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Gen AI apps are built with MongoDB Atlas
The database for AI-powered applications.
MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
This is a SDK which can nest/layout the part/geometry/polygon on the material or sheet intelligently, you can get the best utilization of the materials, this SDK also support read/write DXF/DWG files and part-in-part nesting.
New nesting lagorithm is implenmented, more good to support true shape part or material.
http://www.filehelpers.net
The FileHelpers are an easy to use .NET library written in C#. Is designed to read/write data from flat files with fixed length or delimited records (CSV). Also has support to import/export data from different data storages (Excel, Access, SqlServer)
Code on GitHub: https://github.com/MarcosMeli/FileHelpers
MDQuery is a multi-dimensional aggregation class library written in VB.net originally, ported to C#.net with a lightweight query language for rapid prototyping.
Stay in Flow. Let Zenflow Handle the Heavy Lifting.
Your AI engineering control center. Zenflow turns specs into shipped features using parallel agents and multi-repo intelligence.
Zenflow is your engineering control center, turning specs into shipped features. Parallel agents handle coding, testing, and refactoring with real repo context. Multi-agent workflows remove bottlenecks and automate routine work so developers stay focused and in flow.
AMMORIA (ARAB) is an object oriented programming language uses Arabic words instead of English words, to make learning programming for Arab children easy and fast, it's planned to support Urdo and Farsi too, AMMORIA has its won IDE and Visual stuff.
SimMetrics is a Similarity Metric Library, e.g. from edit distance's (Levenshtein, Gotoh, Jaro etc) to other metrics, (e.g Soundex, Chapman). Work provided by UK Sheffield University funded by (AKT) an IRC sponsored by EPSRC, grant number GR/N15764/01.