bitly/data_hacks

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

1976 stars · 188 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A collection of small Python command-line utilities for quick data analysis over piped streams, including text histograms, 95th percentile calculation, random sampling, time-window filtering, and ASCII bar charts. It is designed to plug into Unix pipelines like awk, tail, and cat.

Use cases

• generate a text histogram from a stream of numbers
• compute the 95th percentile response time from access logs
• randomly sample a percentage of lines from a log file
• pass through a stream for a fixed duration like 10 seconds
• visualize counts of unique values as an ascii bar chart
• quick summary statistics like mean, median, and standard deviation from the command line

When to choose

• you want quick command-line statistics on piped numeric data without writing scripts
• you live in Unix pipelines and need lightweight log analysis tools
• you need ascii visualizations of data distributions in a terminal

When to avoid

• you need interactive plotting or rich charting libraries
• you need a maintained tool with active development and a license
• you need to process large datasets with performance beyond simple streaming

Facets

cli-tool · maturity maintenance

data-science analytics cli data-visualization data-science analytics developer-tools cli python cross-platform ascii-histogram percentiles stream-processing unix-pipes log-analysis command-line

Member repositories

For agents

markdown · JSON · MCP: product_card(name="bitly/data_hacks")