spark.fish

Benchmarks in the README show spark.fish processes 2000 data points in under 30 milliseconds, over 100 times faster than the original spark.sh, making it ideal for large datasets.

Installs directly via Fisher, Fish's package manager, and works natively with Fish shell syntax and pipelines, enhancing command-line workflow efficiency.

Includes --min and --max flags to normalize data scaling, as demonstrated in quickstart examples, allowing users to adjust sparkline visualization for better clarity.

Works with various data sources like sequences, Git stats, and process metrics, enabling quick visual insights for terminal-based analytics, as shown in the 'Wicked Cool Usage' section.