openfl VS FATE

Compare openfl vs FATE and see what are their differences.

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openfl FATE
4 2
660 5,518
1.7% 0.6%
8.7 9.9
6 days ago 7 days ago
Jupyter Notebook 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.

openfl

Posts with mentions or reviews of openfl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-22.

FATE

Posts with mentions or reviews of FATE. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-17.

What are some alternatives?

When comparing openfl and FATE you can also consider the following projects:

PySyft - Perform data science on data that remains in someone else's server

flower - Flower: A Friendly Federated Learning Framework

fedjax - FedJAX is a JAX-based open source library for Federated Learning simulations that emphasizes ease-of-use in research.

ImageAI - A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

sparktorch - Train and run Pytorch models on Apache Spark.

openfl - The Open Flash Library for creative expression on the web, desktop, mobile and consoles.

tf-encrypted - A Framework for Encrypted Machine Learning in TensorFlow

FederatedScope - An easy-to-use federated learning platform

FindTheMag - A tool to determine optimal projects for Gridcoin crunchers. Maximize your magnitude!

FedML - FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, FEDML Nexus AI (https://fedml.ai) is your generative AI platform at scale.

breaching - Breaching privacy in federated learning scenarios for vision and text