subsets for analysis
Switch between tree view, JSON output, and raw YAML for different analysis perspectives and workflows
Everything you need to know about YAML parsing, data extraction, and structure analysis
Our YAML parser provides deep structure analysis including interactive tree visualization with collapsible nodes, automatic data type detection (string, number, boolean, array, object, null, datetime), path-based queries using dot notation (e.g., config.database.host, services.web.environment), comprehensive statistics (total keys/values, maximum nesting depth, object/array counts, type distribution), advanced value extraction with filtering capabilities, and multi-format output options (tree view, JSON conversion, raw YAML display). Perfect for analyzing Kubernetes manifests, Docker Compose files, CI/CD pipelines, and enterprise infrastructure configurations.
Path queries use dot notation to navigate YAML structures with support for nested objects (user.profile.name), array indexing (containers[0].image), and complex path expressions (jobs.test.steps[2].run). The parser provides an interactive tree view with expandable/collapsible nodes, click-to-navigate functionality, real-time path display for any selected value, search functionality across all keys and values, and type-based filtering to focus on specific data types. This makes it easy to explore and extract data from complex configurations like Kubernetes deployments, multi-service Docker Compose files, or extensive CI/CD pipeline definitions.
Essential for DevOps and Configuration Management: Kubernetes Config Analysis (parse deployment manifests, extract resource configurations, identify deployment patterns, troubleshoot cluster setups), CI/CD Pipeline Inspection (analyze GitHub Actions, GitLab CI, Jenkins configurations, extract job definitions, environment variables, workflow dependencies), Docker Compose Debugging (parse multi-container applications, examine service dependencies, extract port configurations, analyze volume mappings), Configuration Migration (extract specific values for migration projects, analyze patterns across environments, validate settings), Infrastructure Auditing (audit Ansible playbooks, Terraform configurations, Helm charts, extract security settings, compliance data), and Application Config Analysis (parse configuration files, extract environment-specific settings, analyze feature flags, troubleshoot issues).
The parser follows a comprehensive 4-phase workflow: (1) Parse & Validate - parse YAML syntax, validate structure, detect formatting errors, (2) Analyze Structure - build interactive tree representation, detect data types, calculate nesting depth, generate statistics, (3) Query & Filter - apply path-based queries, filter by data types, search for specific values, navigate complex hierarchies, (4) Extract & Export - extract specific values, export filtered data, convert formats, generate analysis reports. Advanced analytics include complexity metrics, type distribution analysis, depth analysis, and pattern recognition for different configuration types.
The parser provides intelligent type detection that automatically identifies strings (including special formats like dates, URLs, emails), numbers (integers and floats), booleans (true/false), arrays (lists of items), objects (nested structures), null values, and datetime formats (ISO 8601, timestamps). Advanced filtering allows you to view only specific types, search within type categories, extract values by type, and analyze type distribution across the configuration. This is particularly useful for security analysis (finding sensitive strings), configuration validation (checking numeric limits), and data structure understanding (identifying complex nested objects).
Comprehensive extraction features include: Selective Data Export (extract specific values, configuration sections, filtered data subsets), Value Transformation (convert between formats, normalize data structures), Batch Extraction (extract multiple values using path patterns, bulk operations), JSON Conversion (export parsed data as JSON, maintain structure integrity), Path-based Access (direct value retrieval using dot notation, programmatic access patterns), Search and Filter (find values by content, type, or path patterns), and Report Generation (detailed analysis reports, statistics summaries, configuration documentation). Perfect for migration projects, security audits, configuration validation, and data analysis workflows.
The parser supports large YAML files up to 100MB with efficient parsing algorithms optimized for complex, deeply nested configurations. Performance features include memory-efficient tree building, responsive UI even with extensive data structures, real-time parsing feedback, smooth navigation of large object hierarchies, and scalable analysis suitable for enterprise-scale infrastructure files, multi-document YAML configurations, extensive CI/CD pipelines, and large Kubernetes manifests. Processing includes optimized memory usage, progressive rendering for large trees, and efficient search algorithms.
All YAML parsing, analysis, and data extraction occurs locally in your browser with zero data transmission to external servers, ensuring complete privacy for sensitive configuration files, API keys, database credentials, infrastructure details, and proprietary deployment specifications. The parser never stores, logs, or transmits your YAML content, making it safe for production configurations, security-sensitive files, enterprise infrastructure code, Kubernetes secrets, environment variables, and confidential deployment configurations. Perfect for analyzing sensitive DevOps configurations, production settings, and enterprise infrastructure without security concerns.
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