cobaya
Code for Bayesian Analysis (by CobayaSampler)
numpyro
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU. (by pyro-ppl)
cobaya | numpyro | |
---|---|---|
1 | 2 | |
120 | 2,056 | |
6.7% | 1.9% | |
8.6 | 8.7 | |
26 days ago | 7 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
cobaya
Posts with mentions or reviews of cobaya.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-24.
-
Problem installing Monte Python
Another suggestion would be to consider using a more modern package. Cobaya (https://github.com/CobayaSampler/cobaya) is one such package that would do what you want, but is much more modern and user friendly than MontePython.
numpyro
Posts with mentions or reviews of numpyro.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-02-10.
- Bayesian Analysis with Python
-
Saving the World with Bayesian Modeling
Perhaps an alternative to look into: Numpyro [1] has a JAX backend so can be really fast when compiled; and it can run on GPUs. So that might be helpful for your problem with loads of data.
[1] https://github.com/pyro-ppl/numpyro
What are some alternatives?
When comparing cobaya and numpyro you can also consider the following projects:
montepython_public - Public repository for the Monte Python Code
PyMC - Bayesian Modeling and Probabilistic Programming in Python