# Request for code review: stan2tfp python wrapper

**URL:** <https://discourse.mc-stan.org/t/request-for-code-review-stan2tfp-python-wrapper/12771>\
**Category:** Developers\
**Created:** [January 23, 2020, 6:55am UTC](https://discourse.mc-stan.org/t/request-for-code-review-stan2tfp-python-wrapper/12771 "2020-01-23T06:55:26Z")\
**Posts on this page:** 1\
**Showing post:** 2

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**Author:** ![bbbales2](https://yyz2.discourse-cdn.com/flex030/user_avatar/discourse.mc-stan.org/bbbales2/32/77_2.png) [@bbbales2](https://discourse.mc-stan.org/u/bbbales2)\
**Post date:** [January 23, 2020, 2:08pm UTC](https://discourse.mc-stan.org/t/request-for-code-review-stan2tfp-python-wrapper/12771/2 "2020-01-23T14:08:20Z")

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This looks like a posteriordb sorta thing: [Beta-release Bayesian Posterior Database](https://discourse.mc-stan.org/t/beta-release-bayesian-posterior-database/12141)

Maybe you can hook in there and get models to test for correctness.

The advantage of this over default Stan would be taking advantage of Tensorflow’s scalability, right? So big data stuff?

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