Robyn VS MMM-BurnIn

Compare Robyn vs MMM-BurnIn and see what are their differences.

Robyn

Robyn is a High-Performance, Community-Driven, and Innovator Friendly Web Framework with a Rust runtime. (by sparckles)
Our great sponsors
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • SaaSHub - Software Alternatives and Reviews
Robyn MMM-BurnIn
61 1
3,315 25
2.6% -
9.1 1.8
6 days ago almost 3 years ago
Python JavaScript
BSD 2-clause "Simplified" License MIT 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.

Robyn

Posts with mentions or reviews of Robyn. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-11-08.

MMM-BurnIn

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

We haven't tracked posts mentioning MMM-BurnIn yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing Robyn and MMM-BurnIn you can also consider the following projects:

fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production

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.

uvicorn - An ASGI web server, for Python. 🦄

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

strawberry - A GraphQL library for Python that leverages type annotations 🍓

Python-Regex - A port of the Rust regex library to python for super speed linear matching.

MMM-Remote-Control - Magic Mirror Module to shutdown or configure your mirror

fastuuid - FastUUID is a library which provides CPython bindings to Rust's UUID library

MMM-OpenmapWeather - This module loads current weather as images on Magic Mirror

granian - A Rust HTTP server for Python applications

ormsgpack - Msgpack serialization/deserialization library for Python, written in Rust using PyO3 and rust-msgpack. Reboot of orjson. msgpack.org[Python]

EconML - ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.