nitroml VS anovos

Compare nitroml vs anovos and see what are their differences.

nitroml

NitroML is a modular, portable, and scalable model-quality benchmarking framework for Machine Learning and Automated Machine Learning (AutoML) pipelines. (by google)
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nitroml anovos
1 1
40 77
- -
0.9 0.0
about 3 years ago about 1 year ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 GNU General Public License v3.0 or later
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.

nitroml

Posts with mentions or reviews of nitroml. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-19.
  • Launch HN: MindsDB (YC W20) – Machine Learning Inside Your Database
    6 projects | news.ycombinator.com | 19 Feb 2021
    The benchmarking challenges you are facing are pretty common in the AutoML community. My colleagues and I at Google Research are trying to solve this with https://github.com/google/nitroml. It's still super early days (no CI yet), but I think it could help your team benchmark on a set of open standard benchmark tasks as we open source more of the system.

anovos

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

What are some alternatives?

When comparing nitroml and anovos you can also consider the following projects:

FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

Optimus - :truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark

lightwood - Lightwood is Legos for Machine Learning.

Hyperactive - An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

mlops-with-vertex-ai - An end-to-end example of MLOps on Google Cloud using TensorFlow, TFX, and Vertex AI

Apache-Spark-Guide - Apache Spark Guide

MindsDB - The platform for customizing AI from enterprise data

feast - Feature Store for Machine Learning

project-atlas-sao-paulo - A project for the development of rich geospatial data from the city of São Paulo for use in Machine Learning models.

pyspark-tutorial - PySpark Tutorial for Beginners - Practical Examples in Jupyter Notebook with Spark version 3.4.1. The tutorial covers various topics like Spark Introduction, Spark Installation, Spark RDD Transformations and Actions, Spark DataFrame, Spark SQL, and more. It is completely free on YouTube and is beginner-friendly without any prerequisites.