Software Alternatives, Accelerators & Startups

Photomath VS Pandas

Compare Photomath VS Pandas and see what are their differences

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Photomath logo Photomath

Photomath is a mobile app that will give you the ability to test your equations through a simple calculator interface that will fully explain the solution in a step-by-step fashion. Read more about Photomath.

Pandas logo Pandas

Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
  • Photomath Landing page
    Landing page //
    2023-09-13
  • Pandas Landing page
    Landing page //
    2023-05-12

Photomath features and specs

  • Ease of Use
    Photomath offers a user-friendly interface that allows users to take pictures of handwritten or printed math problems and receive instant solutions.
  • Step-by-Step Solutions
    The app provides detailed step-by-step explanations, helping users understand both simple and complex mathematical problems.
  • Wide Range of Topics
    Photomath covers various mathematical topics, from basic arithmetic to advanced calculus, making it useful for students at different educational levels.
  • Offline Access
    Users can access solutions and tutorials even without an internet connection, which is great for studying in locations with limited connectivity.
  • Free Basic Version
    Photomath offers a free version that includes essential features, making it accessible to a wide audience without any financial commitment.

Possible disadvantages of Photomath

  • Limited Advanced Features in Free Version
    The free version of Photomath lacks some advanced features, which are only available in the premium version, potentially limiting functionality for some users.
  • Dependence on Camera Quality
    The accuracy of Photomath’s solutions can be affected by the quality of the user's camera, leading to potential misinterpretations of the math problems.
  • Not a Substitute for Learning
    While Photomath is a great tool for checking answers and understanding steps, it can lead to over-reliance, where users might not fully engage in learning the material.
  • Potential Privacy Concerns
    As with any app requiring camera access, there might be privacy concerns regarding data and how it is handled by the application.
  • Limited Applicability to Word Problems
    Photomath may struggle with solving word problems or complex problems that require interpretation beyond mathematical operations.

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.

Analysis of Photomath

Overall verdict

  • Photomath is generally considered a good app for its intended purpose of aiding in the learning and understanding of math concepts. Its user-friendly interface and detailed explanations can be very beneficial. However, while it is an excellent supplementary tool for learning, it should be used in conjunction with traditional learning methods and not as a sole resource.

Why this product is good

  • Photomath is a popular educational tool that helps users understand and solve mathematical problems using a smartphone's camera. The app provides step-by-step solutions and explanations, making it easier for users to learn and understand different mathematical concepts. It is well-suited for both students and parents looking to assist with homework or study sessions.

Recommended for

  • Students who need additional support with math homework
  • Parents looking to assist their children in understanding math problems
  • Individuals who want to refresh their math skills
  • Educators seeking supplementary resources for teaching mathematics

Analysis of Pandas

Overall verdict

  • Pandas is highly recommended for tasks involving data manipulation and analysis, especially for those working with tabular data. Its efficiency and ease of use make it a staple in the data science toolkit.

Why this product is good

  • Pandas is widely considered a good library for data manipulation and analysis due to its powerful data structures, like DataFrames and Series, which make it easy to work with structured data. It provides a wide array of functions for data cleaning, transformation, and aggregation, which are essential tasks in data analysis. Furthermore, Pandas seamlessly integrates with other libraries in the Python ecosystem, making it a versatile tool for data scientists and analysts. Its extensive documentation and strong community support also contribute to its reputation as a reliable tool for data analysis tasks.

Recommended for

    Pandas is particularly recommended for data scientists, analysts, and engineers who need to perform data cleaning, transformation, and analysis as part of their work. It is also suitable for academics and researchers dealing with data in various formats and needing powerful tools for their data-driven research.

Photomath videos

PhotoMath App Review

More videos:

  • Review - Photomath app review (TeacherTechMan) Season 2 EP2
  • Review - PhotoMath App 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 Photomath and Pandas)
Education
100 100%
0% 0
Data Science And Machine Learning
Knowledge Search
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 Photomath and Pandas

Photomath Reviews

The 15 Best AI Tools to Solve Math Problems
Photomath: Photomath is a popular mobile app that uses AI technology to solve math problems by scanning handwritten or printed equations using a smartphone camera. It provides instant solutions, step-by-step explanations, and graphs for algebra, calculus, and other math topics.
10 Of The Best Mathway Alternatives
After scanning the equation or problem with your smartphone camera, the platform provides you with the answer. It will also provide a detailed solution breakdown. The strength of Photomath is the range of problems it can solve. It can handle the most complex trigonometry and calculus questions with ease.
Source: launchspace.net
Math Made Easy: Best Apps Like PhotoMath
So, you’ve got all these apps like Photomath, right? How do you choose? Well, let’s break it down into a handy comparison table. Imagine a table where you can see all the features, pros, cons, and pricing of each app side by side. It’s like a cheat sheet for picking the best math solver app for you.
6 Best Math Problem Solver Apps
Photomath is another powerful math problem solver app. It offers step by step explanations to math problems covering different topics from geometry to word problems. These explanations are illustrated with interactive graphs and several solution methods.
Top Alternatives to Course Hero
Photomath is an AI-powered app for math homework. It’s geared toward younger students who are working on simpler assignments. Reviewers at The Guardian and Entrepreneur Magazine found that the app had accuracy problems.
Source: oneclass.com

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, Pandas seems to be a lot more popular than Photomath. While we know about 219 links to Pandas, we've tracked only 5 mentions of Photomath. 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.

Photomath mentions (5)

  • 🧰 AI Tools +150 Tools in 6 Categories
    Photomath - Step-by-step explanations help you master math from arithmetic to calculus to continue building on your skills. Claims to be your study buddy from second grade to senior year! Source: almost 2 years ago
  • Open Source Wolfram Alpha alternative?
    That said, depending on what capabilities you are looking for exactly, you'll find a number of possible alternatives—if you want math solvers, for example, you could look at Open Omnia, Symbolab, Photomath, or MS Math Solver... Just don't expect to find a ton of open source options. Source: about 2 years ago
  • If you're having problems with maths
    Why waste time typing in an equation when you can use Potomath. Source: over 2 years ago
  • It’s a calculator app???
    According to their site Photomath scans the equation, or it can be manually entered in their calculator function; and then demonstrates how to solve it as part of the programs function/service. This isn’t done locally and that why it needs internet. You’re not connecting for the answer, you’re connecting to get the answer and show how it’s solved. Source: about 3 years ago
  • How do I do part B?
    Photomath Never used one of these as they didn’t exist when I was younger but lots of websites and apps that will help with this kind of thing. Good luck!! Source: over 3 years ago

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 / about 2 months 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 / 2 months 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 / 2 months 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 / 4 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 / 10 months ago
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What are some alternatives?

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

Mathway - Mathway is a freemium math solving app that helps you find the solutions to any math problem you can imagine.

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

Symbolab - Step by step calculator

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

WolframAlpha - WolframAlpha brings expert-level knowledge and capabilities to the broadest possible range of people—spanning all professions and education levels.

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