{"categories":[{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/7"}],"enrichment":{"capability":"Hightime provides drop-in replacements for Python's datetime and timedelta types that support precision down to yoctoseconds, enabling sub-microsecond time arithmetic and representation.","skillfed_tags":["precision-timing","scientific-computing"],"use_cases":["Scientific instrumentation and measurement systems requiring sub-microsecond timestamp precision","High-frequency trading or financial systems tracking events at femtosecond or nanosecond scales","Physics simulations or quantum computing frameworks needing extreme temporal precision","Precision timing analysis in embedded systems or real-time control applications","Research data logging where microsecond granularity causes unacceptable information loss"],"what_it_does":"Hightime extends Python's time-handling capabilities by replacing the standard datetime and timedelta types with versions that preserve precision down to yoctoseconds. This allows developers working in scientific, engineering, or precision-timing domains to perform arithmetic and store timestamps without losing sub-microsecond information. The package maintains the familiar API of the standard library\u2014constructors, operators, and string representations work as expected\u2014but internally tracks time at much finer granularity.\n\nThe package is designed for scenarios where microsecond precision is insufficient: femtosecond-scale measurements, nanosecond-precision instrumentation, or any domain requiring sub-microsecond temporal resolution. It supports all standard datetime operations (addition, subtraction, comparison) and integrates cleanly into existing Python code that imports from hightime instead of the standard library.","worth_installing":"Yes, if your domain requires sub-microsecond time precision. The package is actively maintained, has no dependencies, installs cleanly, carries a permissive license, and provides a familiar API. Install only if you actually need precision beyond microseconds; standard datetime is simpler and faster for typical applications."},"id":"hightime","links":{"html":"https://skillfed.io/packages/hightime","md":"https://skillfed.io/packages/hightime.md","pypi":"https://pypi.org/project/hightime/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2025-10-02","license_spdx":null,"license_treatment":"permissive","name":"hightime","python_support":"supports_current","summary":"Hightime Python API"},"popularity":{"monthly_downloads":135224,"position":11447,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.0.0"}