Search Results for "c++ debugging library" - Page 2
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Showing 30 open source projects for "c++ debugging library"
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Gen AI apps are built with MongoDB AtlasMongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
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Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
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Avian Freeware Suite (AFS) provides two things: Developers with libraries for Java Swing Widgets, XML handling, Fortran95 and Pascal; End users (Medical students, doctors, scientists) with productivity tools they can use (quizzes, XML databasing & PDF)
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Sciense Searcher is a system that lets you search, organize and share bibliographic cites of research articles, books, booklets, collections, manuals, thesis, proceedings, technical reports, unpublished publications and misc.
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The GnuBook project provides eBook tools for making digital books available under Open Content Alliance principles.
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cosmos
Algorithms that run our universe | Your personal library of every algo
Cosmos (by OpenGenus Foundation) is your personal offline collection of every algorithm and data structure one will ever encounter and use in a lifetime. This provides solutions in various languages spanning C, C++, Java, JavaScript, Swift, Python, Go and others. This work is maintained by a community of hundreds of people and is a massive collaborative effort to bring the readily available coding knowledge offline. -
FusionAuth: Authentication and User Management SoftwareFusionAuth adds login, registration, SSO, MFA, and a bazillion other features to your app in days - not months.
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Data Mining Platform is a platform for data mining and analysis. It contains many of the new and sophisticated methods such as kernel-based classification, two-way clustering, bayesian networks, pattern recognition for time series analysis and many other
