bytesagain ChartMaker
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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