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This release is a pre-release and may not be stable for production use.

⏰ Whenever

Type-safe datetimes for Python that get DST right. Rust or pure Python—your choice.

Do you cross your fingers every time you work with Python's datetime—hoping that you didn't mix naive and aware, or run into one of its other pitfalls?

Whenever takes the guesswork out, bringing well-established concepts from modern libraries in other languages to Python. Mixing up naive and aware becomes a type error instead of a bug you find in production, and DST is handled correctly in all arithmetic. It's also way faster than other third-party libraries, and usually the standard library as well. Rather not depend on a Rust extension? A pure-Python backend is available too.

Shows a bar chart with benchmark results.

Parse, normalize, compare to now, shift, change time zone, and format (1M times)

⚠️ Note: 0.11 ships the 1.0 API. The deprecated spellings keep working as shims until 1.0, and the changelog's migration table lists each one. Leave a ⭐️ on GitHub if you'd like to see how this project develops!

Why not the standard library?

Over 20+ years, Python's datetime has grown out of step with what you'd expect from a modern datetime library. Two points stand out:

  1. It doesn't always account for daylight saving time (DST). Here is a simple example:

    bedtime = datetime(2023, 3, 25, 22, tzinfo=ZoneInfo("Europe/Paris"))
    full_rest = bedtime + timedelta(hours=8)
    # It returns 6am, but should be 7am—because we skipped an hour due to DST!
    

    Note this isn't a bug, but a design decision that DST is only considered when calculations involve two time zones. If you think this is surprising, you are not alone.

  2. Typing can't distinguish between naive and aware datetimes. Your code probably only works with one or the other, but there's no way to enforce this in the type system!

    # Does this expect naive or aware? Can't tell!
    def schedule_meeting(at: datetime) -> None: ...
    

Why not other libraries?

There are two other popular third-party libraries, but they don't (fully) address these issues. Here's how they compare to whenever and the standard library:

Whenever datetime Arrow Pendulum
DST-safe ✅ ❌ ❌ ⚠️
Typed aware/naive ✅ ❌ ❌ ❌
Fast ✅ ✅ ❌ ❌

Arrow puts a friendlier API on top of the standard library's model — pitfalls included. Its single do-it-all type and anything-goes arrow.get() make mistakes harder for type checkers to catch, not easier. Full comparison →

Pendulum promised to fix datetime as a drop-in replacement — but a subclass can't change behavior and stay drop-in. The result is an API built on guesswork: + inspects the call stack to guess which semantics the caller expects, missing time zones become UTC, and incomplete input is completed from the clock. Bugs follow: today() can even return yesterday. Full comparison →

Why use whenever?

  • 🌐 DST-safe arithmetic
  • 🛡️ Typesafe API prevents common bugs
  • ✅ Fixes issues arrow/pendulum don't
  • ⚖️ Based on proven and familiar concepts
  • ⚡️ Unmatched performance
  • 💎 Thoroughly tested and documented
  • 📆 Support for date arithmetic
  • ⏱️ Nanosecond precision
  • 🗄️ SQLAlchemy support
  • 🪃 Pydantic support
  • 🦀 Rust!—or the pure-Python backend, if you prefer
  • 🧵 Free-threading support (beta)
  • 🚀 Supports per-interpreter GIL

Quickstart

>>> from whenever import (
...    # Explicit types for different use cases
...    Instant,
...    ZonedDateTime,
...    PlainDateTime,
... )

# Identify moments in time, without time zone/calendar complexity
>>> now = Instant.now()
Instant("2024-07-04 10:36:56Z")

# Simple, explicit conversions
>>> now.to_tz("Europe/Paris")
ZonedDateTime("2024-07-04 12:36:56+02:00[Europe/Paris]")

# A plain (local) datetime can't accidentally mix with exact types.
# You need to explicitly convert it and handle ambiguity.
>>> party_invite = PlainDateTime("2023-10-28 22:00")
>>> party_invite.add(hours=6)
  NaiveArithmeticWarning: Shifting a PlainDateTime by exact time units does not account for time zone transitions [...]
PlainDateTime("2023-10-29 04:00")
>>> party_starts = party_invite.assume_tz("Europe/Amsterdam")
ZonedDateTime("2023-10-28 22:00:00+02:00[Europe/Amsterdam]")

# DST-safe arithmetic
>>> party_starts.add(hours=6)
ZonedDateTime("2023-10-29 03:00:00+01:00[Europe/Amsterdam]")

# Comparison and equality
>>> now > party_starts
True

# Rounding and truncation
>>> now.round("minute", increment=15)
Instant("2024-07-04 10:30:00Z")

# Formatting & parsing common formats (ISO 8601, RFC 3339, RFC 2822)
>>> now.format_rfc2822()
"Thu, 04 Jul 2024 10:36:56 GMT"
# Custom pattern formatting and parsing
>>> party_starts.format("MMM DD, HH:mm zz")
"Oct 28, 22:00 CEST"

# If you must: you can convert to/from the standard lib
>>> now.to_stdlib()
datetime.datetime(2024, 7, 4, 10, 36, 56, tzinfo=datetime.timezone.utc)

Read more in the feature overview or API reference.

Limitations

  • Supports the proleptic Gregorian calendar between 1 and 9999 AD
  • Time zone offsets are limited to whole seconds (consistent with the IANA time zone database)

Stability policy

Whenever follows semantic versioning. Until the 1.0 version, the API may change with minor releases. Breaking changes will be meticulously explained in the changelog. Since the API is fully typed, your typechecker and/or IDE will help you adjust to any API changes.

License

Whenever is licensed under the MIT License. The binary wheels contain Rust dependencies which are licensed under similarly permissive licenses (MIT, Apache-2.0, and others). For more details, see the licenses included in the distribution.

Acknowledgements

Whenever draws from decades of datetime library design across multiple languages:

  • Noda Time and Joda Time pioneered the concept-per-type approach that makes whenever possible. Noda Time's type hierarchy directly inspired whenever's design.

  • Temporal (JavaScript proposal) provided inspiration for handling complex cases around DST ambiguity and rounding. After years of TC39 design work, Temporal's API is extraordinarily thorough. Whenever benefits from those hard-won insights.

  • Python's datetime module is used extensively in whenever's pure-Python backend for low-level date/time handling.

  • Whenever also borrows a few nifty ideas from Jiff: A modern datetime library in Rust which takes inspiration from Temporal.

  • The benchmark comparison graph is adapted from the Ruff project.

Release files for whenever 0.11.0b0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for whenever 0.11.0b0
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Built distributions (wheels)

Table of built distributions (wheels) for whenever 0.11.0b0
File
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0.11.0b0 This release

114 release files

0.9.3

86 release files

0.9.2

86 release files

0.9.1

86 release files

0.9.0

86 release files

0.8.9

86 release files

0.8.8

72 release files

0.8.7

71 release files

0.8.6

71 release files

0.8.4

71 release files

0.8.3

71 release files

0.8.2

71 release files

0.8.1

71 release files

0.7.3

71 release files

0.7.2

71 release files

0.7.1

71 release files

0.7.0

71 release files

0.6.9

71 release files

0.6.6

57 release files

0.6.5

57 release files

0.6.4

57 release files

0.6.3

57 release files

0.5.2

2 release files

0.5.1

2 release files

0.5.0

2 release files

0.4.0

2 release files

0.3.4

2 release files

0.3.3

2 release files

0.3.2

2 release files

0.3.1

2 release files

0.3.0

2 release files

0.2.1

2 release files

0.2.0

2 release files

0.1.0

2 release files

0.0.4

2 release files

0.0.3

68 release files

0.0.2

69 release files

0.0.1

2 release files

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