[gpoore]

I suspect the speed issues are more a result of implementation details than of being in Python. Last year, I created a config language for my own use that supports some syntax very similar to YAML. My pure Python library can load simple dict/list/string data 10x as fast as PyYAML, and nearly within 1.5x the speed of libyaml (https://bespon.org/#benchmarks). That's while building an AST with source information to allow round-tripping and supporting my own version of anchors and tags, so there's significant room for improvement. I expect that a pure Python YAML library might be able to match or beat the current performance of libyaml in at least some cases, particularly for a restricted subset of YAML.

[jgalt212]

I did a few rudimentary benchmarking tests on in house real world data sets and strictyaml was approx 10X slower than PyYAML's yaml.load (w/ out calling out to libyaml) and yaml.safe_load.

I used the basic strictyaml.load function, without any schemas.

README page said speed is not a current priority, and that appears to be true.

https://github.com/crdoconnor/strictyaml#strictyaml