Software Alternatives, Accelerators & Startups

Scratch VS Pandas

Compare Scratch VS Pandas and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Scratch logo Scratch

Scratch is the programming language & online community where young people create stories, games, & animations.

Pandas logo Pandas

Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
  • Scratch Landing page
    Landing page //
    2021-10-17
  • Pandas Landing page
    Landing page //
    2023-05-12

Scratch features and specs

  • Engaging Interface
    Scratch offers a visually appealing and user-friendly interface that makes it accessible for kids and beginners to learn programming concepts.
  • Community Support
    The platform has a large and active community where users can share projects, get feedback, and collaborate with others, fostering a sense of community and support.
  • Educational Value
    Scratch is designed with a strong pedagogical foundation, helping users to develop problem-solving skills, logical thinking, and creativity.
  • Drag-and-Drop Programming
    The block-based coding in Scratch eliminates syntax errors and simplifies the process of learning programming logic, making it ideal for beginners.
  • Free to Use
    Scratch is completely free to use, which makes it accessible to a wide audience without any financial barriers.
  • Portable
    Being web-based, Scratch can be accessed from any device with an internet connection, providing ease of access and flexibility.

Possible disadvantages of Scratch

  • Limited Advanced Capabilities
    Scratch is mainly designed for beginners and might not offer the depth or complexities needed for more advanced programming projects.
  • Performance Issues
    Larger projects can sometimes become slow or unresponsive, particularly on less powerful devices.
  • Simplified Programming
    The drag-and-drop nature of Scratch, while educational, might limit exposure to the syntax and intricacies of written programming languages.
  • Internet Dependency
    Scratch primarily requires an internet connection, which could be a limitation in areas with poor connectivity.
  • Age Focus
    The platform is highly targeted towards younger audiences, which might not be appealing or suitable for older learners or adults seeking beginner resources.
  • Privacy Concerns
    As with any online community, there are potential privacy and security risks, especially for younger users, which require careful monitoring and guidance.

Pandas features and specs

  • Data Wrangling
    Pandas offers robust tools for manipulating, cleaning, and transforming data, making it easier to prepare data for analysis.
  • Flexible Data Structures
    Pandas provides two primary data structures: Series and DataFrame, which are flexible and offer powerful capabilities for handling various types of datasets.
  • Integration with Other Libraries
    Pandas integrates seamlessly with other Python libraries such as NumPy, Matplotlib, and SciPy, facilitating comprehensive data analysis workflows.
  • Performance with Data Size
    For data sizes that fit into memory, Pandas performs excellently with operations and computations being highly optimized.
  • Rich Feature Set
    Pandas provides a wide array of functionalities, including but not limited to group-by operations, merging and joining data sets, time-series functionality, and input/output tools.
  • Community and Documentation
    Pandas has a strong community and extensive documentation, offering a wealth of tutorials, examples, and support for new and experienced users alike.

Possible disadvantages of Pandas

  • Memory Consumption
    Pandas can become memory inefficient with very large datasets because it relies heavily on in-memory operations.
  • Single-threaded
    Many Pandas operations are single-threaded, which can lead to performance bottlenecks when handling very large datasets.
  • Steep Learning Curve
    For users who are new to data analysis or Pandas, there can be a steep learning curve due to its extensive capabilities and complex syntax at times.
  • Less Suitable for Real-time Analytics
    Pandas is not designed for real-time analytics and is better suited for batch processing due to its in-memory operations and single-threaded nature.
  • Error Handling
    Error messages in Pandas can sometimes be cryptic and hard to interpret, making debugging a challenge for users.

Scratch videos

Scratch 3.0 Review: My Thoughts About Scratch 3.0

More videos:

  • Review - Numark PT01 Scratch Review
  • Review - Meguiar's scratch X 2.0 review

Pandas videos

Ozzy Man Reviews: Pandas

More videos:

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

Category Popularity

0-100% (relative to Scratch and Pandas)
Kids Education
100 100%
0% 0
Data Science And Machine Learning
Game Development
100 100%
0% 0
Data Science Tools
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 Scratch and Pandas

Scratch Reviews

  1. Pratham shah
    · nothing at none ·
    TOO GOOD

    It is just awesome. you can make so many things WITHOUT A TEAM! If you are starting then this is an awesome place to start at.

    🏁 Competitors: Python, Java, Code.org
    👍 Pros:    Good UI|Remix|Works perfectly|100% free|Many, many languages

Top 15 educational software to streamline the learning process
Scratch lets students create interactive stories, games, and animations. The coding projects allow students to experiment and express their ideas, developing 21st-century skills like computational thinking and creativity. Scratch introduces students to programming, STEM and digital literacy in a fun way.
16 Scratch Alternatives
It can even permit anyone to access its junior program through which kids can learn how to make any app by taking their focus on the study related to programming. Scratch also comes with facilitating users with the permission to mix all the programming blocks so that they can create multiple characters for singing, jumping, dancing, moving, and more.
Coding Websites That Help Kids Learn Programming In A Fun Way in 2023
Scratch, created by MIT students, teaches coding by allowing students to create tales, games, and animations using programming blocks. There is a vibrant online community as well as a step-by-step tutorial to assist those who are just getting started. Students can also use an offline editor to revise their work. ScratchJr, a simplified version of the software, is targeted at...
20 Best Scratch Alternatives 2023
Unlike Scratch, Snap targets not only kids but also high school and college students. The platform provides a solution for serious computer science study, while Scratch focuses on just the basics.

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

Social recommendations and mentions

Based on our record, Scratch should be more popular than Pandas. It has been mentiond 569 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.

Scratch mentions (569)

  • TikTok Is Harming Children at an Industrial Scale
    I anticipate my kid needing to live in a word with capitalism, it doesn't ncessarily mean that they need a Mastercard at 4 years old. Same with many other things: condoms, keys to a car, access to alcohol. There is a time for everything, and at the age of 4, a young human probably has not yet maxxed out on analog stimuli opportunities. I learned YouTube when it came out in 2006 and I was 21. I've got 19 years of... - Source: Hacker News / 23 days ago
  • How I Got Started in IT: My Journey to Becoming an Apprentice Support Engineer 🚀
    I've always been fascinated by the technology. I spent many hors playing video games and the first dive into the world of development was when I had to code a game on Scratch. The excercise looked pretty easy: Create a Tamagotchi-like game. Let me tell you - It wasn't easy at all for someone of a young age! There were many things that I needed to pay attention to: Things I have never heard of before! - Source: dev.to / 6 months ago
  • Principles of Educational Programming Language Design
    I would be surprised if your first program was C++? Specifically, getting a decent C++ toolchain that can produce a meaningful program is not a small thing? I'm not sure where I feel about languages made for teaching and whatnot, yet; but I would be remiss if I didn't encourage my kids to use https://scratch.mit.edu/ for their early programming. I remember early computers would boot into a BASIC prompt and I... - Source: Hacker News / 5 months ago
  • There is no such thing as a global method (in Ruby)
    I've been teaching a teenager how to code with smalltalk (Scratch): https://scratch.mit.edu/. - Source: Hacker News / 6 months ago
  • Ask HN: Platform for 11 year old to create video games?
    A good place to start with kids that age is Scratch: https://scratch.mit.edu/. - Source: Hacker News / 8 months ago
View more

Pandas mentions (219)

  • Top Programming Languages for AI Development in 2025
    Libraries for data science and deep learning that are always changing. - Source: dev.to / 11 days ago
  • How to import sample data into a Python notebook on watsonx.ai and other questions…
    # Read the content of nda.txt Try: Import os, types Import pandas as pd From botocore.client import Config Import ibm_boto3 Def __iter__(self): return 0 # @hidden_cell # The following code accesses a file in your IBM Cloud Object Storage. It includes your credentials. # You might want to remove those credentials before you share the notebook. Cos_client = ibm_boto3.client(service_name='s3', ... - Source: dev.to / 28 days ago
  • How I Hacked Uber’s Hidden API to Download 4379 Rides
    As with any web scraping or data processing project, I had to write a fair amount of code to clean this up and shape it into a format I needed for further analysis. I used a combination of Pandas and regular expressions to clean it up (full code here). - Source: dev.to / about 1 month ago
  • Must-Know 2025 Developer’s Roadmap and Key Programming Trends
    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,... - Source: dev.to / 3 months ago
  • Sample Super Store Analysis Using Python & Pandas
    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... - Source: dev.to / 9 months ago
View more

What are some alternatives?

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

Code.org - Code.org is a non-profit whose goal is to expose all students to computer programming.

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

Godot Engine - Feature-packed 2D and 3D open source game engine.

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

GDevelop - GDevelop is an open-source game making software designed to be used by everyone.

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