ITEA Call 2026 is now open! | Project Outline dealine: 2 November, 17:00 CET
OneLadle: a universal method for log anomaly detection
- Project
- 23004 ELFMo
- Type
- New library
- Description
OneLadle is a universal method for log anomaly detection.
- Contact
- Jukka K. Nurminen
- jukka.k.nurminen@helsinki.fi
- Research area(s)
- Quality assurance
- Technical features
OneLadle is both fast and extremely accurate, making it ideally suited for online or offline anomaly detection within a single log type or across log types. To get started, see the example notebook: https://github.com/juhamyllari/oneladle
- Integration constraints
The current implementation is written in Python.
- Conditions for reuse
Open source software.
- Confidentiality
- Public
- Publication date
- 14-10-2026
- Involved partners
- University of Helsinki (FIN)