Access Google's best plus Claude, Llama, and Gemma. Fine-tune and deploy from one console.
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MongoDB Atlas runs apps anywhere
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Eshed - ESsential Hebrew EDitor.
Supports: bidrectional editing, niqud, multi buffers,
multi views of same text, load & store in various encodings.
Just Python, Using pygtk (Gtk & Pango inside).
DocLite is a simple documentation authoring system, it produces multi-page HTML output (like this document) in a style similar to that found in the Linux HOTWTOs or other DocBook created documents.
Tools for extracting and transforming XML-like mark-up, embedded in source code comments, into proper external entities or well-formed XML files. Can be used for JavaDoc-like "literate programming", or embedding other build-related or CM metadata.
SchemaDoc is a XML-based markup language for documenting XML schemas. The work products include both the vocabulary and a set of tools for combining it with the schema source (e.g. a DTD) to produce documentation in HTML, XML DocBook, LaTeX, etc.
reStructuredText defines & implement a markup syntax for use in Python docstrings and other documentation domains, that is readable & simple, yet powerful. Project inactive. Development taken over by Docutils, http://docutils.sourceforge.net/.
A modular system for extracting and converting Python docstrings into useful structured formats like HTML, XML, and TeX.
Project inactive. Development taken over by Docutils, http://docutils.sourceforge.net/.
Codemod is a tool/library to assist you with large-scale codebase refactors that can be partially automated but still require human oversight and occasional intervention.
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SrcComDoc allows documentation written in source comment rows to be extracted, formatted and highlighted according to the chosen documentation format. The basic SrcComDoc syntax is source and documentation language independent.
Unstructured text is no match for Litersta - see further details here: https://litersta.com
Working with text now becomes effortless when paired with Litersta textual analytics software.
Unlike database fields, which are easily queried, text contains unstructured data that must be parsed for key objects that can be transformed in to powerful metrics.