{"repo":"deeplook/sparklines","free":true,"listed":false,"github":"https://github.com/deeplook/sparklines","clone":"git clone https://github.com/deeplook/sparklines.git","description":"Text-based sparklines for the command line mimicking those of Edward Tufte.","language":"Python","stars":130,"topics":["python","command-line-tool","graphs","ascii","sparklines","sparkline-graphs"],"license":"MIT","category":"cli-tools","readme_excerpt":"Sparklines Sparklines brings Edward Tufte's [sparklines] to your terminal — compact Unicode bar charts like ▃▁▄▁▅█▂▅, right in your shell or Python code. Originally built for sanity-checking sensor data in IoT networks, it works anywhere you need a quick visual summary of a sequence of numbers. Example usecase for such \"sparklines\" on the command-line, showing IoT sensor values (generating code not included here). Positive values work best, but negatives are fully supported: mixed data auto-splits into two rows, all-negative data renders as downward bars (see [Mixed and negative datasets] below). True line-style sparklines would require a dedicated font — out of scope here. We use \"▁▂▃▄▅▆▇█\" for values and a blank for missing ones. Use cases Finance — stock price history, daily P&L (bipolar: gains above, losses below), trading volume spikes, bid-ask spread over a session. IoT — temperature and humidity sensors, power consumption per circuit, air quality index, battery charge on remote devices. DevOps & SRE — request rate and error rate per minute, CI build duration trend, queue depth, replica lag. Data Science & ML — training loss and validation accuracy per epoch, gradient norms, data drift score, inference latency after a deployment. Agentic computing — token usage and cost per API call, context window fill level, cache hit rate, tool-call frequency per agent loop iteration. Health & Fitness — heart rate during exercise, sleep quality over weeks, blood glucose across a day,","default_branch":null,"files":null,"tree":[],"storefront":"/r/deeplook","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/deeplook/sparklines/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}