Software Alternatives, Accelerators & Startups

Python VS Underscore.js

Compare Python VS Underscore.js 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.

Python logo Python

Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.

Underscore.js logo Underscore.js

Underscore is a utility-belt library for JavaScript that provides a lot of the functional...
  • Python Landing page
    Landing page //
    2021-10-17

  • Underscore.js Landing page
    Landing page //
    2018-12-17

Python features and specs

  • Easy to Learn
    Python syntax is clear and readable, which makes it an excellent choice for beginners and allows for quick learning and prototyping.
  • Versatile
    Python can be used for web development, data analytics, artificial intelligence, machine learning, automation, and more, making it a highly versatile programming language.
  • Large Standard Library
    Python comes with a comprehensive standard library that includes modules and packages for various tasks, reducing the need to write code from scratch.
  • Strong Community Support
    Python has a large and active community, which means a wealth of third-party packages, tutorials, and documentation is available for assistance.
  • Cross-Platform Compatibility
    Python is compatible with major operating systems like Windows, macOS, and Linux, allowing for easy development and deployment across different platforms.
  • Good for Rapid Development
    The high-level nature of Python allows for quick development cycles and fast iteration, which is ideal for startups and prototyping.

Possible disadvantages of Python

  • Performance Limitations
    Python is generally slower than compiled languages like C or Java because it is an interpreted language, which can be a drawback for performance-critical applications.
  • Global Interpreter Lock (GIL)
    The GIL in CPython, the most used Python interpreter, prevents multiple native threads from executing Python bytecodes at once, limiting multi-threading capabilities.
  • Memory Consumption
    Python can be more memory-intensive compared to some other languages, which might be a concern for applications with tight memory constraints.
  • Mobile Development
    Python is not a primary choice for mobile app development, where languages like Java, Swift, or Kotlin are more commonly used.
  • Runtime Errors
    Being a dynamically typed language, Python code can sometimes lead to runtime errors that would be caught at compile-time in statically typed languages.
  • Dependency Management
    Managing dependencies in Python projects can sometimes be complex and cumbersome, especially when dealing with conflicting versions of libraries.

Underscore.js features and specs

  • Utility Functions
    Underscore.js provides a wealth of utility functions for common tasks such as map, reduce, filter, and more, making it easier to perform operations on arrays, objects, and collections.
  • Consistency
    The library offers a consistent API, which can make your code more readable and maintainable by providing a standard way to perform common programming tasks.
  • Lightweight
    Underscore.js is lightweight compared to full-featured libraries like Lodash, which can be a benefit if you're looking to minimize your application's footprint.
  • Browser Compatibility
    It supports a wide range of JavaScript environments, making it a good choice for projects that need to work across different browsers and Node.js.
  • Quick to Learn
    Easy to pick up for developers with even a basic understanding of JavaScript, due to its straightforward documentation and familiar function names.

Possible disadvantages of Underscore.js

  • Performance
    Underscore.js may not offer the same level of performance optimizations as more modern utility libraries like Lodash, potentially leading to slower execution for some tasks.
  • Limited Functionality
    While it covers many basic utility functions, its feature set is not as extensive as Lodash or other similar libraries, which provide a broader range of capabilities.
  • Outdated
    With the advent of ECMAScript 5 and later versions, many of the functions provided by Underscore.js are now natively available in JavaScript, reducing its necessity.
  • No Modularization
    Underscore does not support modular builds in the same way Lodash does, meaning you might end up including the entire library even if you only need a few functions.
  • Community and Maintenance
    While still maintained, Underscore.js has seen less active development and contributions compared to newer libraries, which could impact its long-term viability and support.

Analysis of Underscore.js

Overall verdict

  • Underscore.js is a reasonable choice if you need a lightweight library for concise, functional programming helpers. While newer libraries or vanilla JavaScript have made some of its functions less essential, Underscore.js remains useful for its simplicity and comprehensive utility set.

Why this product is good

  • Underscore.js is a popular JavaScript library that provides a comprehensive set of utility functions for common programming tasks. It is valued for its simplicity and ease of integration, especially in projects that require functional programming patterns but do not need the full capabilities of larger libraries like Lodash. Underscore.js is lightweight and can significantly enhance productivity by offering functions for tasks such as object manipulation, array operations, and function binding, making code more readable and maintainable.

Recommended for

    Developers working on smaller projects or legacy codebases that require a reliable utility library with functional programming techniques. Itโ€™s also suitable for those who prefer a minimalistic approach and donโ€™t require the extensive features of heavier alternatives.

Python videos

Creator of Python Programming Language, Guido van Rossum | Oxford Union

Underscore.js videos

Introduction to Underscore.JS

Category Popularity

0-100% (relative to Python and Underscore.js)
Programming Language
100 100%
0% 0
Javascript UI Libraries
0 0%
100% 100
OOP
100 100%
0% 0
Development Tools
0 0%
100% 100

User comments

Share your experience with using Python and Underscore.js. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare Python and Underscore.js

Python Reviews

Pine Script Alternatives: A Comprehensive Guide to Trading Indicator Languages
Technical analysis in trading has come a long way, with various programming languages emerging to support traders in developing custom indicators. While Pine Script has been a popular choice for many, alternatives like Indie, ThinkScript, NinjaScript, MetaQuotes Language (MQL), and even general-purpose languages like Python and C++ are gaining traction. Letโ€™s explore these...
Source: medium.com
Top 5 Most Liked and Hated Programming Languages of 2022
No wonder Python is one of the easiest programming languages to work upon. This general-purpose programming language finds immense usage in the field of web development, machine learning applications, as well as cutting-edge technology in the software industry. The fact that Python is used by major tech giants such as Amazon, Facebook, Google, etc. is good enough proof as to...
Top 10 Rust Alternatives
This programming langue is typed statically and operates on a complied system. It works based on several computing languages Python, Ada, and Modula.
15 data science tools to consider using in 2021
Python is the most widely used programming language for data science and machine learning and one of the most popular languages overall. The Python open source project's website describes it as "an interpreted, object-oriented, high-level programming language with dynamic semantics," as well as built-in data structures and dynamic typing and binding capabilities. The site...
The 10 Best Programming Languages to Learn Today
Python's variety of applications make it a powerful and versatile language for different use cases. Python-based web development frameworks like Django and Flask are gaining popularity fast. It's also equipped with quality machine learning and data analysis tools like Scikit-learn and Pandas.
Source: ict.gov.ge

Underscore.js Reviews

We have no reviews of Underscore.js yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Python seems to be a lot more popular than Underscore.js. While we know about 299 links to Python, we've tracked only 24 mentions of Underscore.js. 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.

Python mentions (299)

  • How to Build a Dependency Map of a Legacy Codebase Using AI Tools
    137Foundry provides legacy modernization services that include dependency mapping as a foundational assessment phase. Prettier and ESLint are useful companion tools for enforcing code style consistency as the refactoring proceeds. Node.js and Python.org official documentation are authoritative references for understanding the import and module systems of those runtimes. - Source: dev.to / 2 months ago
  • How to Prepare a Legacy Codebase for AI-Assisted Refactoring
    For Python codebases, tools like Python's built-in ast module and import analysis scripts can generate call graphs. For JavaScript, ESLint and module analysis tools serve a similar purpose. GitHub advanced search can help you find all internal references to a specific function across a large repository. - Source: dev.to / 2 months ago
  • Async Web Scraping in Python: asyncio + aiohttp + httpx (Complete 2026 Guide)
    Import asyncio Import aiohttp From bs4 import BeautifulSoup Async def scrape_and_parse(url: str, session: aiohttp.ClientSession) -> dict: async with session.get(url) as response: html = await response.text() # BeautifulSoup parsing happens after the await โ€” no issue soup = BeautifulSoup(html, "html.parser") return { "url": url, "title": soup.title.string if soup.title... - Source: dev.to / 4 months ago
  • Don't Be Afraid of Git: A Beginner's Guide to Saving and Sharing
    **_Beginner mistake to avoid_** - Writing SQL only inside DBeaver - Always save SQL files in VS Code and commit them **Using PostgreSQL with Python** _**What Python does here**_ Python talks to PostgreSQL and says: - โ€œSave this dataโ€ - โ€œGet this dataโ€ - PostgreSQL listens. Python works. _**Step 1: Install Python **_ - Download from https://python.org - During install, check Add Python to PATH Screenshot... - Source: dev.to / 6 months ago
  • Asyncio: Interview Questions and Practice Problems
    Import time Import requests Import asyncio Import aiohttp Urls = [ 'https://example.com', 'https://httpbin.org/get', 'https://python.org' ] # Synchronous version Def sync_fetch(): for url in urls: response = requests.get(url) print(f"{url} fetched with {len(response.text)} characters") # Async version Async def async_fetch(): async with aiohttp.ClientSession() as session: ... - Source: dev.to / 9 months ago
View more

Underscore.js mentions (24)

  • JavaScript Awesome Package
    Underscore - JavaScript library that provides a whole mess of useful functional programming. - Source: dev.to / 6 months ago
  • JavaScript evolution: From Lodash and Underscore to vanilla
    Underscore was created by Jeremy Ashkenas (the creator of Backbone.js) in 2009 to provide a set of utility functions that JavaScript lacked at the time. It was also created to work with Backbone.js, but it slowly became a favorite among developers who needed utility functions that they could just call and get stuff done with without having to worry about the inner implementations and browser compatibility. - Source: dev.to / over 1 year ago
  • KlongPy: High-Performance Array Programming in Python
    There was a step-change improvement for me when I tried expressing some JS patterns via `underscore.js` instead of procedurally: eg: http://underscorejs.org/#each Thinking of something as `each | map | filter | sum` is waaay less buggy than writing bespoke procedural code to do the same thing. No doubt there is a "cost" to it as well, but the _abstraction_ is valuable. Now, if there were a "compiler" which could... - Source: Hacker News / over 1 year ago
  • 100+ Must-Have Web Development Resources
    Underscore.js: A utility library that offers a full set of functional programming helpers without extending any built-in JavaScript objects. - Source: dev.to / almost 2 years ago
  • Mastering Node.js
    Underscore contains just about every core utility method you want. - Source: dev.to / about 2 years ago
View more

What are some alternatives?

When comparing Python and Underscore.js, you can also consider the following products

JavaScript - Lightweight, interpreted, object-oriented language with first-class functions

jQuery - The Write Less, Do More, JavaScript Library.

Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible

React Native - A framework for building native apps with React

C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation

Babel - Babel is a compiler for writing next generation JavaScript.