tensorflow VS PaddlePaddle

Compare tensorflow vs PaddlePaddle and see what are their differences.


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tensorflow PaddlePaddle
141 2
165,181 18,250
0.7% 2.2%
10.0 10.0
3 days ago 3 days ago
C++ C++
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.


Posts with mentions or reviews of tensorflow. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-22.


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

What are some alternatives?

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

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

scikit-learn - scikit-learn: machine learning in Python

LightGBM - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.


xgboost - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

Keras - Deep Learning for humans

LightFM - A Python implementation of LightFM, a hybrid recommendation algorithm.

MLflow - Open source platform for the machine learning lifecycle

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration

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

gensim - Topic Modelling for Humans

Deeplearning4j - Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation.