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ciso8601

ciso8601 converts ISO 8601 or RFC 3339 date time strings into Python datetime objects.

Since it's written as a C module, it is much faster than other Python libraries. Tested with cPython 2.7, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 3.10, 3.11, 3.12.

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% pip install ciso8601
In [1]: import ciso8601

In [2]: ciso8601.parse_datetime('2014-12-05T12:30:45.123456-05:30')
Out[2]: datetime.datetime(2014, 12, 5, 12, 30, 45, 123456, tzinfo=pytz.FixedOffset(330))

In [3]: ciso8601.parse_datetime('20141205T123045')
Out[3]: datetime.datetime(2014, 12, 5, 12, 30, 45)

Version 2.0.0 of ciso8601 changed the core implementation. This was not entirely backwards compatible, and care should be taken when migrating See CHANGELOG for the Migration Guide.

ciso8601 is not necessarily the best solution for every use case (especially since Python 3.11). See Should I use ciso8601?

Starting in v2.0.0, ciso8601 offers strong guarantees when it comes to parsing strings.

parse_datetime(dt: String): datetime is a function that takes a string and either:

  • Returns a properly parsed Python datetime, if and only if the entire string conforms to the supported subset of ISO 8601
  • Raises a ValueError with a description of the reason why the string doesn't conform to the supported subset of ISO 8601

If time zone information is provided, an aware datetime object will be returned. Otherwise, a naive datetime is returned.

Parsing a timestamp with no time zone information (e.g., 2014-01-09T21:48:00):

Module Python 3.12 Python 3.11 Python 3.10 Python 3.9 Relative slowdown (versus ciso8601, latest Python) Python 3.8 Python 3.7 Python 2.7
ciso8601 98 nsec 90 nsec 122 nsec 122 nsec N/A 118 nsec 124 nsec 134 nsec
backports.datetime_fromisoformat N/A N/A 112 nsec 108 nsec 0.9x 106 nsec 118 nsec N/A
datetime (builtin) 129 nsec 132 nsec N/A N/A 1.3x N/A N/A N/A
pendulum N/A 180 nsec 187 nsec 186 nsec 2.0x 196 nsec 200 nsec 8.52 usec
udatetime 695 nsec 662 nsec 674 nsec 692 nsec 7.1x 724 nsec 713 nsec 586 nsec
str2date 6.86 usec 5.78 usec 6.59 usec 6.4 usec 70.0x 6.66 usec 6.96 usec
iso8601utils N/A N/A N/A 8.59 usec 70.5x 8.6 usec 9.59 usec 11.2 usec
iso8601 10 usec 8.24 usec 8.96 usec 9.21 usec 102.2x 9.14 usec 9.63 usec 25.7 usec
isodate 11.1 usec 8.76 usec 10.2 usec 9.76 usec 113.6x 9.92 usec 11 usec 44.1 usec
PySO8601 17.2 usec 13.6 usec 16 usec 15.8 usec 175.3x 16.1 usec 17.1 usec 17.7 usec
aniso8601 22.2 usec 17.8 usec 23.2 usec 23.1 usec 227.0x 24.3 usec 27.2 usec 30.7 usec
zulu 23.3 usec 19 usec 22 usec 21.3 usec 237.9x 21.6 usec 22.7 usec N/A
maya N/A 36.1 usec 42.5 usec 42.7 usec 401.6x 41.3 usec 44.2 usec N/A
python-dateutil 57.6 usec 51.4 usec 63.3 usec 62.6 usec 587.7x 63.7 usec 67.3 usec 119 usec
arrow 62 usec 54 usec 65.5 usec 65.7 usec 633.0x 66.6 usec 70.2 usec 78.8 usec
metomi-isodatetime 1.29 msec 1.33 msec 1.76 msec 1.77 msec 13201.1x 1.79 msec 1.91 msec N/A
moment 1.81 msec 1.65 msec 1.75 msec 1.79 msec 18474.8x 1.78 msec 1.84 msec N/A

ciso8601 takes 98 nsec, which is 1.3x faster than datetime (builtin), the next fastest Python 3.12 parser in this comparison.

Parsing a timestamp with time zone information (e.g., 2014-01-09T21:48:00-05:30):

Module Python 3.12 Python 3.11 Python 3.10 Python 3.9 Relative slowdown (versus ciso8601, latest Python) Python 3.8 Python 3.7 Python 2.7
ciso8601 95 nsec 96.8 nsec 128 nsec 123 nsec N/A 125 nsec 125 nsec 140 nsec
backports.datetime_fromisoformat N/A N/A 147 nsec 149 nsec 1.1x 138 nsec 149 nsec N/A
datetime (builtin) 198 nsec 207 nsec N/A N/A 2.1x N/A N/A N/A
pendulum N/A 225 nsec 214 nsec 211 nsec 2.3x 219 nsec 224 nsec 13.5 usec
udatetime 799 nsec 803 nsec 805 nsec 830 nsec 8.4x 827 nsec 805 nsec 768 nsec
str2date 7.73 usec 6.75 usec 7.78 usec 7.8 usec 81.4x 7.74 usec 8.13 usec
iso8601 13.7 usec 11.3 usec 12.7 usec 12.5 usec 143.8x 12.4 usec 12.6 usec 31.1 usec
isodate 13.7 usec 11.3 usec 12.9 usec 12.7 usec 144.0x 12.7 usec 13.9 usec 46.7 usec
iso8601utils N/A N/A N/A 21.4 usec 174.9x 22.1 usec 23.4 usec 28.3 usec
PySO8601 25.1 usec 20.4 usec 23.2 usec 23.8 usec 263.8x 23.5 usec 24.8 usec 25.3 usec
zulu 26.3 usec 21.4 usec 25.7 usec 24 usec 277.2x 24.5 usec 25.3 usec N/A
aniso8601 27.7 usec 23.7 usec 30.3 usec 30 usec 291.3x 31.6 usec 33.8 usec 39.2 usec
maya N/A 36 usec 41.3 usec 41.8 usec 372.0x 42.4 usec 42.7 usec N/A
python-dateutil 70.7 usec 65.1 usec 77.9 usec 80.2 usec 744.0x 79.4 usec 83.6 usec 100 usec
arrow 73 usec 62.8 usec 74.5 usec 73.9 usec 768.6x 75.1 usec 80 usec 148 usec
metomi-isodatetime 1.22 msec 1.25 msec 1.72 msec 1.72 msec 12876.3x 1.76 msec 1.83 msec N/A
moment 2305822.8x N/A

ciso8601 takes 95 nsec, which is 2.1x faster than datetime (builtin), the next fastest Python 3.12 parser in this comparison.

Tested on Linux 5.15.49-linuxkit using the following modules:

aniso8601==9.0.1
arrow==1.3.0 (on Python 3.8, 3.9, 3.10, 3.11, 3.12), arrow==1.2.3 (on Python 3.7), arrow==0.17.0 (on Python 2.7)
backports.datetime_fromisoformat==2.0.1
ciso8601==2.3.0
iso8601==2.1.0 (on Python 3.8, 3.9, 3.10, 3.11, 3.12), iso8601==0.1.16 (on Python 2.7)
iso8601utils==0.1.2
isodate==0.6.1
maya==0.6.1
metomi-isodatetime==1!3.1.0
moment==0.12.1
pendulum==2.1.2
PySO8601==0.2.0
python-dateutil==2.8.2
str2date==0.905
udatetime==0.0.17
zulu==2.0.0

For full benchmarking details (or to run the benchmark yourself), see benchmarking/README.rst

ciso8601 only supports a subset of ISO 8601, but supports a superset of what is supported by Python itself (datetime.fromisoformat), and supports the entirety of the RFC 3339 specification.

The following date formats are supported:

Format Example Supported
YYYY-MM-DD (extended) 2018-04-29
YYYY-MM (extended) 2018-04
YYYYMMDD (basic) 20180429
YYYY-Www-D (week date) 2009-W01-1
YYYY-Www (week date) 2009-W01
YYYYWwwD (week date) 2009W011
YYYYWww (week date) 2009W01
YYYY-DDD (ordinal date) 1981-095
YYYYDDD (ordinal date) 1981095

Uncommon ISO 8601 date formats are not supported:

Format Example Supported
--MM-DD (omitted year) --04-29
--MMDD (omitted year) --0429
±YYYYY-MM (>4 digit year) +10000-04
+YYYY-MM (leading +) +2018-04
-YYYY-MM (negative -) -2018-04

Times are optional and are separated from the date by the letter T.

Consistent with RFC 3339, ciso8601 also allows either a space character, or a lower-case t, to be used instead of a T.

The following time formats are supported:

Format Example Supported
hh 11
hhmm 1130
hh:mm 11:30
hhmmss 113059
hh:mm:ss 11:30:59
hhmmss.ssssss 113059.123456
hh:mm:ss.ssssss 11:30:59.123456
hhmmss,ssssss 113059,123456
hh:mm:ss,ssssss 11:30:59,123456
Midnight (special case) 24:00:00
hh.hhh (fractional hours) 11.5
hh:mm.mmm (fractional minutes) 11:30.5

Note: Python datetime objects only have microsecond precision (6 digits). Any additional precision will be truncated.

Time zone information may be provided in one of the following formats:

Format Example Supported
Z Z
z z
±hh +11
±hhmm +1130
±hh:mm +11:30

While the ISO 8601 specification allows the use of MINUS SIGN (U+2212) in the time zone separator, ciso8601 only supports the use of the HYPHEN-MINUS (U+002D) character.

Consistent with RFC 3339, ciso8601 also allows a lower-case z to be used instead of a Z.

ciso8601 parses ISO 8601 datetimes, which can be thought of as a superset of RFC 3339 (roughly). In cases where you might want strict RFC 3339 parsing, ciso8601 offers a parse_rfc3339 method, which behaves in a similar manner to parse_datetime:

parse_rfc3339(dt: String): datetime is a function that takes a string and either:

  • Returns a properly parsed Python datetime, if and only if the entire string conforms to RFC 3339.
  • Raises a ValueError with a description of the reason why the string doesn't conform to RFC 3339.

It takes more time to parse timestamps with time zone information, especially if they're not in UTC. However, there are times when you don't care about time zone information, and wish to produce naive datetimes instead. For example, if you are certain that your program will only parse timestamps from a single time zone, you might want to strip the time zone information and only output naive datetimes.

In these limited cases, there is a second function provided. parse_datetime_as_naive will ignore any time zone information it finds and, as a result, is faster for timestamps containing time zone information.

In [1]: import ciso8601

In [2]: ciso8601.parse_datetime_as_naive('2014-12-05T12:30:45.123456-05:30')
Out[2]: datetime.datetime(2014, 12, 5, 12, 30, 45, 123456)

NOTE: parse_datetime_as_naive is only useful in the case where your timestamps have time zone information, but you want to ignore it. This is somewhat unusual. If your timestamps don't have time zone information (i.e. are naive), simply use parse_datetime. It is just as fast.