PaddlePaddle VS MLflow

Compare PaddlePaddle vs MLflow and see what are their differences.

PaddlePaddle

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署) (by PaddlePaddle)

MLflow

Open source platform for the machine learning lifecycle (by mlflow)
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PaddlePaddle MLflow
6 54
21,516 17,021
1.1% 3.9%
10.0 9.9
about 22 hours ago 6 days ago
C++ Python
Apache License 2.0 Apache License 2.0
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.

PaddlePaddle

Posts with mentions or reviews of PaddlePaddle. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-16.

MLflow

Posts with mentions or reviews of MLflow. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-13.

What are some alternatives?

When comparing PaddlePaddle and MLflow you can also consider the following projects:

clearml - ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management

tensorflow - An Open Source Machine Learning Framework for Everyone

Sacred - Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

zenml - ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io.

guildai - Experiment tracking, ML developer tools

dvc - 🦉 ML Experiments and Data Management with Git

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

H2O - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

PyTorch-NLP - Basic Utilities for PyTorch Natural Language Processing (NLP)

neptune-client - :ledger: The MLOps stack component for experiment tracking

dagster - An orchestration platform for the development, production, and observation of data assets.