tempora
Decision gist · record as of 2026-08-14
Yes. Tempora is actively maintained, has no known vulnerabilities, carries a permissive license, and installs with low friction. It is well-suited for projects that need date/time utilities, scheduling, or timing measurement. The only caveat is verifying that its event scheduler meets your specific performance or feature requirements before committing to it in production code.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later.
- Low install friction with a pure-Python wheel distribution.
- Actively maintained with a recent release (31 days ago) and a commit history through 2026-07-14.
License · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive), which allows commercial and private use with minimal restrictions—suitable for most projects.
last release 2026-07-14 (31 days) · last repo commit 2026-07-14 · 23 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,084,707 downloads/mo, #4,388 on PyPI
Alternatives
Verify before relying
pip install tempora
import tempora
from tempora import schedule
# Create a scheduler and add an event
scheduler = schedule.CallbackScheduler()
scheduler.at(target_time, callback_function)- Whether the event scheduler is suitable for production use or primarily for simple use cases.
- Performance characteristics when handling large numbers of scheduled events.
- Whether UTC routines handle all edge cases (leap seconds, timezone transitions) correctly.
What it is and what it does
Tempora is a date and time utility library for Python that bundles commonly needed routines into a single package. It provides miscellaneous utilities and constants at the top level, a timing module for measuring and profiling code execution, a schedule module for event scheduling, and a utc module for working with UTC-aware datetime objects. The package is built on top of python-dateutil and several jaraco utility libraries, offering a convenient interface for tasks that would otherwise require multiple imports or custom implementations.
The library targets developers who need reliable datetime handling without building their own abstractions. It is actively maintained, has been in development since 2015, and supports current Python versions (3.10+). With no known vulnerabilities and a permissive Apache-2.0 license, it is a straightforward addition to projects that require scheduling, timing, or UTC datetime operations.
Use it for
- Schedule callbacks or events to run at specific times using the schedule module.
- Measure code execution time and profile performance with the timing utilities.
- Work with UTC-aware datetime objects without manual timezone handling.
- Access common date and time constants and utilities without writing custom helpers.
- Build applications that need reliable event scheduling alongside standard datetime operations.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
Tempora is actively maintained, has no known vulnerabilities, carries a permissive license, and installs with low friction. It is well-suited for projects that need date/time utilities, scheduling, or timing measurement. The only caveat is verifying that its event scheduler meets your specific performance or feature requirements before committing to it in production code.
Install
tempora on PyPI
Before you install
Low install friction with a pure-Python wheel distribution. Actively maintained with a recent release (31 days ago) and a commit history through 2026-07-14. Depends on five well-established packages (python-dateutil, jaraco.* utilities, typing_extensions), all of which are common and lightweight.
Requires Python 3.10 or later.
License in practice
Licensed under Apache-2.0 (permissive), which allows commercial and private use with minimal restrictions—suitable for most projects.
Quickstart
pip install tempora
import tempora
from tempora import schedule
# Create a scheduler and add an event
scheduler = schedule.CallbackScheduler()
scheduler.at(target_time, callback_function)Verify before relying
- Whether the event scheduler is suitable for production use or primarily for simple use cases.
- Performance characteristics when handling large numbers of scheduled events.
- Whether UTC routines handle all edge cases (leap seconds, timezone transitions) correctly.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 5 packagespython-dateutiljaraco.collectionsjaraco.contextjaraco.functoolstyping_extensions |
| Maintenance | Actively maintained 31 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 1,084,707 / month, #4,388 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: Only |
Evidence: tempora-5.12.0-py3-none-any.whl
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See also scheduler · ipython-autotime · businesstimedelta · schedule · times · cron-validator · fastf1 · SQLAlchemy-Utc · cron-converter · rq-scheduler