CausalPy VS lumi

Compare CausalPy vs lumi and see what are their differences.

CausalPy

A Python package for causal inference in quasi-experimental settings (by pymc-labs)

lumi

Lumi is an nano framework to convert your python functions into a REST API without any extra headache. (by tanmoysrt)
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CausalPy lumi
2 1
805 648
6.3% -
9.2 10.0
5 days ago over 1 year ago
Python Python
Apache License 2.0 BSD 3-clause "New" or "Revised" License
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.

CausalPy

Posts with mentions or reviews of CausalPy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-09.

lumi

Posts with mentions or reviews of lumi. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-09.
  • This Week In Python
    5 projects | dev.to | 9 Dec 2022
    lumi – nano framework to convert your python functions into a REST API

What are some alternatives?

When comparing CausalPy and lumi you can also consider the following projects:

pgmpy - Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

mbdpy - Python module for model-based-design

dowhy - DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

Django - The Web framework for perfectionists with deadlines.

causalml - Uplift modeling and causal inference with machine learning algorithms

codon - A high-performance, zero-overhead, extensible Python compiler using LLVM

lexrpc - Python implementation of XRPC + Lexicon from AT Protocol/Bluesky

genome_integration - MR-link and genome integration. genome_integration is a repository for the analysis of genomic data. Specifically, the repository implements the causal inference method MR-link, as well as other Mendelian randomization methods.

falcon - The no-magic web data plane API and microservices framework for Python developers, with a focus on reliability, correctness, and performance at scale.

python-easter-eggs - Curated list of all the easter eggs and hidden jokes in Python