JSON Parsing for Large Payloads: Balancing Speed, Memory, and Scalability

Different Python libraries are evaluated for parsing large JSON payloads to balance speed, memory, and scalability. The standard `json` library can cause memory errors with large files, making iterative parsers like `ijson` a better choice for memory efficiency. While `ujson` was a faster C-based alternative, it is now in maintenance mode, and `orjson` is presented as a superior modern option due to its speed, memory safety, and support for additional data types like dataclasses. The discussion also extends to handling NDJSON formats, providing code examples for various parsing approaches.