#yaml
7
2026-09-03
Show HN: BlazeRules – YAML rule engine for streaming data, 3M records/SEC
未评级
https://blazerules.dev I initially wanted to make a sub-millisecond log parser in C++ but that blew into a embeddable decision engine, that can run YAML defined rules on incoming data. The rules are executed in a vectorized format on incoming data by reprojecting into a columnar format first, if it's not already. Depending on the payload size and rules complexity, the performance goes from 200K records/s to more than million records/sec, in terms of througput this would be around 200 MiB/s to 3 GiB/s on average. Rules can be sql expressions too, or onnx models (numeric), window ops and quite a few more operations are supported. It's comparable to DuckDB but for streaming data and on the fly decisions.
2026-08-29
dasel
未评级
Query and update data structures using selectors from the command line. Comparable to jq / yq but supports JSON, YAML, TOML and XML with zero runtime dependencies.