EconML Alternatives

Similar projects and alternatives to EconML

Prophet

221 17,743 6.2 Python EconML VS Prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Robyn

14 1,026 9.2 Jupyter Notebook EconML VS Robyn

Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community. (by facebookexperimental)
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causalml

10 4,747 8.4 Python EconML VS causalml

Uplift modeling and causal inference with machine learning algorithms
upliftml

7 306 0.0 Python EconML VS upliftml

UpliftML: A Python Package for Scalable Uplift Modeling
tensor-house

4 1,162 7.5 Jupyter Notebook EconML VS tensor-house

A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.
causallift

1 333 1.3 Python EconML VS causallift

CausalLift: Python package for causality-based Uplift Modeling in real-world business
causalglm

2 17 0.0 R EconML VS causalglm

Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning
InfluxDB

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Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
mta

3 91 0.0 Python EconML VS mta

Multi-Touch Attribution
Robyn

61 3,548 9.1 Python EconML VS Robyn

Robyn is a Super Fast Async Python Web Framework with a Rust runtime.
confidence

1 235 6.3 Python EconML VS confidence
BTYDplus

2 180 2.8 R EconML VS BTYDplus

R package for Customer Behavior Analysis
BTYD

1 6 2.6 HTML EconML VS BTYD

BTYD 2.4.3
deepscm

1 258 0.0 Jupyter Notebook EconML VS deepscm

Repository for Deep Structural Causal Models for Tractable Counterfactual Inference

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better EconML alternative or higher similarity.

Suggest an alternative to EconML

EconML reviews and mentions

Posts with mentions or reviews of EconML. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-13.

[D] What approach to decide which class is most optimal for recovery?
1 project | /r/MachineLearning | 14 Oct 2022

A good package with many of the tools used for this type of problem as well as pretty good documentation about how it all works is https://github.com/microsoft/EconML
Getting treatment effects from a random forest
1 project | /r/datascience | 5 Jun 2022
Data Science and Marketing
5 projects | /r/datascience | 13 Apr 2022

Uplift Modeling (python): CausalML, EconML
EconML: A Python Package for ML-Based Heterogeneous Treatment Effects Estimation
1 project | /r/datascience | 3 Apr 2022

Github: https://github.com/microsoft/EconML
UpliftML: An uplift modeling library that handles web scale datasets
3 projects | news.ycombinator.com | 26 Sep 2021

Many libraries have recently emerged that offer implementations of algorithms for heterogeneous treatment effect estimation (or, CATE estimation). The most well-known examples are Microsoft's EconML (https://github.com/microsoft/EconML) and Uber's CausalML (https://github.com/uber/causalml). Existing libraries require all data to fit in memory, which is often a limitation for industry applications on web scale datasets. Booking.com's new library offers similar functionality on top of Spark, enabling web scale uplift modeling.
[q] before/after test
2 projects | /r/AskStatistics | 20 Apr 2021

EconML and CausalLift are pretty good python packages that help you build uplift models. scikit-uplift is a decent sklearn style wrapper package that can be helpful as well. One of the drawbacks of these packages is they only allow for the modeling of a single treatment. mr-uplift is a newer package that allows you to model the multiple treatment effects simultaneously. I haven't used it personally, but it does look fairly interesting.
[N] Spotify Confidence - open source for analyzing a/b test data
2 projects | /r/MachineLearning | 17 Apr 2021

Can't see how this adds to decades of causal inference packages development in stats oriented frameworks like R/Stata/EViews etc and the ongoing effort of porting this to Python. If you want something fancy there's already EconML.
What are some applications of Data Science in Digital Marketing?
5 projects | /r/datascience | 8 Apr 2021

Uplift Modeling - This is a very powerful technique aimed at discovering the customers who are most likely to respond to your marketing efforts. Some good python libraries for this are EconML and mr-uplift
A note from our sponsor - WorkOS
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