Data Processing
Extract and validate .env style KEY=VALUE configurations with detection of duplicate keys and suspicious spaces/quotes
env-parserData Analysis
Analyze and count numbers within specified ranges or intervals
number-range-statisticsData Processing
Perform calculations on each row and add new columns
row-calculatorData Analysis
Calculate seasonal indices for time series data to identify seasonal patterns
seasonal-index-calculatorData Processing
Merge and join multiple tables with various join types (inner, left, right, full)
multi-table-joinerData Analysis
Detect outliers in numerical data using various statistical methods including IQR, Z-score, and modified Z-score
outlier-detectorData Analysis
Advanced regression analysis tool for performing linear regression analysis, calculating regression statistics, and making predictions. Perfect for statistical modeling, trend analysis, forecasting, and understanding relationships between variables. Features: - Simple linear regression (y = mx + b) - Multiple linear regression support - Regression coefficients calculation - Statistical significance testing - R-squared and adjusted R-squared - Residual analysis and diagnostics - Prediction intervals and confidence intervals - Outlier detection in regression - Model validation metrics - Visual regression diagnostics - Data transformation support Common Use Cases: - Sales forecasting and trend analysis - Financial modeling and risk assessment - Scientific research and hypothesis testing - Quality control and process optimization - Marketing analytics and ROI analysis - Medical and biological research
regression-analyzerData Processing
Extract all keys from JSON objects with multiple output formats. Perfect for analyzing JSON structure, documentation generation, and understanding complex nested objects.
json-key-extractorData Processing
Extract values from XML documents using XPath expressions. Perfect for extracting specific data from complex nested XML structures, API responses, RSS feeds, and configuration files.
xml-path-extractorData Processing
Flatten nested JSON objects into key-value pairs with customizable delimiters and flattening strategies
json-flattenerData Processing
Batch rename JSON object keys with support for patterns, rules, and transformations. Perfect for API response formatting and data normalization.
json-key-renamerData Processing
Convert between different object key-value formats and manipulate object structures
object-key-value-converter