How to install lowcharts on Ubuntu?

Download the .deb package from the releases page and use 'dpkg -i', or compile from source with Cargo. For Arch Linux, AUR packages are available.

Can lowcharts handle real-time data streams?

Yes, it works with stdin via pipes, so you can use commands like 'tail -f' for streaming analysis. However, it processes data in chunks and lacks true real-time updating features.

lowcharts vs gnuplot for terminal graphs?

lowcharts is simpler and faster for ad-hoc log analysis with no dependencies, while gnuplot offers more plot types and output formats but requires more setup and external libraries.

How to customize colors in lowcharts output?

Colors can be disabled programmatically in Rust code with 'Paint::disable()', but CLI options for color customization are limited; it relies on default terminal colors.

Is lowcharts good for analyzing Kubernetes logs?

It can process log files or streams from kubectl, but lacks direct Kubernetes integration; better for one-off troubleshooting than continuous monitoring with tools like Fluentd.

What are the limitations with timestamp formats?

Autodetection works for common formats, but custom formats must exclude timezone parts manually, which can be error-prone. Inconsistent timestamps in logs may also cause issues.

lowcharts

MITRustv0.5.9

A Rust tool for drawing low-resolution graphs directly in the terminal for quick data analysis from logs and text files.

GitHub

What is lowcharts?

lowcharts is a Rust-based command-line tool that draws low-resolution graphs in the terminal. It is designed for quick data analysis from numerical data in text files, such as service logs, when advanced monitoring tools like Kibana, Prometheus, or Grafana are not accessible. The tool provides various chart types, including histograms, bar charts, and time-based visualizations, to help users troubleshoot and understand data directly from a shell environment.

Target Audience

System administrators, DevOps engineers, and developers who need to perform rapid log analysis or data visualization in terminal environments, especially in constrained or emergency troubleshooting scenarios.

Value Proposition

Developers choose lowcharts for its speed, simplicity, and lack of dependencies—it compiles to a single binary that is easy to distribute and run. It fills a niche for quick, ad-hoc graphing where setting up full monitoring stacks is overkill or impossible, offering faster performance compared to some interpreted alternatives like data-hacks.

Overview

Tool to draw low-resolution graphs in terminal

Use Cases

Best For

Analyzing webserver, database, or proxy log files for request times or error frequencies

Related Projects

Community-curated · Updated weekly · 100% open source

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251 stars5 forks0 contributors

Troubleshooting services with only shell access and no dedicated monitoring tools

Visualizing numerical data distributions from command output or text files

Identifying common patterns or terms in syscall traces (e.g., from strace)

Quickly checking metric evolution over sequential data chunks

Aggregating and counting pattern matches in logs where grep -c is insufficient

Not Ideal For

Projects requiring high-resolution, interactive, or exportable graphical charts for reports
Long-term monitoring setups that need persistent dashboards, alerts, or integration with tools like Prometheus
Data analysis tasks dependent on precise time-grouping across all plot types, such as detailed time-series evolution
Environments where polished visualizations or support for complex, non-standard timestamp formats is critical

Pros & Cons

Pros

Blazing Fast Performance

Compiled in Rust, lowcharts processes large log files quickly; the README highlights it outperforms interpreted alternatives like data-hacks for speed-critical tasks.

Zero Dependencies

Distributed as a single binary, it's easy to copy and run in constrained environments without installing additional libraries or packages.

Smart Timestamp Detection

Auto-detects common timestamp formats from logs (e.g., nginx, strace), reducing configuration effort for rapid analysis in troubleshooting scenarios.

Versatile Plot Types

Supports six chart types including histograms, bar charts, and time-based visualizations, with configurable options like regex matching and logarithmic scales.

Cons

Incomplete Time Support

The README admits X-Y plots lack time-grouping, limiting analysis of evolving metrics over time and restricting use for detailed temporal data.

Cumbersome Custom Formats

Manual timestamp format specification must exclude timezone parts, which is non-standard and can lead to errors or extra work for non-standard logs.

Terminal-Only Output

Charts are rendered in ASCII/Unicode characters with no option to export to images or other formats, reducing usefulness for presentations or reports.

Heuristic Reliance Risks

Autodetection depends on the first log line and assumes consistent formats; inconsistencies can cause parsing failures without clear error messages.

Frequently Asked Questions

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