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AnomaLog

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Reproducible log anomaly detection pipelines, from raw logs to deterministic, template-mapped sequences

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  • 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.