{"categories":[{"label":"Software Development","url":"https://skillfed.io/packages/category/software-development/6"}],"enrichment":{"capability":"Provides utilities, constants, and routines for working with dates, times, and scheduling in Python, including timing measurement, event scheduling, and UTC-aware datetime handling.","skillfed_tags":["datetime","scheduling","timing"],"use_cases":["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."],"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.\n\nThe 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.","worth_installing":"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."},"id":"tempora","links":{"html":"https://skillfed.io/packages/tempora","md":"https://skillfed.io/packages/tempora.md","pypi":"https://pypi.org/project/tempora/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-14","license_spdx":"Apache-2.0","license_treatment":"permissive","name":"tempora","python_support":"supports_current","summary":null},"popularity":{"monthly_downloads":1084707,"position":4388,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"5.12.0"}