Log tools give you a score and a bill.
LogLens reads the meaning of every line, tells you why it's anomalous, and collapses 200 identical errors into a single incident family - so you read the problem, not the noise.
It runs entirely on your machine. No agent, no ingestion pipeline, no per-gigabyte invoice.
Everything a senior engineer would check - automated.
Nine capabilities, one pip install. No infrastructure to run.
Four commands. Four answers.
Real commands, real output. Each player replays the exact flow - drop in a screen recording later.
The only one that publishes its accuracy.
Feature-for-feature against the tools you already pay for.
| LogLens AI | Splunk | Datadog | Elastic ML | DeepLog |
|---|
The cost line is not a typo.
Enterprise log platforms bill by ingest volume. LogLens processes on your own hardware - so the marginal cost of another gigabyte is zero.
* Approximate list pricing per GB/year. Log-scaled for visibility.
Numbers you can run yourself.
500,000 lines. 206,847 labeled alerts. Every mode catches all of them, with a CI gate that fails the build if F1 drops.
Scales with you.
Start on one file. Scale to a fleet. Same detector, same $0/GB.
Seven steps from raw log to root cause.
Your first insight in seconds.
One command from your terminal, or three lines in your app. Nothing to configure.
Run anywhere with Docker
Official multi-arch image on Docker Hub - loglensai/loglens. Non-root, air-gap friendly, and $0/GB. Pull it and point it at a log.
Multi-arch (amd64 + arm64) · tags latest / 0.3 / deep · runs non-root · air-gap friendly.