Complexity-based anomaly detection for time series (Rust)
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🎯 System Health Intelligence

Know Your Systems Before They Fail

Orchestrate data sources, detect anomalies, predict failures — for IoT sensors, IT infrastructure, or industrial equipment.

Open Source (AGPL)

Rust + Python

Production Ready

✨ One score to watch

From chaos to clarity

One platform to orchestrate, monitor, and predict

100+

Data sources

per gateway instance

70%

Earlier detection

vs static thresholds

1

Health score

to monitor everything

5 min

To first insights

automatic baseline

How ALEC works

From scattered data to predictive intelligence

📥

01

Collect

Gateway ingests data from sensors, metrics, logs, or any time-series source.

🔗

02

Correlate

Real-time Pearson correlation discovers hidden relationships between sources.

🔍

03

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