Data Processing

Batch rename JSON object keys with support for patterns, rules, and transformations. Perfect for API response formatting and data normalization.

Data Processing

Convert flattened key-value pairs back to nested JSON objects with support for different key formats and data type inference

Data Processing

Merge multiple JSON files with various merging strategies (deep merge, overwrite, combine arrays, etc.)

Data Processing

Merge multiple YAML files with various strategies (deep merge, overwrite, combine arrays, etc.)

Data Processing

Add headers to CSV data that lacks column names. Perfect for data import from databases, API responses, or numeric datasets that need proper column identification. Features: - Add custom headers to header-less data - Auto-generate intelligent headers - Support for various header naming conventions - Preview headers before applying - Multiple header format options - Support for existing data detection - Batch processing capabilities Common Use Cases: - Fix database exports without headers - Process API response data - Prepare numeric datasets for analysis - Standardize data column naming - Create proper CSV structures - Data format normalization

Data Processing

Remove headers from CSV data to create clean header-less files. Perfect for database imports, data processing pipelines, API integrations, and systems that require header-less CSV format. Features: - Remove first row (header) from CSV data - Remove multiple header rows - Skip empty lines before removing headers - Preserve data integrity - Support various CSV separators - Preview before removal - Data validation options - Batch processing capabilities Common Use Cases: - Prepare data for database imports - Clean up API response data - Remove metadata from exported files - Create header-less data for machine learning - Prepare data for systems that don't use headers - Extract pure data values from structured files

Data Processing

Scale and normalize features using various methods for machine learning preprocessing and data standardization

Data Processing

Look up ISO country codes, ccTLD, calling, IOC, M49, FIPS and ISO 3166-2 subdivision data

Data Processing

Invert keys grouped by values using lodash _.invertBy

Data Processing

Invert keys and values using lodash _.invert

Data Processing

Find common values across multiple arrays using lodash _.intersection

Data Processing

Find the index of a value in array using lodash _.indexOf