Software Alternatives, Accelerators & Startups

Kitty terminal VS Pandas

Compare Kitty terminal VS Pandas and see what are their differences

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Kitty terminal logo Kitty terminal

Super fast, GPU and OpenGL based terminal emulator with tiling support

Pandas logo Pandas

Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
  • Kitty terminal Landing page
    Landing page //
    2023-06-21
  • Pandas Landing page
    Landing page //
    2023-05-12

Kitty terminal features and specs

  • Performance
    Kitty is designed to be a fast and efficient terminal, with support for GPU rendering. This can provide smoother and quicker display updates, especially beneficial for intensive command-line tasks.
  • Features
    Kitty offers a rich set of features including support for tabs, multiple layouts, and extensions. It also supports features like ligatures, image display, and sixel graphics.
  • Customization
    Kitty is highly customizable, allowing users to modify key bindings, color schemes, and more through its comprehensive configuration files.
  • Remote Control
    Kitty provides a remote control framework, which allows users to script and control the terminal from the command line or other external programs.
  • Platform Support
    Kitty is available on multiple platforms including Linux, macOS, and Windows (through WSL), making it versatile for various operating systems.
  • Active Development
    The terminal is actively maintained by its developers, ensuring regular updates, bug fixes, and the addition of new features.

Possible disadvantages of Kitty terminal

  • Learning Curve
    Given its extensive feature set and customization options, there can be a steep learning curve for new users unfamiliar with its configuration and advanced features.
  • Configuration Complexity
    The extensive customization options, while powerful, can be overwhelming and may require a considerable amount of time to configure to a user's liking.
  • Font Support
    Although Kitty supports font ligatures and several other advanced font features, some users have reported occasional issues with font rendering and compatibility.
  • Resource Usage
    While designed for performance, the use of GPU rendering can mean higher resource usage compared to simpler terminals, which might be noticeable on older hardware.
  • Documentation
    Though extensive, the documentation can sometimes be challenging to navigate for new users, making it harder to find specific information or solutions to particular problems.
  • No Native Windows Support
    Kitty does not have native Windows support; it runs on Windows through the Windows Subsystem for Linux (WSL). This might not be ideal for users looking for a fully native Windows terminal experience.

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.

Kitty terminal videos

Kitty Is A Fast And Feature Rich Terminal Emulator

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 Kitty terminal and Pandas)
SSH
100 100%
0% 0
Data Science And Machine Learning
Terminal Tools
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 Kitty terminal and Pandas

Kitty terminal Reviews

We have no reviews of Kitty terminal yet.
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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 Kitty terminal. 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.

Kitty terminal mentions (93)

  • Optimizing My Dev Workflow in 2025
    Initially, I used the Mac's built-in Terminal, but encountered issues with font loading. This led me to explore alternative terminal options. I initially chose Kitty, but after the official release of Ghostty, I made the switch. It has been running flawlessly for me. - Source: dev.to / 20 days ago
  • iTerm2 Critical Security Fix
    Kitty (https://sw.kovidgoyal.net/kitty) has been my go to for many years and with tmux it's fantastic. I have heard a lot of great things about https://ghostty.org/ but haven't had a chance to check it out. - Source: Hacker News / 4 months ago
  • Preview images, videos, fonts, PDFs ... in Vifm.
    The terminal I am currently using is st but I have also tested this "Vifm" enhancement in kitty and alacritty. - Source: dev.to / 6 months ago
  • Show HN: Shpool, a Lightweight Tmux Alternative
    Oh, this might be the missing piece of the puzzle for me to get rid of tmux! I've been using screen/tmux for a long time. Recently I switched to kitty[0] locally. I like kitty a lot! But I've been stuck with tmux on my servers for session persistence. [0]: https://sw.kovidgoyal.net/kitty/. - Source: Hacker News / 11 months ago
  • Ask HN: What macOS apps/programs do you use daily and recommend?
    Besides the usual Firefox/Chrome, Spotify, etc I use the following: - Karabiner-Elements for key remapping, specifically, for making caps lock into ctrl/esc. I don't know of anything else that does this job. Everyone who remaps keys seems to use this. - Kitty as my terminal of choice. I spend most of my time logged in remotely to a server via ssh where I attach to a tmux session. Kitty was easy enough to... - Source: Hacker News / 11 months ago
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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 / 8 days 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 / 24 days 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 / 27 days 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 / 3 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 / 8 months ago
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What are some alternatives?

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

wezterm - GPU-accelerated cross-platform terminal emulator and multiplexer made with Rust.

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

iTerm2 - A terminal emulator for macOS that does amazing things.

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

Tabby.sh - Tabby is a free and open source SSH, local and Telnet terminal with everything you'll ever need.

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