ciso8601

======== ciso8601

… image:: https://img.shields.io/pypi/v/ciso8601.svg :target: https://pypi.org/project/ciso8601/

… image:: https://img.shields.io/pypi/pyversions/ciso8601.svg :target: https://pypi.org/project/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 3.8, 3.9, 3.10, 3.11, 3.12, 3.13, 3.14.

… _ISO 8601: https://en.wikipedia.org/wiki/ISO_8601 … _RFC 3339: https://tools.ietf.org/html/rfc3339

(Interested in working on projects like this? Close_ is looking for great engineers_ to join our team)

… _Close: https://close.com … _great engineers: https://jobs.close.com

… contents:: Contents

Quick start

… code:: bash

% pip install ciso8601

… code:: python

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)

Migration to v2

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.

… _CHANGELOG: https://github.com/closeio/ciso8601/blob/master/CHANGELOG.md

When should I not use ciso8601?

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

… _Should I use ciso8601?: https://github.com/closeio/ciso8601/blob/master/why_ciso8601.md

Error handling

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.

Benchmark

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

… include:benchmark_with_no_time_zone.rst

… table::

+--------------------------------+-----------+-----------+-----------+-----------+--------------------------------------------------+-+-----------+----------+----------+
|             Module             |Python 3.14|Python 3.13|Python 3.12|Python 3.11|Relative slowdown (versus ciso8601, latest Python)|…|Python 3.10|Python 3.9|Python 3.8|
+================================+===========+===========+===========+===========+==================================================+=+===========+==========+==========+
|ciso8601                        |69.3 nsec  |60.4 nsec  |64.8 nsec  |59.5 nsec  |N/A                                               |…|89.4 nsec  |85.7 nsec |93.5 nsec |
+--------------------------------+-----------+-----------+-----------+-----------+--------------------------------------------------+-+-----------+----------+----------+
|backports.datetime_fromisoformat|N/A        |N/A        |N/A        |N/A        |0.9x                                              |…|76.4 nsec  |71.6 nsec |79 nsec   |
+--------------------------------+-----------+-----------+-----------+-----------+--------------------------------------------------+-+-----------+----------+----------+
|datetime (builtin)              |125 nsec   |123 nsec   |136 nsec   |127 nsec   |1.8x                                              |…|N/A        |N/A       |N/A       |
+--------------------------------+-----------+-----------+-----------+-----------+--------------------------------------------------+-+-----------+----------+----------+
|udatetime                       |543 nsec   |543 nsec   |538 nsec   |520 nsec   |7.8x                                              |…|544 nsec   |544 nsec  |553 nsec  |
+--------------------------------+-----------+-----------+-----------+-----------+--------------------------------------------------+-+-----------+----------+----------+
|python-dateutil                 |3.14 usec  |3.41 usec  |4.03 usec  |3.46 usec  |45.3x                                             |…|4.14 usec  |4.16 usec |4.22 usec |
+--------------------------------+-----------+-----------+-----------+-----------+--------------------------------------------------+-+-----------+----------+----------+
|str2date                        |3.21 usec  |3.28 usec  |3.61 usec  |3.51 usec  |46.3x                                             |…|3.76 usec  |3.71 usec |3.91 usec |
+--------------------------------+-----------+-----------+-----------+-----------+--------------------------------------------------+-+-----------+----------+----------+
|pendulum                        |4.19 usec  |152 nsec   |126 nsec   |136 nsec   |60.4x                                             |…|148 nsec   |145 nsec  |181 nsec  |
+--------------------------------+-----------+-----------+-----------+-----------+--------------------------------------------------+-+-----------+----------+----------+
|iso8601utils                    |N/A        |N/A        |N/A        |N/A        |53.9x                                             |…|N/A        |4.62 usec |5.05 usec |
+--------------------------------+-----------+-----------+-----------+-----------+--------------------------------------------------+-+-----------+----------+----------+
|iso8601                         |4.97 usec  |5.14 usec  |5.37 usec  |5.33 usec  |71.6x                                             |…|5.21 usec  |5.25 usec |5.7 usec  |
+--------------------------------+-----------+-----------+-----------+-----------+--------------------------------------------------+-+-----------+----------+----------+
|isodate                         |5.24 usec  |5.72 usec  |5.9 usec   |5.53 usec  |75.6x                                             |…|5.61 usec  |5.81 usec |6.07 usec |
+--------------------------------+-----------+-----------+-----------+-----------+--------------------------------------------------+-+-----------+----------+----------+
|PySO8601                        |9.56 usec  |10.2 usec  |9.53 usec  |7.99 usec  |137.9x                                            |…|9.53 usec  |9.98 usec |27.8 usec |
+--------------------------------+-----------+-----------+-----------+-----------+--------------------------------------------------+-+-----------+----------+----------+
|aniso8601                       |12.2 usec  |12.3 usec  |12.9 usec  |11.7 usec  |175.7x                                            |…|15.5 usec  |16 usec   |15.7 usec |
+--------------------------------+-----------+-----------+-----------+-----------+--------------------------------------------------+-+-----------+----------+----------+
|zulu                            |12.4 usec  |12.5 usec  |13.8 usec  |13.1 usec  |178.3x                                            |…|14.3 usec  |14.6 usec |14.3 usec |
+--------------------------------+-----------+-----------+-----------+-----------+--------------------------------------------------+-+-----------+----------+----------+
|arrow                           |42.5 usec  |42.9 usec  |42.4 usec  |42.5 usec  |612.6x                                            |…|49.8 usec  |50.1 usec |49.1 usec |
+--------------------------------+-----------+-----------+-----------+-----------+--------------------------------------------------+-+-----------+----------+----------+
|maya                            |46.6 usec  |35.4 usec  |42.5 usec  |39.1 usec  |671.5x                                            |…|44.1 usec  |44.8 usec |46.7 usec |
+--------------------------------+-----------+-----------+-----------+-----------+--------------------------------------------------+-+-----------+----------+----------+
|metomi-isodatetime              |808 usec   |852 usec   |810 usec   |831 usec   |11647.5x                                          |…|1.1 msec   |1.09 msec |1.11 msec |
+--------------------------------+-----------+-----------+-----------+-----------+--------------------------------------------------+-+-----------+----------+----------+
|moment                          |1.22 msec  |1.3 msec   |1.3 msec   |1.38 msec  |17631.5x                                          |…|1.36 msec  |1.4 msec  |1.39 msec |
+--------------------------------+-----------+-----------+-----------+-----------+--------------------------------------------------+-+-----------+----------+----------+

ciso8601 takes 69.3 nsec, which is 1.8x faster than datetime (builtin), the next fastest Python 3.14 parser in this comparison.

… </include:benchmark_with_no_time_zone.rst>

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

… include:benchmark_with_time_zone.rst

… table::

+--------------------------------+-----------+-----------+-----------+-----------+--------------------------------------------------+-+-----------+----------+----------+
|             Module             |Python 3.14|Python 3.13|Python 3.12|Python 3.11|Relative slowdown (versus ciso8601, latest Python)|…|Python 3.10|Python 3.9|Python 3.8|
+================================+===========+===========+===========+===========+==================================================+=+===========+==========+==========+
|ciso8601                        |71.8 nsec  |70.3 nsec  |75.1 nsec  |67.3 nsec  |N/A                                               |…|98.3 nsec  |92.9 nsec |97.8 nsec |
+--------------------------------+-----------+-----------+-----------+-----------+--------------------------------------------------+-+-----------+----------+----------+
|backports.datetime_fromisoformat|N/A        |N/A        |N/A        |N/A        |1.1x                                              |…|103 nsec   |99.1 nsec |102 nsec  |
+--------------------------------+-----------+-----------+-----------+-----------+--------------------------------------------------+-+-----------+----------+----------+
|datetime (builtin)              |197 nsec   |197 nsec   |199 nsec   |179 nsec   |2.7x                                              |…|N/A        |N/A       |N/A       |
+--------------------------------+-----------+-----------+-----------+-----------+--------------------------------------------------+-+-----------+----------+----------+
|udatetime                       |661 nsec   |638 nsec   |664 nsec   |643 nsec   |9.2x                                              |…|669 nsec   |664 nsec  |669 nsec  |
+--------------------------------+-----------+-----------+-----------+-----------+--------------------------------------------------+-+-----------+----------+----------+
|str2date                        |4.04 usec  |3.91 usec  |4.38 usec  |4.49 usec  |56.2x                                             |…|4.66 usec  |4.81 usec |4.9 usec  |
+--------------------------------+-----------+-----------+-----------+-----------+--------------------------------------------------+-+-----------+----------+----------+
|python-dateutil                 |4.95 usec  |5.61 usec  |6.33 usec  |5.73 usec  |68.9x                                             |…|6.87 usec  |6.85 usec |7.17 usec |
+--------------------------------+-----------+-----------+-----------+-----------+--------------------------------------------------+-+-----------+----------+----------+
|pendulum                        |6.53 usec  |202 nsec   |200 nsec   |210 nsec   |91.0x                                             |…|222 nsec   |221 nsec  |262 nsec  |
+--------------------------------+-----------+-----------+-----------+-----------+--------------------------------------------------+-+-----------+----------+----------+
|isodate                         |7.5 usec   |7.79 usec  |8.26 usec  |7.74 usec  |104.4x                                            |…|7.76 usec  |7.8 usec  |8.4 usec  |
+--------------------------------+-----------+-----------+-----------+-----------+--------------------------------------------------+-+-----------+----------+----------+
|iso8601                         |7.79 usec  |7.71 usec  |8.37 usec  |7.92 usec  |108.4x                                            |…|7.65 usec  |7.69 usec |7.98 usec |
+--------------------------------+-----------+-----------+-----------+-----------+--------------------------------------------------+-+-----------+----------+----------+
|iso8601utils                    |N/A        |N/A        |N/A        |N/A        |143.3x                                            |…|N/A        |13.3 usec |14.4 usec |
+--------------------------------+-----------+-----------+-----------+-----------+--------------------------------------------------+-+-----------+----------+----------+
|PySO8601                        |15.8 usec  |16 usec    |16.7 usec  |14.6 usec  |219.7x                                            |…|16.1 usec  |16.2 usec |16.7 usec |
+--------------------------------+-----------+-----------+-----------+-----------+--------------------------------------------------+-+-----------+----------+----------+
|zulu                            |16.6 usec  |16.2 usec  |17.1 usec  |15.9 usec  |230.9x                                            |…|17.2 usec  |17.2 usec |17.4 usec |
+--------------------------------+-----------+-----------+-----------+-----------+--------------------------------------------------+-+-----------+----------+----------+
|aniso8601                       |17.6 usec  |17.8 usec  |19 usec    |17.4 usec  |244.8x                                            |…|21.7 usec  |22.8 usec |22.8 usec |
+--------------------------------+-----------+-----------+-----------+-----------+--------------------------------------------------+-+-----------+----------+----------+
|arrow                           |49 usec    |52.1 usec  |52 usec    |49.7 usec  |682.3x                                            |…|58.8 usec  |58 usec   |58.5 usec |
+--------------------------------+-----------+-----------+-----------+-----------+--------------------------------------------------+-+-----------+----------+----------+
|maya                            |54.2 usec  |41.4 usec  |44.6 usec  |39.6 usec  |755.5x                                            |…|45.3 usec  |45.7 usec |46.1 usec |
+--------------------------------+-----------+-----------+-----------+-----------+--------------------------------------------------+-+-----------+----------+----------+
|metomi-isodatetime              |794 usec   |870 usec   |806 usec   |806 usec   |11055.0x                                          |…|1.1 msec   |1.09 msec |1.15 msec |
+--------------------------------+-----------+-----------+-----------+-----------+--------------------------------------------------+-+-----------+----------+----------+
|moment                          |❌         |❌         |❌         |❌         |2163866.8x                                        |…|❌         |❌        |❌        |
+--------------------------------+-----------+-----------+-----------+-----------+--------------------------------------------------+-+-----------+----------+----------+

ciso8601 takes 71.8 nsec, which is 2.7x faster than datetime (builtin), the next fastest Python 3.14 parser in this comparison.

… </include:benchmark_with_time_zone.rst>

… include:benchmark_module_versions.rst

Tested on Linux 6.17.4-orbstack-00308-g195e9689a04f using the following modules:

… code:: python

aniso8601==10.0.1 arrow==1.4.0 backports.datetime_fromisoformat==2.0.3 ciso8601==2.3.3 iso8601==2.1.0 iso8601utils==0.1.2 isodate==0.7.2 maya==0.6.1 metomi-isodatetime==1!3.1.0 moment==0.12.1 pendulum==3.1.0 (on Python 3.9, 3.10, 3.11, 3.12, 3.13, 3.14), pendulum==3.0.0 (on Python 3.8) PySO8601==0.2.0 python-dateutil==2.9.0.post0 str2date==0.905 udatetime==0.0.17 zulu==2.0.1

… </include:benchmark_module_versions.rst>

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

… _benchmarking/README.rst: https://github.com/closeio/ciso8601/blob/master/benchmarking/README.rst

Supported subset of ISO 8601

… |datetime.fromisoformat| replace:: datetime.fromisoformat … _datetime.fromisoformat: https://docs.python.org/3/library/datetime.html#datetime.datetime.fromisoformat

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.

Date formats ^^^^^^^^^^^^

The following date formats are supported:

… table:: :widths: auto

============================= ============== ================== 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:

… table:: :widths: auto

============================= ============== ================== 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 ❌ ============================= ============== ==================

Time formats ^^^^^^^^^^^^

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.

__ https://stackoverflow.com/questions/522251/whats-the-difference-between-iso-8601-and-rfc-3339-date-formats

The following time formats are supported:

… table:: :widths: auto

=================================== =================== ============== 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 ^^^^^^^^^^^^^^^^^^^^^

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

… table:: :widths: auto

========== ========== =========== 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.

Strict RFC 3339 parsing

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:

… _roughly: https://stackoverflow.com/questions/522251/whats-the-difference-between-iso-8601-and-rfc-3339-date-formats

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.

Ignoring time zone information while parsing

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.

… code:: python

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.