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Pandas VS AngularJS

Compare Pandas VS AngularJS and see what are their differences

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Pandas logo Pandas

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

AngularJS logo AngularJS

AngularJS lets you extend HTML vocabulary for your application. The resulting environment is extraordinarily expressive, readable, and quick to develop.
  • Pandas Landing page
    Landing page //
    2023-05-12
  • AngularJS Landing page
    Landing page //
    2022-04-15

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.

AngularJS features and specs

  • Two-way data binding
    AngularJS's two-way data binding feature synchronizes data between the model and the view components, reducing the amount of boilerplate code required for data manipulation and improving ease of use.
  • Dependency Injection
    The built-in dependency injection mechanism in AngularJS facilitates better organization and management of services, making the code more modular, testable, and reusable.
  • Modular Development
    AngularJS allows developers to break down applications into modules. This modular approach helps in better code organization, easier maintenance, and parallel development.
  • Community and Ecosystem
    Backed by Google, AngularJS has a large and active community. This extensive support system provides a wealth of resources, plugins, and third-party tools that can facilitate the development process.
  • Directives
    Directives in AngularJS allow developers to extend HTML with new attributes and elements, enabling the creation of custom and reusable components with ease.
  • MVVM Architecture
    The Model-View-ViewModel (MVVM) architecture promotes the separation of concerns, allowing developers to work on different parts of the application without interfering with each other.

Possible disadvantages of AngularJS

  • Performance Issues
    AngularJS's two-way data binding can induce performance issues in large applications due to the constant checking and updating of the binding, which can impact the overall application speed.
  • Steep Learning Curve
    The complexity of AngularJS, with its various concepts such as directives, dependency injection, and MVVM architecture, can present a steep learning curve for new developers.
  • Migration Challenges
    Migrating from AngularJS to newer versions like Angular (2+), which are fundamentally different, poses significant challenges and often requires a complete codebase rewrite.
  • Verbose Code
    AngularJS's syntax can sometimes lead to verbose and complicated code, which can be difficult to read and maintain, especially for large-scale applications.
  • Limited Mobile Support
    Despite its strengths, AngularJS does not offer the same level of performance optimization for mobile applications, making it less ideal for mobile-first development compared to some other frameworks.
  • Legacy Framework
    AngularJS is considered a legacy framework with a focus shifted towards Angular (2+). As a result, it receives fewer updates and less community attention compared to newer frameworks.

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.

Pandas videos

Ozzy Man Reviews: Pandas

More videos:

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

AngularJS videos

What Is AngularJS

More videos:

  • Review - AngularJS Fundamentals In 60-ish Minutes

Category Popularity

0-100% (relative to Pandas and AngularJS)
Data Science And Machine Learning
Javascript UI Libraries
0 0%
100% 100
Data Science Tools
100 100%
0% 0
JavaScript Framework
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 AngularJS

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

AngularJS Reviews

Top JavaScript Frameworks in 2025
AngularJS is an open-source framework used for developing web applications. Google developed it and made it open-source in 2010. It is one of the top choices of developers when it comes to building web applications using JavaScript. Hire web developers from SolGuruz and allow us to help you build white-label solutions.
Source: solguruz.com
20 Next.js Alternatives Worth Considering
Yes, Angular Universal provides server-side rendering capabilities for Angular applications. This tool allows Angular apps to benefit from SSR, improving performance and SEO by rendering pages on the server before sending them to the client.
The 20 Best Laravel Alternatives for Web Development
NestJS is a Node.js framework that’s inspired by Angular, and guess what? It’s written in TypeScript. Building with Typescript is like you’re navigating with the stars. It’s all about sturdy architecture, a server-side framework that enjoys the scripting superness while piling on extra sturdiness.
Top 9 best Frameworks for web development
The best frameworks for web development include React, Angular, Vue.js, Django, Spring, Laravel, Ruby on Rails, Flask and Express.js. Each of these frameworks has its own advantages and distinctive features, so it is important to choose the framework that best suits the needs of your project.
Source: www.kiwop.com
9 Best JavaScript Frameworks to Use in 2023
Angular.js is a powerful JavaScript-based web development framework. It has been designed to make web development more efficient and easy to use. Angular.js is based on the Model-View-Controller (MVC) architecture, which makes it easy to develop dynamic web applications. It also provides many features that make web development more efficient, such as data binding, dependency...
Source: ninetailed.io

Social recommendations and mentions

Based on our record, Pandas should be more popular than AngularJS. It has been mentiond 219 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 (219)

  • Top Programming Languages for AI Development in 2025
    Libraries for data science and deep learning that are always changing. - Source: dev.to / about 1 month 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 / about 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 / about 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 / 9 months ago
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AngularJS mentions (50)

  • Between Diapers and Development – How My Blog Came to Life with Eleventy
    To maximize learning, I could choose something new. Normally, I consider that a valid reason. But given my limited time, that wasn't a priority for me. Another criterion could be long-term viability: Is there a large core team and an active community? Well, who still remembers AngularJS? From Google? And didn’t Facebook/Meta start Jest? I wouldn’t rely too much on that. - Source: dev.to / 2 months ago
  • 11 Quick and Easy Tips for Optimizing AngularJS Performance
    AngularJS is an open-source JavaScript framework that developers use to build frontend applications. It comes with modular support, an extensive community, and all the tools that help develop and manage dynamic frontend web apps. - Source: dev.to / 5 months ago
  • Angular Tutorial: Host Element Binding
    Ok, what we'll use now is something that existed back in the day, after we switched from AngularJS to Angular 2 or modern Angular. We'll use the old/new host property on the component decorator. - Source: dev.to / 11 months ago
  • ⏰ It’s time to talk about Import Map, Micro Frontend, and Nx Monorepo
    Just to give you more context, I led the migration of several AngularJS applications to the newer Angular Framework. My client finally decided to make that move following the AngularJS deprecation announcement (stay up to date please 🙏)️. - Source: dev.to / about 1 year ago
  • JS Toolbox 2024: Essential Picks for Modern Developers Series Overview
    The next post in the series provides a thorough comparison of popular frameworks like React, Vue, Angular, and Svelte, focusing on their unique features and suitability for different project types. - Source: dev.to / over 1 year ago
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What are some alternatives?

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

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

Vue.js - Reactive Components for Modern Web Interfaces

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

React - A JavaScript library for building user interfaces

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

ember.js - A JavaScript framework for creating ambitious web apps