Liquidity Monitor

Liquidity Monitor is a data processing and analysis toolkit for querying, importing, exporting, transforming, validating, and visualizing datasets from the terminal. It provides 10 core commands for working with structured data, plus built-in history logging for full traceability. All operations are local — no external APIs or network connections required.

Commands

Data Storage

All data is stored locally in ~/.local/share/liquidity-monitor/ (override with LIQUIDITY_MONITOR_DIR or XDG_DATA_HOME environment variables).

Directory structure:

~/.local/share/liquidity-monitor/
├── data.log         # Main data store (line-based records)
└── history.log      # Unified activity log with timestamps

Every command logs its action to history.log with a timestamp (MM-DD HH:MM) for full traceability. The main data file data.log holds all imported and queried records.

Requirements

• Bash (with set -euo pipefail)
• Standard Unix utilities: date, wc, head, du, echo
• No external dependencies, databases, or API keys required
• Optional: Set LIQUIDITY_MONITOR_DIR to customize the data directory location

When to Use

1. Importing and querying datasets — Pull in CSV, log, or structured data files and run quick queries against them from the terminal without spinning up a database.
2. Data validation workflows — Validate incoming data against the built-in schema before processing to catch format issues early.
3. Data transformation pipelines — Transform data between formats or structures as part of an ETL-like workflow, all within bash.
4. Quick dashboard views — Get instant record counts and summary metrics via dashboard or stats without writing custom scripts.
5. Data cleanup and deduplication — Use clean to remove duplicate records and normalize the data store before exporting or further analysis.

Examples

# Import a data file
liquidity-monitor import sales_data.csv

# Query the data store
liquidity-monitor query "region=APAC"

# View schema
liquidity-monitor schema

# Preview first 5 records
liquidity-monitor sample

# Get basic statistics
liquidity-monitor stats

# Transform data
liquidity-monitor transform raw.csv cleaned.csv

# Validate data integrity
liquidity-monitor validate

# Quick dashboard
liquidity-monitor dashboard

# Export results
liquidity-monitor export results.json

# Clean and deduplicate
liquidity-monitor clean

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