Search Results for "datetime"

orjson is a fast, correct JSON library for Python. It benchmarks as the fastest Python library for JSON and is more correct than the standard json library or other third-party libraries. It serializes dataclass, datetime, numpy, and UUID instances natively. orjson supports CPython 3.8, 3.9, 3.10, 3.11, and 3.12. It distributes amd64/x86_64, aarch64/armv8, arm7, POWER/ppc64le, and s390x wheels for Linux, amd64 and aarch64 wheels for macOS, and amd64 and i686/x86 wheels for Windows. orjson does not support PyPy. Releases follow semantic versioning and serializing a new object type without an opt-in flag is considered a breaking change.

...It provides encoding and decoding capabilities so JavaScript environments like Node.js and browsers can serialize rich data structures (including types not native to JSON) into the compact, efficient BSON binary representation used by MongoDB drivers and servers. Value types such as ObjectId, Binary, UTC datetime, Decimal128, and Long are provided as first-class objects, enabling precise representation of data that would otherwise be lossy or awkward in plain JSON. js-bson is designed for performance, with optimized algorithms for reading and writing binary data, minimizing overhead in database operations. Because it’s a foundational building block for MongoDB drivers in JavaScript, the library ensures consistency and compatibility between client applications and the MongoDB server.

Joda-Time provides a library of classes to replace the Java JDK Date and Time classes including formatting. It is based around the ISO8601 datetime standard, but also provides full support for other calendar systems, such as Gregorian and Buddhist. Project moved to GitHub: https://github.com/JodaOrg/joda-time

Datamixer generates mock data values for various datatypes, including integer, floating precision, datetime, and string. It can generate complex sequences, based on functions and permutations of the basic data series.