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EconML Alternatives
Similar projects and alternatives to EconML
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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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InfluxDB
Collect and Analyze Billions of Data Points in Real Time. Manage all types of time series data in a single, purpose-built database. Run at any scale in any environment in the cloud, on-premises, or at the edge.
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causallift
CausalLift: Python package for causality-based Uplift Modeling in real-world business
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causalglm
Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning
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tensor-house
A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain
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Onboard AI
Learn any GitHub repo in 59 seconds. Onboard AI learns any GitHub repo in minutes and lets you chat with it to locate functionality, understand different parts, and generate new code. Use it for free at www.getonboard.dev.
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robyn
A High-Performance, Community-Driven, and Innovator Friendly Web Framework with a Rust runtime.
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Prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
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DingelNeiman-workathome
"How Many Jobs Can be Done at Home?" by Jonathan Dingel and Brent Neiman
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.
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.
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Data Science and Marketing
Uplift Modeling (python): CausalML, EconML
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UpliftML: An uplift modeling library that handles web scale datasets
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.
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[q] before/after test
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.
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[N] Spotify Confidence - open source for analyzing a/b test data
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.
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What are some applications of Data Science in Digital Marketing?
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
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A note from our sponsor - Onboard AI
getonboard.dev | 1 Oct 2023
Stats
Basic EconML repo stats
8
3,202
7.8
6 days ago
py-why/EconML is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
The primary programming language of EconML is Jupyter Notebook.
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