Data Processing

Paste one or two columns of numbers and get the complete descriptive suite — mean/median/mode, sample and population variance, type-7 quartiles and percentiles, MAD, adjusted skewness and kurtosis, Tukey outliers — plus covariance, Pearson r, tie-corrected Spearman rho and least-squares regression for two columns.

Data Processing

Paste a JSON payload from any sports API (ESPN, TheSportsDB, balldontlie, football-data.org, api-sports.io) and get it rendered as a clean scoreboard with winners highlighted and game statuses.

Data Processing

Upload a CSV file or paste CSV text, remove duplicate rows using exact or fuzzy matching, and download a cleaned CSV.

Data Processing

Compare two CSV or XLSX datasets and export a PDF report with row, column, and cell-level differences

Data Processing

Preview JSONata-style queries and transformations, compare results across sample payloads, and export the transformed output as JSON, CSV, YAML, or Markdown

Data Processing

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

Data Processing

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

Data Processing

Get a value at a path using lodash _.get

Data Processing

Check if a path exists using lodash _.hasIn

Data Processing

Check if a path exists using lodash _.has

Data Processing

Assign own and inherited properties using lodash _.assignIn

Data Processing

Assign source properties to a target object using lodash _.assign