![Raksha S.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Raksha S.") RS Raksha S. Business Operations Analyst Small-Business (50 or fewer emp.) 1/23/2023 "A Probabilistic Programming Library" 5/5 What do you like best about Figaro? By using Figaro, I found some excellent benefits like: Figaro allows for the flexible modeling of complex systems, making it a powerful tool for many probabilistic modeling tasks. Figaro is written in Scala, which is a highly scalable programming language. This makes it well-suited for large-scale probabilistic modeling projects. It is open-source software, which means it is free to use and can be modified and distributed by anyone. It can be used as a standalone library or integrated with other Scala libraries and tools, making it a versatile tool for probabilistic modeling. It has an active community of developers and users who contribute to the development and use of the library. This can provide support and resources for users who are new to the library. It has been designed to be efficient and fast in performing probabilistic inference, and it is optimized for large-scale models. Review collected by and hosted on G2.com. What do you dislike about Figaro? While using Figaro, I came across few disadvantages which I would like to list down here: Figaro is a powerful tool, but it can be complex, especially for users new to probabilistic programming. Figaro's performance is slower than other probabilistic programming languages, such as Church. It is not yet optimized for large-scale probabilistic models or high-dimensional data. It also has a smaller community compared to other probabilistic programming languages such as PyMC3 or Stan. However, it is worth noting that these are just potential disadvantages of Figaro, and whether or not they apply to a specific use case depends on the particular requirements of the project at hand. Review collected by and hosted on G2.com. What problems is Figaro solving and how is that benefiting you? Some of the problems that Figaro is solving like Modeling complexity, Uncertainty modeling and Inference. The benefits of using Figaro are: Figaro allows us to express complex models more intuitively, making it easier to reason about the underlying probabilistic relationships. Figaro's explicit probabilistic modeling allows for more accurate and robust predictions and decisions based on uncertain data. Figaro's inference engine can automatically perform probabilistic inference on the models, saving our time and effort. Figaro allows me to express models modularly, making it easy to reuse and extend existing models. Review collected by and hosted on G2.com. Show More Validated ReviewerIncentivizedSource: G2 invite See what 11 reviewers think of Figaro 4.3 out of 5 ยท Verified reviews from real users [ Read all reviews ](https://www.g2.com/products/figaro/reviews)