Chartmaker

Visualize data with bar charts, sparklines, and progress bars in terminal. Use when plotting metrics, rendering inline charts, or transforming data.

A data toolkit for chart-related data logging and export. Record, transform, query, and export data entries — all from the command line, all stored locally.

Commands

Command	What it does
chartmaker ingest <input>	Log a new ingest entry (no args = show recent entries)
chartmaker transform <input>	Log a transform entry
chartmaker query <input>	Log a query entry
chartmaker filter <input>	Log a filter entry
chartmaker aggregate <input>	Log an aggregate entry
chartmaker visualize <input>	Log a visualize entry
chartmaker export <input>	Log an export entry (see also export with format below)
chartmaker sample <input>	Log a sample entry
chartmaker schema <input>	Log a schema entry
chartmaker validate <input>	Log a validate entry
chartmaker pipeline <input>	Log a pipeline entry
chartmaker profile <input>	Log a profile entry
chartmaker stats	Show summary statistics across all log files
chartmaker export <fmt>	Export all data to json, csv, or txt format
chartmaker search <term>	Search all entries for a term (case-insensitive)
chartmaker recent	Show the 20 most recent activity log entries
chartmaker status	Health check — version, entry count, disk usage
chartmaker help	Show usage and available commands
chartmaker version	Print version string

Each logging command (ingest, transform, query, etc.) accepts free-form text. Called without arguments, it shows the 20 most recent entries for that category.

Data Storage

All data is stored locally in ~/.local/share/chartmaker/. Each command category writes to its own .log file, and all actions are recorded in history.log with timestamps.

Requirements

• Bash 4+

When to Use

• Logging chart and visualization data points from the command line
• Tracking data transformations and schema changes over time
• Exporting accumulated entries to JSON, CSV, or plain text for reports
• Searching across all logged entries to find specific visualization data
• Checking health and statistics of your local chart data store

Examples

# Log visualization data
chartmaker ingest "Monthly revenue: Jan=10k Feb=12k Mar=15k"

# Transform and record a data step
chartmaker transform "Normalized Q1 values to percentage scale"

# Search across all logs
chartmaker search "revenue"

# Export everything to CSV
chartmaker export csv

# View recent activity
chartmaker recent

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