ciso8601

Fast ISO8601 date time parser for Python written in C

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Project description

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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, 3.13, 3.14.

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Quick start

% 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)

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.

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?

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):

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	26.4 nsec	23.4 nsec	24.5 nsec	25.4 nsec	N/A	…	35.9 nsec	35.6 nsec	37 nsec
backports.datetime_fromisoformat	N/A	N/A	N/A	N/A	0.8x	…	30.3 nsec	30.7 nsec	32 nsec
datetime (builtin)	51.5 nsec	48 nsec	54.8 nsec	53.9 nsec	2.0x	…	N/A	N/A	N/A
udatetime	269 nsec	277 nsec	277 nsec	280 nsec	10.2x	…	280 nsec	279 nsec	280 nsec
str2date	1.4 usec	1.42 usec	1.59 usec	1.59 usec	52.9x	…	1.62 usec	1.64 usec	1.76 usec
pendulum	1.74 usec	65.2 nsec	64.8 nsec	64.7 nsec	65.8x	…	64.6 nsec	66.4 nsec	86.4 nsec
iso8601	2.13 usec	2.2 usec	2.35 usec	2.1 usec	80.6x	…	2.3 usec	2.31 usec	2.47 usec
iso8601utils	N/A	N/A	N/A	N/A	61.5x	…	N/A	2.19 usec	2.51 usec
isodate	2.36 usec	2.52 usec	2.78 usec	2.18 usec	89.3x	…	2.41 usec	2.4 usec	2.49 usec
PySO8601	3.55 usec	3.79 usec	3.79 usec	3.11 usec	134.6x	…	3.94 usec	3.64 usec	6.79 usec
aniso8601	4.32 usec	4.74 usec	4.95 usec	4.37 usec	163.9x	…	5.53 usec	5.19 usec	5.72 usec
zulu	4.71 usec	4.63 usec	5.12 usec	4.54 usec	178.7x	…	5.17 usec	4.93 usec	5.17 usec
python-dateutil	10.3 usec	11.4 usec	12.6 usec	11.9 usec	390.4x	…	14.9 usec	15.3 usec	15.8 usec
arrow	13.3 usec	13.4 usec	14.7 usec	13.5 usec	503.5x	…	16.7 usec	16.2 usec	17.4 usec
maya	13.7 usec	10.9 usec	14.7 usec	12.7 usec	520.0x	…	15.7 usec	14.5 usec	16 usec
metomi-isodatetime	335 usec	345 usec	353 usec	359 usec	12687.0x	…	480 usec	468 usec	508 usec
moment	487 usec	502 usec	525 usec	503 usec	18471.2x	…	563 usec	559 usec	576 usec

ciso8601 takes 26.4 nsec, which is 2.0x faster than datetime (builtin), the next fastest Python 3.14 parser in this comparison.

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

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	30.7 nsec	27.8 nsec	27.9 nsec	29.3 nsec	N/A	…	39 nsec	39.4 nsec	40.2 nsec
backports.datetime_fromisoformat	N/A	N/A	N/A	N/A	1.2x	…	46.6 nsec	48.4 nsec	49.1 nsec
datetime (builtin)	81.6 nsec	72.7 nsec	77.8 nsec	68.8 nsec	2.7x	…	N/A	N/A	N/A
udatetime	344 nsec	321 nsec	334 nsec	332 nsec	11.2x	…	331 nsec	332 nsec	336 nsec
str2date	1.67 usec	1.73 usec	1.94 usec	1.77 usec	54.2x	…	1.96 usec	1.94 usec	2.08 usec
pendulum	2.48 usec	104 nsec	104 nsec	104 nsec	80.7x	…	106 nsec	105 nsec	130 nsec
iso8601	3.04 usec	3.24 usec	3.42 usec	3.06 usec	98.7x	…	3.17 usec	3.18 usec	3.52 usec
isodate	3.14 usec	3.16 usec	3.39 usec	2.88 usec	102.3x	…	3.1 usec	3.12 usec	3.26 usec
iso8601utils	N/A	N/A	N/A	N/A	126.4x	…	N/A	4.98 usec	5.3 usec
PySO8601	5.11 usec	5.23 usec	5.67 usec	4.75 usec	166.3x	…	5.31 usec	5.23 usec	5.72 usec
zulu	5.47 usec	5.66 usec	6.08 usec	5.26 usec	177.9x	…	5.85 usec	5.83 usec	5.96 usec
aniso8601	5.96 usec	6.42 usec	7.19 usec	6.18 usec	194.0x	…	7.56 usec	7.26 usec	7.91 usec
python-dateutil	13.2 usec	14.6 usec	15.6 usec	15.9 usec	428.8x	…	19.7 usec	20 usec	20.6 usec
arrow	15.6 usec	16.3 usec	19.5 usec	16.1 usec	507.7x	…	20 usec	19.3 usec	19.9 usec
maya	15.8 usec	12 usec	14.4 usec	12.4 usec	512.7x	…	15 usec	14.7 usec	15.1 usec
metomi-isodatetime	329 usec	346 usec	342 usec	335 usec	10692.8x	…	475 usec	482 usec	487 usec
moment	❌	❌	❌	❌	2112732.4x	…	❌	❌	❌

ciso8601 takes 30.7 nsec, which is 2.7x faster than datetime (builtin), the next fastest Python 3.14 parser in this comparison.

Tested on Linux 6.14.10-orbstack-00291-g1b252bd3edea using the following modules:

aniso8601==10.0.1
arrow==1.3.0
backports.datetime_fromisoformat==2.0.3
ciso8601==2.3.2
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

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

Supported subset of ISO 8601

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:

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	❌

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.

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

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.

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.

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.

Project details

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This version

2.3.3

Aug 20, 2025

2.3.2

Dec 9, 2024

2.3.1

Oct 30, 2023

2.3.0

Dec 21, 2022

2.2.0

Aug 6, 2021

2.1.3

Feb 6, 2020

2.1.2

Oct 18, 2019

2.1.1

Oct 3, 2018

2.1.0

Oct 3, 2018

2.0.1

Jun 4, 2018

2.0.0

Jun 1, 2018

1.0.8

May 14, 2018

1.0.7

Jan 30, 2018

1.0.6

Jan 4, 2018

1.0.5

Aug 31, 2017

1.0.4

Aug 31, 2017

1.0.3

Dec 21, 2016

1.0.2

May 26, 2016

1.0.1

Jun 9, 2014

1.0

Jun 9, 2014

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