AnomaLog¶
Reproducible log anomaly detection pipelines, from raw logs to deterministic, template-mapped sequences
-
Raw logs to model-ready data Go from ingestion and parsing to template-mapped, sequence-ready artifacts in one reproducible pipeline.
-
Deterministic by design Fingerprinted stages, caching, and stable artifact lineage make runs repeatable and easier to compare.
-
Modular pipeline stages Swap parsers, template miners, and sequence builders without rewriting downstream workflows.
-
Explicit sequence construction Build entity-based, fixed-length, or time-windowed sequences with clear split and leakage controls.
-
Benchmark and custom datasets Use built-in dataset workflows or bring your own data through a consistent schema and labelling model.
-
Reusable intermediate artifacts Persist structured events as reusable artifacts, with Parquet as the default backend and pluggable storage abstractions.