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Lightweight_mmm Alternatives
Similar projects and alternatives to lightweight_mmm based on common topics and language
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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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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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trimmed_match
This Python library implements Trimmed Match for analyzing randomized paired geo experiments and also implements Trimmed Match Design for designing randomized paired geo experiments.
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GeoexperimentsResearch
Discontinued An open-source implementation of the geo experiment analysis methodology developed at Google. Disclaimer: This is not an official Google product.
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matched_markets
Matched Markets is a Python library for design and analysis of Geo experiments using Matched Markets and Time Based Regression.
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pymc-marketing
Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.
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InfluxDB
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.
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better lightweight_mmm alternative or higher similarity.
lightweight_mmm reviews and mentions
Posts with mentions or reviews of lightweight_mmm.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-02.
- Lightweight (Bayesian) Marketing Mix Modeling (Google Unofficial)
- Show HN: Marketing software for solopreneurs who don't like marketing
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Mixed Marketing Modeling Approach for attribution?
Other packages to consider are LightweightMMM (from Google), which takes a Bayesian approach and is in Python (vs. R for Robyn). It's not as fully featured as Robyn (you don't get all the nice one-pagers and graphs output so easily), but it's still a great option, especially if you have some data scientists on the team who understand MMM.
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Is Hierarchical Bayesian Modelling used in industry?
LightweightMMM - python package
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Two More Years
Interestingly, Google did introduce an MMM framework: LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information. https://github.com/google/lightweight_mmm
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A note from our sponsor - InfluxDB
www.influxdata.com | 29 Apr 2024
Stats
Basic lightweight_mmm repo stats
5
785
5.5
about 1 month ago
google/lightweight_mmm is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of lightweight_mmm is Python.
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