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PicMonkey VS Pandas

Compare PicMonkey VS Pandas and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

PicMonkey logo PicMonkey

PicMonkey is a feature-rich online photo editor that works right in your browser; no downloads...

Pandas logo Pandas

Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
  • PicMonkey Landing page
    Landing page //
    2023-07-25
  • Pandas Landing page
    Landing page //
    2023-05-12

PicMonkey features and specs

  • User-Friendly Interface
    PicMonkey has a straightforward and intuitive interface that makes it easy for beginners to get started with photo editing and graphic design without much of a learning curve.
  • Variety of Templates
    The platform offers a diverse range of pre-designed templates for social media, marketing materials, and personal projects, helping users quickly create professional-looking designs.
  • Robust Editing Tools
    PicMonkey provides a comprehensive set of photo editing tools, including advanced features like layer management, blending modes, and touch-up tools, enabling users to perform detailed edits.
  • Web-Based and Mobile-Friendly
    As a web-based application, PicMonkey is accessible from any device with an internet connection. Additionally, it offers mobile apps for on-the-go editing.
  • Collaboration Features
    PicMonkey allows for easy collaboration with team members and clients, supporting shared workspaces where multiple users can work on a project simultaneously.

Possible disadvantages of PicMonkey

  • Subscription-Based Service
    While PicMonkey offers a free trial, the service is subscription-based, with monthly and annual plans. This can be a downside for users looking for a free, long-term solution.
  • Limited Free Version
    The free version of PicMonkey has limited functionality, restricting access to certain tools, templates, and features that are only available in the paid plans.
  • Browser Dependence
    As a web-based tool, PicMonkey's performance can be heavily dependent on the user’s internet connection and browser capabilities, which can affect usability and speed.
  • Steeper Learning Curve for Advanced Features
    While the basic tools are easy to use, some of the more advanced features and functionalities of PicMonkey may require time and effort to master, which could be challenging for beginners.
  • Limited File Type Export Options
    PicMonkey has a limited range of export options for file types compared to some other graphic design and photo editing software, potentially limiting flexibility for professional users.

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.

PicMonkey videos

+ Add

PicMonkey Overview 2018 First Look Beta New Features Review

More videos:

  • Review - Intro to New PicMonkey

Pandas videos

+ Add

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 PicMonkey and Pandas)

PicMonkey

Pandas

Design Tools
100 100%
Design Tools
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Graphic Design Software
100 100%
Graphic Design Software
0% 0
Data Science Tools
0 0%
Data Science Tools
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 PicMonkey and Pandas

PicMonkey Reviews

The Top 10 Alternatives to Marq in 2024
PicMonkey has received a rating of 4.4 out of 5 stars based on user reviews. Users generally mention the intuitive design and ease of use. Check out more PicMonkey reviews here.
Source: piktochart.com
The 7 Best Free Photoshop Alternatives
Another platform-independent, web-based design and editing tool with a lot to offer is PicMonkey, which was seemingly designed with the neophyte user in mind but also packs a punch for those looking for more state-of-the-art features. As long as you have a browser running Flash, PicMonkey is accessible on virtually any platform and lets you start your creation from scratch...
Source: www.lifewire.com
12 Best Free Photoshop Alternatives You Should Try
There are also a bunch of filters and effects that you might find useful. However, PicMonkey isn’t nearly as feature-rich as Photoshop is, and it tends to respond a little slow at times. That said, the biggest problem in PicMonkey is that unless you subscribe to a pro subscription, you’ll not be able to export your images..
Source: beebom.com

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 seems to be more popular. 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.

PicMonkey mentions (0)

We have not tracked any mentions of PicMonkey yet. Tracking of PicMonkey recommendations started around Mar 2021.

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 PicMonkey and Pandas, you can also consider the following products

Canva - Canva is a graphic-design platform with a drag-and-drop interface to create print or visual content while providing templates, images, and fonts. Canva makes graphic design more straightforward and accessible regardless of skill level.

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

Marq - Marq (formerly Lucidpress) is a web-based design and layout application that enables anyone to create beautiful creatives

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

Piktochart - Piktochart for Business Storytelling

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

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