Working with logs should feel like debugging, not archaeology.
Most of us still scroll, grep, and mentally replay a system’s history from a flat text file where the only real structure is the timestamp and the fact that lines arrive in order.
Acacia Log is a Visual Studio Code extension that leans into that simple idea: logs are time-ordered records with timestamps, so let’s treat them as a queryable time series instead of a wall of text.
Version 4.0.0 is out now, and it turns that idea into a full workflow for navigating, visualizing, and comparing massive log files without leaving VS Code.
What is Acacia Log?
Acacia Log is an advanced log file analyzer and visualizer for VS Code.
It helps you navigate huge .log, .txt, .jsonl, and .ndjson files by timestamp, detect time gaps, visualize activity timelines, search with regex patterns, analyze similar lines, and compare multiple files – all inside the editor.
Key capabilities:
- Jump directly to any timestamp using binary search on the log’s time index.
- Visualize activity as interactive bar, area, or line charts with zoom and pan.
- Find the most frequent messages via structural “similar line” grouping.
- Search multiple regex patterns in parallel and see counts + charts.
- Compare throughput and latency across 2–20 log files.
- Convert between JSONL/NDJSON and plain-text logs with guided wizards.
- Supports 20+ timestamp formats with automatic detection (ISO, Apache, Syslog, Log4j, Windows Event Log, UNIX timestamps, and more).
If your logs have timestamps and grow over time, Acacia Log treats them like a time-series you can explore.
If you end up using Acacia Log 4.0.0 in your own debugging, DevOps, or performance workflows, I would love feedback to keep improving the time-based analysis features.
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