blackjax VS Gumbi

Compare blackjax vs Gumbi and see what are their differences.

blackjax

BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity. (by blackjax-devs)
probabilistic-programming bayesian-inference sampling-methods hamiltonian-monte-carlo
Source Code
blackjax-devs.github.io
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Gumbi

Gaussian Process Model Building Interface (by JohnGoertz)
Python probabilistic-programming gaussian-processes bayesian-inference Regression
Source Code
johngoertz.github.io
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blackjax Gumbi
1 1
727 48
3.3% -
8.2 5.2
3 days ago 6 months ago
Python Python
Apache License 2.0 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.

blackjax

Posts with mentions or reviews of blackjax. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-30.
  • AutoBNN: Probabilistic Time Series Forecasting
    2 projects | news.ycombinator.com | 30 Mar 2024
    What are the other four frameworks?

    > For one, who wants to do stuff in tensorflow anymore let alone tensorflow-probability.

    AutoBNN is a JAX library and has nothing to do technically with TF Probability. It was developed by the TF Probability team.

    > DL community prefers pytorch and stats community prefers Stan.

    It looks like the JAX ecosystem for stats is growing: NumPyro is based on JAX, PyMC has a JAX backend, https://github.com/blackjax-devs/blackjax has effective samplers, there is https://github.com/jax-ml/bayeux, and now AutoBNN.

    > This one seems theoretically more interesting than some others but practically less useful.

    Are there other factors why you think AutoBNN is not practically useful, apart from being based on the wrong foundation (which was a mistaken belief of yours)?

Gumbi

Posts with mentions or reviews of Gumbi. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing blackjax and Gumbi you can also consider the following projects:

mozregression - Regression range finder for Mozilla nightly builds

Stheno.jl - Probabilistic Programming with Gaussian processes in Julia

Machine-Learning - Implementation of different ML Algorithms from scratch, written in Python 3.x

Gumbi vs mozregression Gumbi vs Stheno.jl Gumbi vs Machine-Learning