Turn FEATHER datasets into PARQUET. It is converted in your browser, so the file never leaves your device.
Drop FEATHER files here
or choose from your computer paste with Ctrl V
from Photos or Files
Ready · other file types work too0 bytes uploaded, ever
Drop FEATHER files onto the box above, or click it to choose them. ToAny reads the file's contents to detect the type, so a wrong extension does not matter.
Press Convert. There is nothing else to set. The work happens in this tab.
Save the PARQUET, or download everything as one ZIP if you converted several files.
The FEATHER to PARQUET converter is part of this page and runs inside your browser. Your datasets are never sent to ToAny or to anyone else.
Nothing has to travel to a server and back, so the conversion starts the moment you press Convert, even on a slow connection.
No sign-up, no email address and no watermark. Add several files and download them together as a ZIP.
Feather is binary, and spreadsheet programs cannot open it. Parquet is compact, typed and fast to analyse. FEATHER is at home in quickly saving a data frame between Python and R sessions; PARQUET is the usual choice for large analytical datasets.
Arrow IPC files and Feather version 2 files are read, including LZ4 and Zstandard compressed ones. The older Feather version 1 layout is refused with a message saying so. Each column gets one type chosen from all of its values: a column is numeric only if every non-empty cell is a number, and anything mixed, or a value such as a ZIP code with a leading zero, stays text.
Feather was created to exchange data frames between Python and R quickly. Version 2 is the Apache Arrow file format with a different name, version 1 an earlier, simpler layout. It stores column types exactly and reads much faster than CSV.
Opens in pandas, R and other analytics tools; not Excel
FEATHER converterParquet stores a table column by column, with the type of every column recorded in the file and each column compressed on its own. That makes it small and quick to scan for analysis, which is why data lakes and warehouses use it. It cannot be read in a text editor or a spreadsheet.
Opens in pandas, Spark, DuckDB, BigQuery, Snowflake and other analytics tools; not Excel
PARQUET converter| FEATHERFeather table | PARQUETApache Parquet table | |
|---|---|---|
| Stands for | Feather | Apache Parquet |
| Type | Columnar data file | Columnar data file |
| Compression | None by default (LZ4 or Zstandard in version 2) | Lossless (per column: Snappy, Zstandard, gzip and others) |
| Introduced | 2016, by Wes McKinney and Hadley Wickham | 2013, by Twitter and Cloudera, now the Apache Software Foundation |
| Opens in | pandas, R and other analytics tools; not Excel | pandas, Spark, DuckDB, BigQuery, Snowflake and other analytics tools; not Excel |
| Best for | Quickly saving a data frame between Python and R sessions | Large analytical datasets |
| File extension | .feather | .parquet |
No. The FEATHER to PARQUET conversion runs inside your browser, on your own phone or computer. The file is not sent to ToAny or to anyone else.
The values are kept. Anything PARQUET has no way to express, such as formatting, formulas or nesting, is simplified or left out.
Yes. Add as many as you like, convert them together and download each result or all of them as one ZIP.
The steps are the same everywhere because ToAny runs in the web browser: open this page in a current version of Chrome, Edge, Safari or Firefox, add the FEATHER file, press Convert and save the PARQUET. There is nothing to install.
Yes. Binary data files up to 150 MB are accepted; a larger file is refused with a message. Beyond that the limit is your device's memory, since nothing is uploaded; a computer copes with large files better than a phone.