petrobras / BibMon
Python package that provides predictive models for fault detection, soft sensing, and process condition monitoring.
Why this job: topics: neural-networks, scikit-learn, machine-learning
What it does
BibMon (from the Portuguese *Biblioteca de Monitoramento de Processos*, or Process Monitoring Library) is a Python package that provides deviation-based predictive models for fault detection, soft sensing, and process condition monitoring.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 5 months ago
- Stars
- 108
- +1 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v1.2.0
- Released 22 months ago
- Built with
- Python
- 70% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 17% closed
- 10 still open
- Pull requests
- 50 merged
- 12 waiting
- Releases
- 10
- 0 in the last year
- Contributing guide (opens in new tab)
- No security policy
- Code of conduct (opens in new tab)
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More: languages, topics and project record
Languages
- Python 70%
- Fortran 30%
Topics
- echo-state-network
- fault-detection
- fault-diagnosis
- machine-learning
- neural-networks
- pca
- process-monitoring
- process-systems-engineering
- scikit-learn
- soft-sensor
- time-series
Project record
- JobAI libraries and models
- StatusListed
- Commits141
- Forks50
- Watching6
- Stars in 28 days+2
- CreatedMay 23, 2024
- First seen by usNov 7, 2026
- CheckedNov 8, 2026