Pretty-print tabular data in Python, a library and a command-line utility.
The main use cases of the library are:
To install the Python library and the command line utility, run:
pip install tabulate
The command line utility will be installed as tabulate to bin on
Linux (e.g. /usr/bin); or as tabulate.exe to Scripts in your
Python installation on Windows (e.g. C:\Python39\Scripts\tabulate.exe).
You may consider installing the library only for the current user:
pip install tabulate --user
In this case the command line utility will be installed to
~/.local/bin/tabulate on Linux and to
%APPDATA%\Python\Scripts\tabulate.exe on Windows.
To install just the library on Unix-like operating systems:
TABULATE_INSTALL=lib-only pip install tabulate
On Windows:
set TABULATE_INSTALL=lib-only
pip install tabulate
The module provides just one function, tabulate, which takes a list of
lists or another tabular data type as the first argument, and outputs a
nicely formatted plain-text table:
>>> from tabulate import tabulate
>>> table = [["Sun",696000,1989100000],["Earth",6371,5973.6],
... ["Moon",1737,73.5],["Mars",3390,641.85]]
>>> print(tabulate(table))
----- ------ -------------
Sun 696000 1.9891e+09
Earth 6371 5973.6
Moon 1737 73.5
Mars 3390 641.85
----- ------ -------------
The following tabular data types are supported:
Tabulate is a Python3 library.
The second optional argument named headers defines a list of column
headers to be used:
>>> print(tabulate(table, headers=["Planet","R (km)", "mass (x 10^29 kg)"]))
Planet R (km) mass (x 10^29 kg)
-------- -------- -------------------
Sun 696000 1.9891e+09
Earth 6371 5973.6
Moon 1737 73.5
Mars 3390 641.85
If headers="firstrow", then the first row of data is used:
>>> print(tabulate([["Name","Age"],["Alice",24],["Bob",19]],
... headers="firstrow"))
Name Age
------ -----
Alice 24
Bob 19
If headers="keys", then the keys of a dictionary/dataframe, or column
indices are used. It also works for NumPy record arrays and lists of
dictionaries or named tuples:
>>> print(tabulate({"Name": ["Alice", "Bob"],
... "Age": [24, 19]}, headers="keys"))
Age Name
----- ------
24 Alice
19 Bob
By default, only pandas.DataFrame tables have an additional column
called row index. To add a similar column to any other type of table,
pass showindex="always" or showindex=True argument to tabulate().
To suppress row indices for all types of data, pass showindex="never"
or showindex=False. To add a custom row index column, pass
showindex=rowIDs, where rowIDs is some iterable:
>>> print(tabulate([["F",24],["M",19]], showindex="always"))
- - --
0 F 24
1 M 19
- - --
There is more than one way to format a table in plain text. The third
optional argument named tablefmt defines how the table is formatted.
Supported table formats are:
plain tables do not use any pseudo-graphics to draw lines:
>>> table = [["spam",42],["eggs",451],["bacon",0]]
>>> headers = ["item", "qty"]
>>> print(tabulate(table, headers, tablefmt="plain"))
item qty
spam 42
eggs 451
bacon 0
simple is the default format (the default may change in future
versions). It corresponds to simple_tables in Pandoc Markdown
extensions:
>>> print(tabulate(table, headers, tablefmt="simple"))
item qty
------ -----
spam 42
eggs 451
bacon 0
github follows the conventions of GitHub flavored Markdown. It
corresponds to the pipe format without alignment colons:
>>> print(tabulate(table, headers, tablefmt="github"))
| item | qty |
|--------|-------|
| spam | 42 |
| eggs | 451 |
| bacon | 0 |
grid is like tables formatted by Emacs'
table.el package. It corresponds to
grid_tables in Pandoc Markdown extensions:
>>> print(tabulate(table, headers, tablefmt="grid"))
+--------+-------+
| item | qty |
+========+=======+
| spam | 42 |
+--------+-------+
| eggs | 451 |
+--------+-------+
| bacon | 0 |
+--------+-------+
simple_grid draws a grid using single-line box-drawing characters:
>>> print(tabulate(table, headers, tablefmt="simple_grid"))
┌────────┬───────┐
│ item │ qty │
├────────┼───────┤
│ spam │ 42 │
├────────┼───────┤
│ eggs │ 451 │
├────────┼───────┤
│ bacon │ 0 │
└────────┴───────┘
rounded_grid draws a grid using single-line box-drawing characters with rounded corners:
>>> print(tabulate(table, headers, tablefmt="rounded_grid"))
╭────────┬───────╮
│ item │ qty │
├────────┼───────┤
│ spam │ 42 │
├────────┼───────┤
│ eggs │ 451 │
├────────┼───────┤
│ bacon │ 0 │
╰────────┴───────╯
heavy_grid draws a grid using bold (thick) single-line box-drawing characters:
>>> print(tabulate(table, headers, tablefmt="heavy_grid"))
┏━━━━━━━━┳━━━━━━━┓
┃ item ┃ qty ┃
┣━━━━━━━━╋━━━━━━━┫
┃ spam ┃ 42 ┃
┣━━━━━━━━╋━━━━━━━┫
┃ eggs ┃ 451 ┃
┣━━━━━━━━╋━━━━━━━┫
┃ bacon ┃ 0 ┃
┗━━━━━━━━┻━━━━━━━┛
mixed_grid draws a grid using a mix of light (thin) and heavy (thick) lines box-drawing characters:
>>> print(tabulate(table, headers, tablefmt="mixed_grid"))
┍━━━━━━━━┯━━━━━━━┑
│ item │ qty │
┝━━━━━━━━┿━━━━━━━┥
│ spam │ 42 │
├────────┼───────┤
│ eggs │ 451 │
├────────┼───────┤
│ bacon │ 0 │
┕━━━━━━━━┷━━━━━━━┙
double_grid draws a grid using double-line box-drawing characters:
>>> print(tabulate(table, headers, tablefmt="double_grid"))
╔════════╦═══════╗
║ item ║ qty ║
╠════════╬═══════╣
║ spam ║ 42 ║
╠════════╬═══════╣
║ eggs ║ 451 ║
╠════════╬═══════╣
║ bacon ║ 0 ║
╚════════╩═══════╝
fancy_grid draws a grid using a mix of single and
double-line box-drawing characters:
>>> print(tabulate(table, headers, tablefmt="fancy_grid"))
╒════════╤═══════╕
│ item │ qty │
╞════════╪═══════╡
│ spam │ 42 │
├────────┼───────┤
│ eggs │ 451 │
├────────┼───────┤
│ bacon │ 0 │
╘════════╧═══════╛
outline is the same as the grid format but doesn't draw lines between rows:
>>> print(tabulate(table, headers, tablefmt="outline"))
+--------+-------+
| item | qty |
+========+=======+
| spam | 42 |
| eggs | 451 |
| bacon | 0 |
+--------+-------+
simple_outline is the same as the simple_grid format but doesn't draw lines between rows:
>>> print(tabulate(table, headers, tablefmt="simple_outline"))
┌────────┬───────┐
│ item │ qty │
├────────┼───────┤
│ spam │ 42 │
│ eggs │ 451 │
│ bacon │ 0 │
└────────┴───────┘
rounded_outline is the same as the rounded_grid format but doesn't draw lines between rows:
>>> print(tabulate(table, headers, tablefmt="rounded_outline"))
╭────────┬───────╮
│ item │ qty │
├────────┼───────┤
│ spam │ 42 │
│ eggs │ 451 │
│ bacon │ 0 │
╰────────┴───────╯
heavy_outline is the same as the heavy_grid format but doesn't draw lines between rows:
>>> print(tabulate(table, headers, tablefmt="heavy_outline"))
┏━━━━━━━━┳━━━━━━━┓
┃ item ┃ qty ┃
┣━━━━━━━━╋━━━━━━━┫
┃ spam ┃ 42 ┃
┃ eggs ┃ 451 ┃
┃ bacon ┃ 0 ┃
┗━━━━━━━━┻━━━━━━━┛
mixed_outline is the same as the mixed_grid format but doesn't draw lines between rows:
>>> print(tabulate(table, headers, tablefmt="mixed_outline"))
┍━━━━━━━━┯━━━━━━━┑
│ item │ qty │
┝━━━━━━━━┿━━━━━━━┥
│ spam │ 42 │
│ eggs │ 451 │
│ bacon │ 0 │
┕━━━━━━━━┷━━━━━━━┙
double_outline is the same as the double_grid format but doesn't draw lines between rows:
>>> print(tabulate(table, headers, tablefmt="double_outline"))
╔════════╦═══════╗
║ item ║ qty ║
╠════════╬═══════╣
║ spam ║ 42 ║
║ eggs ║ 451 ║
║ bacon ║ 0 ║
╚════════╩═══════╝
fancy_outline is the same as the fancy_grid format but doesn't draw lines between rows:
>>> print(tabulate(table, headers, tablefmt="fancy_outline"))
╒════════╤═══════╕
│ item │ qty │
╞════════╪═══════╡
│ spam │ 42 │
│ eggs │ 451 │
│ bacon │ 0 │
╘════════╧═══════╛
presto is like tables formatted by Presto cli:
>>> print(tabulate(table, headers, tablefmt="presto"))
item | qty
--------+-------
spam | 42
eggs | 451
bacon | 0
pretty attempts to be close to the format emitted by the PrettyTables
library:
>>> print(tabulate(table, headers, tablefmt="pretty"))
+-------+-----+
| item | qty |
+-------+-----+
| spam | 42 |
| eggs | 451 |
| bacon | 0 |
+-------+-----+
psql is like tables formatted by Postgres' psql cli:
>>> print(tabulate(table, headers, tablefmt="psql"))
+--------+-------+
| item | qty |
|--------+-------|
| spam | 42 |
| eggs | 451 |
| bacon | 0 |
+--------+-------+
pipe follows the conventions of PHP Markdown
Extra extension.
It corresponds to pipe_tables in Pandoc. This format uses colons to
indicate column alignment:
>>> print(tabulate(table, headers, tablefmt="pipe"))
| item | qty |
|:-------|------:|
| spam | 42 |
| eggs | 451 |
| bacon | 0 |
asciidoc formats data like a simple table of the
AsciiDoctor
format:
>>> print(tabulate(table, headers, tablefmt="asciidoc"))
[cols="8<,7>",options="header"]
|====
| item | qty
| spam | 42
| eggs | 451
| bacon | 0
|====
orgtbl follows the conventions of Emacs
org-mode, and is editable also
in the minor orgtbl-mode. Hence its name:
>>> print(tabulate(table, headers, tablefmt="orgtbl"))
| item | qty |
|--------+-------|
| spam | 42 |
| eggs | 451 |
| bacon | 0 |
jira follows the conventions of Atlassian Jira markup language:
>>> print(tabulate(table, headers, tablefmt="jira"))
|| item || qty ||
| spam | 42 |
| eggs | 451 |
| bacon | 0 |
rst formats data like a simple table of the
reStructuredText
format:
>>> print(tabulate(table, headers, tablefmt="rst"))
====== =====
item qty
====== =====
spam 42
eggs 451
bacon 0
====== =====
mediawiki format produces a table markup used in
Wikipedia and on other
MediaWiki-based sites:
>>> print(tabulate(table, headers, tablefmt="mediawiki"))
{| class="wikitable" style="text-align: left;"
|+ <!-- caption -->
|-
! item !! align="right"| qty
|-
| spam || align="right"| 42
|-
| eggs || align="right"| 451
|-
| bacon || align="right"| 0
|}
moinmoin format produces a table markup used in
MoinMoin wikis:
>>> print(tabulate(table, headers, tablefmt="moinmoin"))
|| ''' item ''' || ''' quantity ''' ||
|| spam || 41.999 ||
|| eggs || 451 ||
|| bacon || ||
youtrack format produces a table markup used in Youtrack tickets:
>>> print(tabulate(table, headers, tablefmt="youtrack"))
|| item || quantity ||
| spam | 41.999 |
| eggs | 451 |
| bacon | |
textile format produces a table markup used in
Textile format:
>>> print(tabulate(table, headers, tablefmt="textile"))
|_. item |_. qty |
|<. spam |>. 42 |
|<. eggs |>. 451 |
|<. bacon |>. 0 |
html produces standard HTML markup as an html.escape'd str
with a .repr_html method so that Jupyter Lab and Notebook display the HTML
and a .str property so that the raw HTML remains accessible.
unsafehtml table format can be used if an unescaped HTML is required:
>>> print(tabulate(table, headers, tablefmt="html"))
<table>
<tbody>
<tr><th>item </th><th style="text-align: right;"> qty</th></tr>
<tr><td>spam </td><td style="text-align: right;"> 42</td></tr>
<tr><td>eggs </td><td style="text-align: right;"> 451</td></tr>
<tr><td>bacon </td><td style="text-align: right;"> 0</td></tr>
</tbody>
</table>
latex format creates a tabular environment for LaTeX markup,
replacing special characters like _ or \ to their LaTeX
correspondents:
>>> print(tabulate(table, headers, tablefmt="latex"))
\begin{tabular}{lr}
\hline
item & qty \\
\hline
spam & 42 \\
eggs & 451 \\
bacon & 0 \\
\hline
\end{tabular}
latex_raw behaves like latex but does not escape LaTeX commands and
special characters.
latex_booktabs creates a tabular environment for LaTeX markup using
spacing and style from the booktabs package.
latex_longtable creates a table that can stretch along multiple pages,
using the longtable package.
tabulate is smart about column alignment. It detects columns which
contain only numbers, and aligns them by a decimal point (or flushes
them to the right if they appear to be integers). Text columns are
flushed to the left.
You can override the default alignment with numalign and stralign
named arguments. Possible column alignments are: right, center,
left, decimal (only for numbers), and None (to disable alignment).
Aligning by a decimal point works best when you need to compare numbers at a glance:
>>> print(tabulate([[1.2345],[123.45],[12.345],[12345],[1234.5]]))
----------
1.2345
123.45
12.345
12345
1234.5
----------
Compare this with a more common right alignment:
>>> print(tabulate([[1.2345],[123.45],[12.345],[12345],[1234.5]], numalign="right"))
------
1.2345
123.45
12.345
12345
1234.5
------
For tabulate, anything which can be parsed as a number is a number.
Even numbers represented as strings are aligned properly. This feature
comes in handy when reading a mixed table of text and numbers from a
file:
>>> import csv ; from StringIO import StringIO
>>> table = list(csv.reader(StringIO("spam, 42\neggs, 451\n")))
>>> table
[['spam', ' 42'], ['eggs', ' 451']]
>>> print(tabulate(table))
---- ----
spam 42
eggs 451
---- ----
To disable this feature use disable_numparse=True.
>>> print(tabulate.tabulate([["Ver1", "18.0"], ["Ver2","19.2"]], tablefmt="simple", disable_numparse=True))
---- ----
Ver1 18.0
Ver2 19.2
---- ----
tabulate allows a custom column alignment to override the above. The
colalign argument can be a list or a tuple of stralign named
arguments. Possible column alignments are: right, center, left,
decimal (only for numbers), and None (to disable alignment).
Omitting an alignment uses the default. For example:
>>> print(tabulate([["one", "two"], ["three", "four"]], colalign=("right",))
----- ----
one two
three four
----- ----
tabulate allows to define custom number formatting applied to all
columns of decimal numbers. Use floatfmt named argument:
>>> print(tabulate([["pi",3.141593],["e",2.718282]], floatfmt=".4f"))
-- ------
pi 3.1416
e 2.7183
-- ------
floatfmt argument can be a list or a tuple of format strings, one per
column, in which case every column may have different number formatting:
>>> print(tabulate([[0.12345, 0.12345, 0.12345]], floatfmt=(".1f", ".3f")))
--- ----- -------
0.1 0.123 0.12345
--- ----- -------
intfmt works similarly for integers
>>> print(tabulate([["a",1000],["b",90000]], intfmt=","))
- ------
a 1,000
b 90,000
- ------
By default, tabulate removes leading and trailing whitespace from text
columns. To disable whitespace removal, set the global module-level flag
PRESERVE_WHITESPACE:
import tabulate
tabulate.PRESERVE_WHITESPACE = True
To properly align tables which contain wide characters (typically
fullwidth glyphs from Chinese, Japanese or Korean languages), the user
should install wcwidth library. To install it together with
tabulate:
pip install tabulate[widechars]
Wide character support is enabled automatically if wcwidth library is
already installed. To disable wide characters support without
uninstalling wcwidth, set the global module-level flag
WIDE_CHARS_MODE:
import tabulate
tabulate.WIDE_CHARS_MODE = False
Most table formats support multiline cell text (text containing newline characters). The newline characters are honored as line break characters.
Multiline cells are supported for data rows and for header rows.
Further automatic line breaks are not inserted. Of course, some output formats such as latex or html handle automatic formatting of the cell content on their own, but for those that don't, the newline characters in the input cell text are the only means to break a line in cell text.
Note that some output formats (e.g. simple, or plain) do not represent row delimiters, so that the representation of multiline cells in such formats may be ambiguous to the reader.
The following examples of formatted output use the following table with a multiline cell, and headers with a multiline cell:
>>> table = [["eggs",451],["more\nspam",42]]
>>> headers = ["item\nname", "qty"]
plain tables:
>>> print(tabulate(table, headers, tablefmt="plain"))
item qty
name
eggs 451
more 42
spam
simple tables:
>>> print(tabulate(table, headers, tablefmt="simple"))
item qty
name
------ -----
eggs 451
more 42
spam
grid tables:
>>> print(tabulate(table, headers, tablefmt="grid"))
+--------+-------+
| item | qty |
| name | |
+========+=======+
| eggs | 451 |
+--------+-------+
| more | 42 |
| spam | |
+--------+-------+
fancy_grid tables:
>>> print(tabulate(table, headers, tablefmt="fancy_grid"))
╒════════╤═══════╕
│ item │ qty │
│ name │ │
╞════════╪═══════╡
│ eggs │ 451 │
├────────┼───────┤
│ more │ 42 │
│ spam │ │
╘════════╧═══════╛
pipe tables:
>>> print(tabulate(table, headers, tablefmt="pipe"))
| item | qty |
| name | |
|:-------|------:|
| eggs | 451 |
| more | 42 |
| spam | |
orgtbl tables:
>>> print(tabulate(table, headers, tablefmt="orgtbl"))
| item | qty |
| name | |
|--------+-------|
| eggs | 451 |
| more | 42 |
| spam | |
jira tables:
>>> print(tabulate(table, headers, tablefmt="jira"))
| item | qty |
| name | |
|:-------|------:|
| eggs | 451 |
| more | 42 |
| spam | |
presto tables:
>>> print(tabulate(table, headers, tablefmt="presto"))
item | qty
name |
--------+-------
eggs | 451
more | 42
spam |
pretty tables:
>>> print(tabulate(table, headers, tablefmt="pretty"))
+------+-----+
| item | qty |
| name | |
+------+-----+
| eggs | 451 |
| more | 42 |
| spam | |
+------+-----+
psql tables:
>>> print(tabulate(table, headers, tablefmt="psql"))
+--------+-------+
| item | qty |
| name | |
|--------+-------|
| eggs | 451 |
| more | 42 |
| spam | |
+--------+-------+
rst tables:
>>> print(tabulate(table, headers, tablefmt="rst"))
====== =====
item qty
name
====== =====
eggs 451
more 42
spam
====== =====
Multiline cells are not well-supported for the other table formats.
While tabulate supports data passed in with multilines entries explicitly provided, it also provides some support to help manage this work internally.
The maxcolwidths argument is a list where each entry specifies the max width for
it's respective column. Any cell that will exceed this will automatically wrap the content.
To assign the same max width for all columns, a singular int scaler can be used.
Use None for any columns where an explicit maximum does not need to be provided,
and thus no automate multiline wrapping will take place.
The wrapping uses the python standard textwrap.wrap function with default parameters - aside from width.
This example demonstrates usage of automatic multiline wrapping, though typically the lines being wrapped would probably be significantly longer than this.
>>> print(tabulate([["John Smith", "Middle Manager"]], headers=["Name", "Title"], tablefmt="grid", maxcolwidths=[None, 8]))
+------------+---------+
| Name | Title |
+============+=========+
| John Smith | Middle |
| | Manager |
+------------+---------+
One might want to add one or more separating lines to highlight different sections in a table.
The separating lines will be of the same type as the one defined by the specified formatter as either the linebetweenrows, linebelowheader, linebelow, lineabove or just a simple empty line when none is defined for the formatter
>>> from tabulate import tabulate, SEPARATING_LINE
table = [["Earth",6371],
["Mars",3390],
SEPARATING_LINE,
["Moon",1737]]
print(tabulate(table, tablefmt="simple"))
----- ----
Earth 6371
Mars 3390
----- ----
Moon 1737
----- ----
ANSI escape codes are non-printable byte sequences usually used for terminal operations like setting color output or modifying cursor positions. Because multi-byte ANSI sequences are inherently non-printable, they can still introduce unwanted extra length to strings. For example:
>>> len('\033[31mthis text is red\033[0m') # printable length is 16
25
To deal with this, string lengths are calculated after first removing all ANSI escape sequences. This ensures that the actual printable length is used for column widths, rather than the byte length. In the final, printable table, however, ANSI escape sequences are not removed so the original styling is preserved.
Some terminals support a special grouping of ANSI escape sequences that are intended to display hyperlinks much in the same way they are shown in browsers. These are handled just as mentioned before: non-printable ANSI escape sequences are removed prior to string length calculation. The only diifference with escaped hyperlinks is that column width will be based on the length of the URL text rather than the URL itself (terminals would show this text). For example:
>>> len('\x1b]8;;https://example.com\x1b\\example\x1b]8;;\x1b\\') # display length is 7, showing 'example'
45
Usage: tabulate [options] [FILE ...]
FILE a filename of the file with tabular data;
if "-" or missing, read data from stdin.
Options:
-h, --help show this message
-1, --header use the first row of data as a table header
-o FILE, --output FILE print table to FILE (default: stdout)
-s REGEXP, --sep REGEXP use a custom column separator (default: whitespace)
-F FPFMT, --float FPFMT floating point number format (default: g)
-I INTFMT, --int INTFMT integer point number format (default: "")
-f FMT, --format FMT set output table format; supported formats:
plain, simple, github, grid, fancy_grid, pipe,
orgtbl, rst, mediawiki, html, latex, latex_raw,
latex_booktabs, latex_longtable, tsv
(default: simple)
Such features as decimal point alignment and trying to parse everything
as a number imply that tabulate:
It may not be suitable for serializing really big tables (but who's
going to do that, anyway?) or printing tables in performance sensitive
applications. tabulate is about two orders of magnitude slower than
simply joining lists of values with a tab, comma, or other separator.
At the same time, tabulate is comparable to other table
pretty-printers. Given a 10x10 table (a list of lists) of mixed text and
numeric data, tabulate appears to be slower than asciitable, and
faster than PrettyTable and texttable The following mini-benchmark
was run in Python 3.9.13 on Windows 10:
================================= ========== ===========
Table formatter time, μs rel. time
================================= ========== ===========
csv to StringIO 12.5 1.0
join with tabs and newlines 14.6 1.2
asciitable (0.8.0) 192.0 15.4
tabulate (0.9.0) 483.5 38.7
tabulate (0.9.0, WIDE_CHARS_MODE) 637.6 51.1
PrettyTable (3.4.1) 1080.6 86.6
texttable (1.6.4) 1390.3 111.4
================================= ========== ===========
The full version history can be found at the changelog.
Contributions should include tests and an explanation for the changes they propose. Documentation (examples, docstrings, README.md) should be updated accordingly.
This project uses pytest testing
framework and tox to automate testing in
different environments. Add tests to one of the files in the test/
folder.
To run tests on all supported Python versions, make sure all Python
interpreters, pytest and tox are installed, then run tox in the root
of the project source tree.
On Linux tox expects to find executables like python3.7, python3.8 etc.
On Windows it looks for C:\Python37\python.exe, C:\Python38\python.exe etc. respectively.
One way to install all the required versions of the Python interpreter is to use pyenv. All versions can then be easily installed with something like:
pyenv install 3.7.12
pyenv install 3.8.12
...
Don't forget to change your PATH so that tox knows how to find all the installed versions. Something like
export PATH="${PATH}:${HOME}/.pyenv/shims"
To test only some Python environments, use -e option. For example, to
test only against Python 3.7 and Python 3.10, run:
tox -e py37,py310
in the root of the project source tree.
To enable NumPy and Pandas tests, run:
tox -e py37-extra,py310-extra
(this may take a long time the first time, because NumPy and Pandas will have to be installed in the new virtual environments)
To fix code formatting:
tox -e lint
See tox.ini file to learn how to use to test
individual Python versions.
Sergey Astanin, Pau Tallada Crespí, Erwin Marsi, Mik Kocikowski, Bill Ryder, Zach Dwiel, Frederik Rietdijk, Philipp Bogensberger, Greg (anonymous), Stefan Tatschner, Emiel van Miltenburg, Brandon Bennett, Amjith Ramanujam, Jan Schulz, Simon Percivall, Javier Santacruz López-Cepero, Sam Denton, Alexey Ziyangirov, acaird, Cesar Sanchez, naught101, John Vandenberg, Zack Dever, Christian Clauss, Benjamin Maier, Andy MacKinlay, Thomas Roten, Jue Wang, Joe King, Samuel Phan, Nick Satterly, Daniel Robbins, Dmitry B, Lars Butler, Andreas Maier, Dick Marinus, Sébastien Celles, Yago González, Andrew Gaul, Wim Glenn, Jean Michel Rouly, Tim Gates, John Vandenberg, Sorin Sbarnea, Wes Turner, Andrew Tija, Marco Gorelli, Sean McGinnis, danja100, endolith, Dominic Davis-Foster, pavlocat, Daniel Aslau, paulc, Felix Yan, Shane Loretz, Frank Busse, Harsh Singh, Derek Weitzel, Vladimir Vrzić, 서승우 (chrd5273), Georgy Frolov, Christian Cwienk, Bart Broere, Vilhelm Prytz, Alexander Gažo, Hugo van Kemenade, jamescooke, Matt Warner, Jérôme Provensal, Kevin Deldycke, Kian-Meng Ang, Kevin Patterson, Shodhan Save, cleoold, KOLANICH, Vijaya Krishna Kasula, Furcy Pin, Christian Fibich, Shaun Duncan, Dimitri Papadopoulos.
FAQs
Pretty-print tabular data
We found that tabulate demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
In this segment of the Risky Business podcast, Feross Aboukhadijeh and Patrick Gray discuss the challenges of tracking malware discovered in open source softare.
Research
Security News
A threat actor's playbook for exploiting the npm ecosystem was exposed on the dark web, detailing how to build a blockchain-powered botnet.
Security News
NVD’s backlog surpasses 20,000 CVEs as analysis slows and NIST announces new system updates to address ongoing delays.