Search Results for "frequency"

...The library is designed to help developers simulate authentic browser traffic patterns, which is particularly useful in web scraping, testing, and automation scenarios. Unlike simpler random user agent generators, it uses frequency-weighted datasets to ensure that generated values reflect how browsers are actually used in the wild. The dataset is updated automatically on a daily basis, ensuring that generated user agents remain current and relevant over time. In addition to user agent strings, the library can produce detailed browser fingerprint data such as screen size, platform, connection type, and device category. ...

...GitHub repository: https://github.com/Northstrix/onda-sfasata Check it out at: https://onda-sfasata.netlify.app/ This app is fully localized into English, Hebrew, and two dialects of German — Hochdeutsch and a mixture of Zurich and Basel dialects (approximately 64%–36%), labeled as “Schwiizerdütsch” I picked the words for this app not based on predefined categories, usage frequency, or the fluency level to which the word might correspond, but on which words could be cleanly cut from the audio tracks. As a result, the word set turned out to be a bit odd, yet unique. Every single sound used in the app, except for success.wav, error.wav, and completed.wav, was extracted from public domain recordings. The success and error sounds are covered by Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/), the completed sound is available under Creative Commons 0 License (http://creativecommons.org/publicdomain/zero/1.0/)

...Key features: import .txt/.docx/.pdf plus audio/video for transcription; hierarchical coding with merge/move and percent-coded tracking; cases, attributes, and a classification sheet; memos linked to sources, cases, or nodes; text search, word frequency, coding, matrix coding, and coding-comparison queries; word cloud, hierarchy treemap, and similarity-cluster visualizations; coding reports and project summaries; and optional, opt-in AI-assisted summaries/code suggestions. Local-first: project data lives in a local SQLite database — nothing leaves your machine unless you enable the AI provider. ...

tribeca is a very low latency cryptocurrency market making trading bot with a full-featured web client, backtester, and supports direct connectivity to several cryptocoin exchanges. On modern hardware, it can react to market data by placing and canceling orders in under a millisecond. Runs on the latest node.js (v7.8 or greater). Persistence is achieved using MongoDB. Installation is recommended via Docker, but manual installation is also supported. Change the environment variables of the...