The modeling of data using block models
Performance bounds are given for exploratory co-clustering/ blockmodeling of bipartite graph data, where we assume the rows and columns of the data matrix are samples from an arbitrary population.
Format and beautify Java, Python, JavaScript, JSON, HTML and more; adjust indentation, spacing and line breaks.
Trim, join or split recordings, remove silence or noise, and adjust volume, speed, pitch or channels.
Open and edit CSV or Excel sheets, format tabular text, and convert CSV to Excel or SQL.
Write and preview Markdown, render Mermaid diagrams, and convert Markdown, HTML and tables between formats.
Compare passages, count words and keywords, sort or replace lines, and view DOCX text.
Look up Chinese meanings, synonyms and antonyms, or find IPA pronunciations in multiple languages.
Convert between MP3, WAV, FLAC and more, play audio or raw PCM, and inspect or edit audio metadata.
Inspect, compare and validate JSON; test JSONPath expressions, or convert data to CSV, YAML and XML.
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Play local or streaming video, record your screen or camera, and use your camera as an online mirror.
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Edit SRT or VTT captions with a video preview, shift timing, convert formats, and manage subtitle tracks.
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Encode and decode Base64 or Base32, escape URLs, HTML and Unicode text, and inspect JWT contents.
Convert number bases and values between binary, decimal and hex; turn numbers into words or text into binary.
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