marquitos.lens

Hoy voy a hacer un hilo con 10 pasos para aprender desarrollo web desde 0, gratis. No son cortos y cada paso puede tomar el tiempo que necesites y podés adaptarlo como necesites para que te sirva. Si bien está pensado para que sean en orden, terminá el hilo por que hay tips 🧵

Introducing chartli 📊 CLI that turns plain numbers into terminal charts. ascii, spark, bars, columns, heatmap, unicode, braille, svg. $ 𝚗𝚙𝚡 𝚌𝚑𝚊𝚛𝚝𝚕𝚒 I wanted terminal charts with zero setup. No browser, no Python env, no matplotlib. Pipe numbers in, get a chart out. Again built using Command Code with my CLI taste. $ npx chartli data.txt -t ascii -w 24 -h 8 8 chart types spanning a fun range of Unicode density: - ascii (line charts with ○◇◆● markers) - spark (▁▂▃▄▅▆▇█ sparklines, one row per series) - bars (horizontal, ░▒▓█ shading per series) - columns (vertical grouped bars) - heatmap (2D grid, ░▒▓█ intensity mapping) - unicode (grouped bars with ▁▂▃▄▅▆▇█ sub-cell resolution) - braille (⠁⠂⠃ 2×4 dot matrix, highest density) - svg (vector output, circles or polylines) Input format is dead simple: rows of space-separated numbers. Multiple columns = multiple series. 0.0 0.1 0.1 0.1 0.2 0.4 0.2 0.4 0.3 0.2 0.4 0.2 Composes with pipes: $ cat metrics.txt | chartli -t spark S1 ▁▂▃▄▅▆ S2 ▁▄▂▇▅█ S3 ▁▂▄▃▆▅ S4 ▁▄▂▇▂▇ The braille renderer is my fav. Each braille character encodes a 2×4 dot grid, so a 16-wide chart gives you 32 pixels of horizontal resolution. Free anti-aliasing from Unicode. The bars renderer uses 4 shading levels (░▒▓█) to visually separate series without color. Works on any terminal, any font. Heatmap maps values to a 5-step intensity scale across a row×column grid, so you can spot patterns in tabular data at a glance. SVG mode has 2 render paths: circles (scatter plot) and lines (polylines). Output is valid XML you can pipe straight to a file or into another tool. Zero config by default, every dimension overridable (-w width, -h height, -m SVG mode). No config files. No themes. No dashboards. $ 𝚗𝚙𝚡 𝚌𝚑𝚊𝚛𝚝𝚕𝚒 Or global install it. $ npm i -g chartli # Skill for your agents $ npx skills add ahmadawais/chartli If you work in terminals and want quick data visualization without leaving your workflow, try it. ⌘ let's go!!

Web3 Database Trilemma: being Owned, Tamper-proof and Queryable That's why [ ARKIV ] exists Ethereum-aligned and powered by $GLM Want to try it yourself? Check out this walk-through below 👇