## Comparison to other PP frameworks

*UNDER CONSTRUCTION*

Infer.NET | Stan | Edward | PyMC3 | Pyro | |
---|---|---|---|---|---|

Inference |
EP, VMP, Gibbs | NUTS, HMC, ADVI | |||

Language |
C#, F#, Csoft^{1} |
Stan (Mix of C++ and R) Interfaces with Python and others | Python | ||

License |
MIT | BSD (parts use GPL v3) | Apache v2 | ||

Online inference latency |
Tiny | ||||

Scalability |
|||||

Discrete random variables |
Yes | No | Algorithm dependent | ||

Continuous random variables |
Yes | Yes | Yes | ||

String random variables |
Yes | No | No | ||

Stochastic gates (if / switch) |
Yes | No | No | ||

Mixture models |
Yes | Awkward | Yes | ||

Repeat blocks / raising model to power |
Yes | No | No | ||

Arrays of arrays (jagged arrays) |
Yes | No | No | ||

Increment log density |
No | Yes | Yes | ||

Turing complete |
No | No | Yes? | ||

Model evidence computation |
Yes | No | No | ||

Non-parametric models |
GP only | No | No |

- Support for Csoft (Probabilistic C#) is still experimental.
- Has an extensibility mechanism for adding new user-defined factors, message operators, distributions and constraints.

For a comparison to Bayesian network software, see https://www.cs.ubc.ca/~murphyk/Software/bnsoft.html.