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Pandas VS Standard JS

Compare Pandas VS Standard JS 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.

Standard JS logo Standard JS

DevOps, Build, Test, Deploy, and Code Review
  • Pandas Landing page
    Landing page //
    2023-05-12
  • Standard JS Landing page
    Landing page //
    2023-08-29

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.

Standard JS features and specs

  • Zero Configuration
    Standard JS comes with a set of rules and configurations out of the box. This eliminates the need to set up a linting configuration file, saving developers time and reducing the cognitive load associated with decision-making.
  • Uniformity
    By enforcing a consistent style across projects, Standard JS helps to create a uniform codebase. This makes it easier for teams to read and understand each other's code, reducing onboarding time for new developers.
  • Community and Support
    As a popular style guide and linter, Standard JS has a robust community and extensive documentation. This support makes it easier for developers to find solutions to issues and to integrate Standard JS into their projects.
  • Less Distraction
    With pre-set rules, developers spend less time debating over coding styles and more time focusing on actual code logic and building functionality.

Possible disadvantages of Standard JS

  • Limited Customization
    Since Standard JS comes with a predefined set of rules, it offers limited flexibility for customization. Developers who prefer tailor-made configurations might find it restrictive.
  • Opinionated Rules
    Standard JS follows an opinionated approach to styling, which might not align with certain team or individual preferences. Some developers might find specific enforced styles disagreeable.
  • Compatibility Issues
    In some cases, Standard JS rules might conflict with pre-existing project configurations or other linters in the project, possibly causing friction during integration.
  • Learning Curve
    For developers new to Standard JS, there may be a learning curve as they acclimate to its specific rules and enforcement practices, particularly if they're used to other style guides.

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

Standard JS videos

No Standard JS videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Pandas and Standard JS)
Data Science And Machine Learning
Code Coverage
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Code Analysis
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 Standard JS

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

Standard JS Reviews

We have no reviews of Standard JS yet.
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Social recommendations and mentions

Based on our record, Pandas should be more popular than Standard JS. 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 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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Standard JS mentions (27)

  • Mastering Code Quality: Setting Up ESLint with Standard JS in TypeScript Projects
    Sorry, I've gone too far. I'm not here to persuade you to use Standard JS. My intention is to provide information and guidance on configuring JavaScript Standard Style for your team, should you agree with me or have other reasons to choose it. - Source: dev.to / about 1 year ago
  • Why is Prettier rock solid?
    I picked up standard[1] a while back for this reason, I don't want to have to think about it. It works fine, I have no complaints (took me a while to get used to not using semi-colons but now I prefer it) Same reason I use `cargo fmt` as well. [1] https://standardjs.com/. - Source: Hacker News / over 1 year ago
  • My prepared repositories for hacktoberfest 23 - any contributions are welcomed 🚀
    A Thin JavaScript Document Storage with Middleware Stack. - Source: dev.to / over 1 year ago
  • Dumb question
    For example, if you use https://standardjs.com/ - it will error on your second code snippet and if you ask it for an autofix - it will transfer the minus sign to the first line. Source: over 2 years ago
  • Unleash the Power of Java: A JavaScript Developer's Guide to Best Practices in Java Development
    In comparison, JavaScript doesn't have a strict coding standard, although it does have widely accepted code style guides like the Airbnb JavaScript Style Guide and the JavaScript Standard Style. These guides provide recommendations for code formatting and naming conventions, but they are not as strictly enforced as the Java coding standard. - Source: dev.to / over 2 years ago
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What are some alternatives?

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

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

Prettier - An opinionated code formatter

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

ESLint - The fully pluggable JavaScript code quality tool

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

EditorConfig - EditorConfig is a file format and collection of text editor plugins for maintaining consistent coding styles between different editors and IDEs.