Keras VS Pandas

Compare Keras vs Pandas and see what are their differences.

Pandas

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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Keras Pandas
85 421
62,562 44,513
0.5% 0.9%
9.9 9.9
2 days ago 7 days ago
Python Python
Apache License 2.0 BSD 3-clause "New" or "Revised" License
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.

Keras

Posts with mentions or reviews of Keras. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2025-01-02.

Pandas

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 2025-02-08.
  • We Are Destroying Software
    4 projects | news.ycombinator.com | 8 Feb 2025
    They are when the only reason they are flagged as security updates is because some a single group deems a very rare, obscure edge case as a HIGH severity vuln when in practice it rarely is => this leads to having to upgrade a minor version of a library that ends up causing breaking changes.

    This is the recent thread I'm down. Pandas 2.2 broke SQLalchemy backwards compatibility: https://stackoverflow.com/questions/38332787/pandas-to-sql-t... + https://github.com/pandas-dev/pandas/issues/57049#issuecomme...

  • Must-Know 2025 Developer’s Roadmap and Key Programming Trends
    6 projects | dev.to | 5 Feb 2025
    Python’s Growth in Data Work and AI: Python continues to lead because of its easy-to-read style and the huge number of libraries available for tasks from data work to artificial intelligence. Tools like TensorFlow and PyTorch make it a must-have. Whether you’re experienced or just starting, Python’s clear style makes it a good choice for diving into machine learning. Actionable Tip: If you’re new to Python, try projects that combine data with everyday problems. For example, build a simple recommendation system using Pandas and scikit-learn.
  • Sample Super Store Analysis Using Python & Pandas
    3 projects | dev.to | 4 Feb 2025
    This tutorial provides a concise and foundational guide to exploring a dataset, specifically the Sample SuperStore dataset. This dataset, which appears to originate from a fictional e-commerce or online marketplace company's annual sales data, serves as an excellent example for learning and how to work with real-world data. The dataset includes a variety of data types, which demonstrate the full range of capabilities that the Pandas library, written in Python can offer.
  • Bullish on AI infrastructure, bearish on AI developer frameworks
    3 projects | dev.to | 31 Jan 2025
    Data preprocessing and manipulation: Libraries like Pandas solve for the messy, real-world challenge of efficiently wrangling and cleaning large datasets. Without it, you'd be reinventing functionality for basic tasks like merging, filtering, or aggregating data.
  • Building an AI-powered Financial Data Analyzer with NodeJS, Python, SvelteKit, and TailwindCSS - Part 0
    7 projects | dev.to | 31 Jan 2025
    The AI Service will be built using aiohttp (asynchronous Python web server) and integrates PyTorch, Hugging Face Transformers, numpy, pandas, and scikit-learn for financial data analysis.
  • Building a Sarcasm Detection System with LSTM and GloVe: A Complete Guide
    4 projects | dev.to | 2 Jan 2025
    Pandas
  • Fixing timestamp overflow error in Python
    1 project | news.ycombinator.com | 30 Dec 2024
  • Build a Competitive Intelligence Tool Powered by AI
    3 projects | dev.to | 29 Nov 2024
    Add data visualization to make it actionable for your business using pandas.pydata.org and matplotlib.org
  • How to Use Lambda Functions in Python
    1 project | dev.to | 30 Oct 2024
    In this tutorial, we'll see how to use Lambda functions with the library Pandas: a fast, powerful, flexible, and easy-to-use open-source data analysis and manipulation library. If you don't have it installed, run the following:
  • Using Polars in Rust for high-performance data analysis
    9 projects | dev.to | 30 Oct 2024
    One of the main selling points of Polars over similar solutions such as Pandas is performance. Polars is written in highly optimized Rust and uses the Apache Arrow container format.

What are some alternatives?

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

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

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

MLP Classifier - A handwritten multilayer perceptron classifer using numpy.

tensorflow - An Open Source Machine Learning Framework for Everyone

Cubes - [NOT MAINTAINED] Light-weight Python OLAP framework for multi-dimensional data analysis

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

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

PyBrain

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

NumPy - The fundamental package for scientific computing with Python.

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www.nutrient.io
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the 2nd most popular programming language
based on number of references?