Software Alternatives & Reviews

Pandas VS Statista

Compare Pandas VS Statista and see what are their differences

Pandas logo Pandas

Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Statista logo Statista

The Statistics Portal for Market Data, Market Research and Market Studies
  • Pandas Landing page
    Landing page //
    2023-05-12
  • Statista Landing page
    Landing page //
    2023-07-17

Pandas videos

Ozzy Man Reviews: Pandas

More videos:

  • Review - Ozzy Man Reviews: PANDAS Part 2
  • Review - Trash Pandas Review with Sam Healey

Statista videos

Finding Statistics with STATISTA

More videos:

Category Popularity

0-100% (relative to Pandas and Statista)
Data Science And Machine Learning
Business & Commerce
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Technical Computing
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Pandas and Statista

Pandas Reviews

25 Python Frameworks to Master
Pandas is a powerful and flexible open-source library used to perform data analysis in Python. It provides high-performance data structures (i.e., the famous DataFrame) and data analysis tools that make it easy to work with structured data.
Source: kinsta.com
Python & ETL 2020: A List and Comparison of the Top Python ETL Tools
When it comes to ETL, you can do almost anything with Pandas if you're willing to put in the time. Plus, pandas is extraordinarily easy to run. You can set up a simple script to load data from a Postgre table, transform and clean that data, and then write that data to another Postgre table.
Source: www.xplenty.com

Statista Reviews

We have no reviews of Statista yet.
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Social recommendations and mentions

Based on our record, Pandas should be more popular than Statista. It has been mentiond 198 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Pandas mentions (198)

  • AWS Serverless Diversity: Multi-Language Strategies for Optimal Solutions
    Python is a natural fit for serverless development. It boasts a vast array of libraries, including Powertools for AWS and robust libraries for data engineers. Its versatility and excellent developer experience make it a top choice for serverless projects, offering a seamless and enjoyable development experience. - Source: dev.to / 15 days ago
  • Pandas reset_index(): How To Reset Indexes in Pandas
    In data analysis, managing the structure and layout of data before analyzing them is crucial. Python offers versatile tools to manipulate data, including the often-used Pandas reset_index() method. - Source: dev.to / 8 days ago
  • Deploying a Serverless Dash App with AWS SAM and Lambda
    Dash is a Python framework that enables you to build interactive frontend applications without writing a single line of Javascript. Internally and in projects we like to use it in order to build a quick proof of concept for data driven applications because of the nice integration with Plotly and pandas. For this post, I'm going to assume that you're already familiar with Dash and won't explain that part in detail.... - Source: dev.to / 2 months ago
  • Stuff I Learned during Hanukkah of Data 2023
    Last year I worked through the challenges using VisiData, Datasette, and Pandas. I walked through my thought process and solutions in a series of posts. - Source: dev.to / 5 months ago
  • Exploring Open-Source Alternatives to Landing AI for Robust MLOps
    Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks. - Source: dev.to / 5 months ago
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Statista mentions (98)

  • What is Email List Building? Everything You Need to Know.
    As of 2025, Statista.com projects a staggering 4.6 billion email users, highlighting the enduring power of email marketing. This blog is your guide to understanding and mastering email list building. Explore its significance, learn best practices, and glean actionable insights from real successes. Source: 5 months ago
  • Why do people keep blaming the UCP for homelessness and drug overdoses when these problems are same or worse in BC which has an NDP government?
    I can't speak for everyone here, but I doubt that most people are spending $79 USD/mo for a statista.com subscription. Source: 10 months ago
  • Women are hypergamous not for wanting the best man, but for not really having an upper limit on the qualities they desire in men
    The proof that the data doesn't exist? Go to statista.com and look for "bumble height" or any other search term you think is needed to find that chart. Then reflect on how nothing on the chart is how a scientific outlet would do a chart, and especially not Statista. This is done by an amateur who has no idea about designing charts that meet any scientific standard. Source: 10 months ago
  • With MUCH less marketing and MUCH smaller markets....the Women's College Basketball Finals absolutely crushed the NHL's playoff ratings.
    Outside of 2019/20 (COVID), revenue has been rising steadily. (statista.com). Source: 11 months ago
  • Samsung's use of poo poo FedEx is frustrating
    For those who aren't aware, FedEx Ground is made up of independent contractors. FedEx Express is the original FedEx. Yes, by nature of the business, if you ship something FedEx ground it takes longer, and the longer it takes and the more hands that handle a package the more chance there is for loss, damage, or delay. If you ship something through FedEx Express you generally get things much faster and have a better... Source: 12 months ago
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What are some alternatives?

When comparing Pandas and Statista, you can also consider the following products

NumPy - NumPy is the fundamental package for scientific computing with Python

Montecarlito - MonteCarlito is a free Excel-add-in to do Monte-Carlo-simulations.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

datarobot - Become an AI-Driven Enterprise with Automated Machine Learning

OpenCV - OpenCV is the world's biggest computer vision library

IBM ILOG CPLEX Optimization Studio - IBM ILOG CPLEX Optimization Studio is an easy-to-use, affordable data analytics solution for businesses of all sizes who want to optimize their operations.