JavaScript Performance Benchmarking
jsPerf has owned JavaScript benchmarking for 15 years — this is a cleaner clone without differentiation.

SJF4J beats Jayway by 7x on native objects, but JSONPath is a crowded category.
Java developers optimizing JSON processing
Jayway JsonPath · JMH · Jackson
Libraries: - SJF4J - Jayway JsonPath
Workloads: - query on JsonNode - query on Map/List object graphs
Main result: - ~2x faster on typical queries - up to 7x faster on Map/List
One interesting takeaway is that performance differs a lot depending on whether you run on JsonNode vs native object graphs.
Full write-up: https://dev.to/hannyu/sjf4j-vs-jayway-jsonpath-up-to-7x-fast...
jsPerf has owned JavaScript benchmarking for 15 years — this is a cleaner clone without differentiation.
Comprehensive version parsing, but Apache Commons and language-specific parsers already exist.
The site weaponizes a compact set of benchmarks — throughput, RAM, cold-start, F1 score and install footprint — and even publishes raw JSON on GitHub, which makes it immediately useful for teams comparing ingestion options. Kreuzberg's Rust implementation posts jaw-dropping numbers against common tools; that's interesting, but the page leaves out crucial reproducibility details (datasets, seed runs, environment configs) you'd want before trusting the magnitude of those gaps.
Compresses long-memory evaluation into three questions testing recall, updates, and abstention.
Benchmarks OpenCode models locally, but lacks preloaded datasets and only works with configured OpenAI-compatible APIs.
Live chaos testing for HTTP clients when you need to pick between axios and fetch.