Data Analysis

Forecast future periods from CSV or JSON time-series data and inspect trend, seasonal, and residual decomposition in one report

Data Processing

Detect common log formats, extract core fields, infer field types, and export parsed logs as JSON, CSV, or SQL inserts

Data Processing

Trace JSON field paths, derived dependencies, and transformation history to build a field-level lineage graph

Data Processing

Reverse engineer SVG charts into data points for line, bar, scatter, and pie-style SVG structures

Data Analysis

Upload CSV or JSON time series data, detect anomalies with Z-Score and IQR methods, and return a chart-backed report

Data Processing

Query JSON with JSONPath or JMESPath-style expressions, inspect matched paths, and highlight extracted values in the original document

Data Processing

Iterate over own object properties using lodash _.forOwn

Data Processing

Check if a path exists using lodash _.hasIn

Data Processing

Check if a path exists using lodash _.has

Data Processing

Invert keys grouped by values using lodash _.invertBy

Data Processing

Invert keys and values using lodash _.invert

Data Processing

Apply deep default values using lodash _.defaultsDeep