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Stan vs Metacode: What are the differences?
Developers describe Stan as "A Probabilistic Programming Language". A state-of-the-art platform for statistical modeling and high-performance statistical computation. Used for statistical modeling, data analysis, and prediction in the social, biological, and physical sciences, engineering, and business. On the other hand, Metacode is detailed as "The fastest way to navigate and understand code". It is an advanced code filtering tool. Filter your codebase with automatically detected keywords. Avoid clicking through files to inspect each match. Results show their surrounding code, all on one page.
Stan belongs to "Machine Learning Tools" category of the tech stack, while Metacode can be primarily classified under "Code Search".
Stan is an open source tool with 1.63K GitHub stars and 283 GitHub forks. Here's a link to Stan's open source repository on GitHub.