blackjax VS orbit

Compare blackjax vs orbit and see what are their differences.

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blackjax orbit
1 1
727 1,811
3.3% 0.8%
8.2 7.8
3 days ago 15 days ago
Python Python
Apache License 2.0 GNU General Public License v3.0 or later
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)?

orbit

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

What are some alternatives?

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

neural_prophet - NeuralProphet: A simple forecasting package

pmdarima - A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.

ruptures - ruptures: change point detection in Python

darts - A python library for user-friendly forecasting and anomaly detection on time series.

pyro - Deep universal probabilistic programming with Python and PyTorch

fracdiff - Compute fractional differentiation super-fast. Processes time-series to be stationary while preserving memory. cf. "Advances in Financial Machine Learning" by M. Prado.

ETSformer - PyTorch code for ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

krisi - ⏳ Evaluation of Time-Series Predictions with powerful pdf and web Reporting. Tailored for evaluation of metrics over time!

ebisu - Public-domain Python library for flashcard quiz scheduling using Bayesian statistics. (JavaScript, Java, Dart, and other ports available!)

statsforecast - Lightning ⚡️ fast forecasting with statistical and econometric models.