Every format, opened as a table.
43 kinds of data in, 38 formats out. Files are recognised by their bytes, not their names, and saving writes the same format back — over the file where the table is all it holds, to a copy where it is not.
kinds of data it opens
Delimited text
Spreadsheets & documents
Structured data
Data engineering
Statistics & science
Mainframe, banking & contacts
formats it writes
Delimited text
Spreadsheets
Structured data
Databases
Data engineering
Statistics
Mainframe
Documents
Each family of file.
CSV and delimited text
Every separator, quoting style, line ending and 133 character sets, saved back byte for byte.
Details →FormatExcel and OpenDocument
Every sheet as a table, .xls and .xlsb too, and a workbook saved back as itself.
Details →FormatJSON, XML, YAML and TOML
Nested objects as dotted columns, GeoJSON with its places, JSON inside cells as a tree.
Details →FormatParquet, Delta Lake, Avro, ORC, Arrow
The data world's formats and pandas' pickles, without Python or Spark.
Details →FormatSPSS, Stata, SAS, R, NetCDF
Datasets and measurements opened without the package that made them, labels kept.
Details →FormatEBCDIC, copybooks, fixed width
52 code pages, COMP-3 and zoned decimals, a copybook written for a file that came without one.
Details →FormatSQLite and SQL
Databases as tables; SQL across every open file.
Details →FormatvCard and Mac Contacts
One value per cell, ready for a mail merge.
Details →FormatLog files
A regular expression per line, a column per group.
Details →FormatPDF, Word and HTML
Tables people can read — PDF/A, Word, rich text, self-sorting HTML.
Details →Open your most difficult file.
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