Pandas VS tensorflow

Compare Pandas vs tensorflow and see what are their differences.


Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more (by pandas-dev)
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Pandas tensorflow
309 189
36,782 170,805
1.0% 0.5%
10.0 10.0
about 11 hours ago 4 days ago
Python C++
BSD 3-clause "New" or "Revised" License 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 Pandas. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-01.


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 2023-02-03.
  • How worried are you about AI taking over music?
    13 projects | | 3 Feb 2023
    Tensorflow 238k contributors
  • Python's "Disappointing" Superpowers
    2 projects | | 2 Feb 2023
    C++ is actually used in machine learning. More than 60% of TensorFlow code is in C++: With high level configs and prototyping is done in python.
  • 👙 Ready for Thot or Bot? 🤖
    3 projects | | 22 Jan 2023
  • 10 Interesting GitHub Repos Worth Checking Out
    9 projects | | 16 Dec 2022
    10. Tensorflow
  • Data-Oriented Programming in Python
    2 projects | | 27 Nov 2022
    > In practice, scientific computing users rely on the NumPy family of libraries e.g. NumPy, SciPy, TensorFlow, PyTorch, CuPy, JAX, etc..

    this is a somewhat confusing statement. most of these libraries actually don't rely on numpy. e.g. tensorflow ultimately wraps c++/eigen tensors [0] and numpy enters somewhere higher up in their python integration


  • Anyone attempted to convert stablediffusion tensorflow to tf lite?
    3 projects | | 20 Nov 2022
    ``` Downloading data from\_simple\_vocab\_16e6.txt.gz?raw=true 1356917/1356917 [==============================] - 0s 0us/step WARNING:tensorflow:From /usr/local/lib/python3.7/dist-packages/tensorflow/python/autograph/pyct/static_analysis/ Analyzer.lamba_check (from tensorflow.python.autograph.pyct.static_analysis.liveness) is deprecated and will be removed after 2023-09-23. Instructions for updating: Lambda fuctions will be no more assumed to be used in the statement where they are used, or at least in the same block. By using this model checkpoint, you acknowledge that its usage is subject to the terms of the CreativeML Open RAIL-M license at Downloading data from\_encoder.h5 492466864/492466864 [==============================] - 7s 0us/step Downloading data from\_diffusion\_model.h5 3439090152/3439090152 [==============================] - 85s 0us/step Downloading data from\_decoder.h5 198180272/198180272 [==============================] - 3s 0us/step ``` I attempted to save the model from Keras_cv but it throws the same error.
  • Does anyone feel like R is actually vastly worse for dependency/environment management than Python?
    3 projects | | 15 Nov 2022
    Python 3.11 is worse. It doesn't even support Tensorflow (at least as of now), which is arguably the most popular deep learning package in Python.
  • Elon Musk dissolves Twitter's board of directors
    3 projects | | 31 Oct 2022
    So, clearly with your AP CS class and PLC logic knowledge, if you were dumped into a codebase like Hadoop, QT, or TensorFlow you'd be able to quickly and competently analyze what is going on with that code, understand all the libraries used, know the reasons why certain compromises were made, and be able to make suggestions on how to restructure the code in a different way? Because I've been programming for coming up on two decades and unless a system is within the domains that I have experience in, I would not be able to provide any useful information without a massive onboarding timeline, and definitely wouldn't be able to help redesign anything until actually coding within the system for a significant amount of time.
  • TF2.11 dropping official native support for Windows?
    2 projects | | 27 Oct 2022
    It seems like Tensorflow 2.11 is dropping official native support for Windows. I was trying to compile TF 2.11-rc1 on Windows but hit with an error which I have reported here ( They told me to refer to the release note (
  • ML Frameworks
    2 projects | | 25 Oct 2022

What are some alternatives?

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

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)

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

Cubes - Light-weight Python OLAP framework for multi-dimensional data analysis

orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis

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.

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

Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

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


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

MLflow - Open source platform for the machine learning lifecycle

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