Software Alternatives & Reviews

Kotlin VS Pandas

Compare Kotlin VS Pandas and see what are their differences

Kotlin logo Kotlin

Statically typed Programming Language targeting JVM and JavaScript

Pandas logo Pandas

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

We recommend LibHunt Kotlin for discovery and comparisons of trending Kotlin projects.

  • Pandas Landing page
    Landing page //
    2023-05-12

Kotlin videos

10 reasons to try Kotlin for Android development

More videos:

  • Review - What can Kotlin do for me? (GDD Europe '17)
  • Review - Java or Kotlin for Android Development – Which One Is Better?

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 Kotlin and Pandas)
Programming Language
100 100%
0% 0
Data Science And Machine Learning
OOP
100 100%
0% 0
Data Science Tools
0 0%
100% 100

User comments

Share your experience with using Kotlin and Pandas. 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 Kotlin and Pandas

Kotlin Reviews

Top 10 Rust Alternatives
The last computer programming language to stand out as an exceptional alternative to Rust is named Kotlin. It is typed statically and was manufactured for Java machines.

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 should be more popular than Kotlin. It has been mentiond 197 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.

Kotlin mentions (74)

  • Implementing an Auto-logout Feature for Android in Kotlin
    A basic understanding of Kotlin and programming in general (OOP). - Source: dev.to / 19 days ago
  • Kotlin and Azure Functions - Automating the deployment
    Being somewhat allergic to coding in Java (this is a personal thing, if you like Java then good for you) I decided to try out writing the code using Kotlin from JetBrains instead. I'm already using IntelliJ as I work with Apache Spark using Scala, so the tooling was already there and ready to go for this. - Source: dev.to / about 1 month ago
  • 🎉 Kotlin Multiplatform is now STABLE!
    Congrats to our friends at Kotlin. 🚀 After years of growth and development, KMP reaches a pivotal milestone with 1.9.20. We’ve been on team Kotlin Multiplatform since day one, and the best is yet to come! Learn more 👉 https://touchlab.co/kotlin-multiplatform-is-stable. Source: 6 months ago
  • Regarding Lenses, Prisms and Optics
    Another option could be to check out Kotlin. It's a JVM language that while still object-oriented has may functional syntax features. Source: 6 months ago
  • Kotlin Multiplatform for Android and iOS Apps
    Kotlin is not a Google project. It is made by JetBrains. It says so right up front on their web page: https://kotlinlang.org/. - Source: Hacker News / 7 months ago
View more

Pandas mentions (197)

  • Pandas reset_index(): How To Reset Indexes in Pandas
    In data analysis, managing the structure and layout of data before analyzing them is crucial. Python offers versatile tools to manipulate data, including the often-used Pandas reset_index() method. - Source: dev.to / 1 day ago
  • Deploying a Serverless Dash App with AWS SAM and Lambda
    Dash is a Python framework that enables you to build interactive frontend applications without writing a single line of Javascript. Internally and in projects we like to use it in order to build a quick proof of concept for data driven applications because of the nice integration with Plotly and pandas. For this post, I'm going to assume that you're already familiar with Dash and won't explain that part in detail.... - Source: dev.to / about 2 months ago
  • Stuff I Learned during Hanukkah of Data 2023
    Last year I worked through the challenges using VisiData, Datasette, and Pandas. I walked through my thought process and solutions in a series of posts. - Source: dev.to / 4 months ago
  • Exploring Open-Source Alternatives to Landing AI for Robust MLOps
    Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks. - Source: dev.to / 5 months ago
  • Mastering Pandas read_csv() with Examples - A Tutorial by Codes With Pankaj
    Pandas, a powerful data manipulation library in Python, has become an essential tool for data scientists and analysts. One of its key functions is read_csv(), which allows users to read data from CSV (Comma-Separated Values) files into a Pandas DataFrame. In this tutorial, brought to you by CodesWithPankaj.com, we will explore the intricacies of read_csv() with clear examples to help you harness its full potential. - Source: dev.to / 5 months ago
View more

What are some alternatives?

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

Dart - A new web programming language with libraries, a virtual machine, and tools

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

Elixir - Dynamic, functional language designed for building scalable and maintainable applications

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

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

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