project-anomalia/anomalia
🧬 Go library for Time Series Data Analysis
This is a Go library for developers to analyze time series data. It takes in structured time series data, often from CSVs, to help identify unusual patterns or detect relationships between different data sets. Developers working on applications that need to monitor metrics, sensor readings, or financial data for anomalies and correlations would use this library.
No commits in the last 6 months.
Use this if you are a Go developer building an application that needs to programmatically detect anomalies or find correlations within time series data.
Not ideal if you are a non-developer seeking a ready-to-use tool for visual analysis or ad-hoc time series exploration without writing code.
Stars
10
Forks
—
Language
Go
License
Apache-2.0
Category
Last pushed
Jul 08, 2019
Commits (30d)
0
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