Software Alternatives & Reviews

Pandas VS OpenCV

Compare Pandas VS OpenCV and see what are their differences


Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

OpenCV (Open Source Computer Vision) is a library of programming functions for real time computer...
Pandas Landing Page
Pandas Landing Page
OpenCV Landing Page
OpenCV Landing Page

Pandas details

Categories
Data Science And Machine Learning Data Dashboard Data Science Tools
Website pandas.pydata.org  

OpenCV details

Categories
Data Science And Machine Learning Data Dashboard Data Science Tools
Website opencv.org  

Pandas videos

Ozzy Man Reviews: Pandas

More videos:

  • - Ozzy Man Reviews: PANDAS Part 2
  • - Trash Pandas Review with Sam Healey

OpenCV videos

AI Courses by OpenCV.org

More videos:

  • - Practical Python and OpenCV

Category Popularity

0-100% (relative to Pandas and OpenCV)
48
48%
52%
52
52
52%
48%
48
58
58%
42%
42

Reviews

These are some of the external sources and on-site user reviews we've used to compare Pandas and OpenCV

Pandas Reviews

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

OpenCV Reviews

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

Social recommendations and mentions

Based on our record, Pandas should be more popular than OpenCV. It has been mentiond 50 times since March 2021. We are tracking product recommendations and mentions on Reddit, HackerNews and some other platforms. They can help you identify which product is more popular and what people think of it.

Pandas mentions (50)

  • How to use Spark and Pandas to prepare big data
    We’ve learned a lot while setting up Spark on AWS EMR. While this post will focus on how to use PySpark with Pandas, let us know in the comments if you’re interested in a future article on how we set up Spark on AWS EMR. - Source: dev.to / about 4 hours ago
  • How To Access And Query Your Amazon Redshift Data Using Python And R
    Pandas is a widely-used data analysis library in Python. It provides a high-performance data structure called DataFrame for working with table-like structures. - Source: dev.to / 1 day ago
  • Student assignment, need some help..
    If you really want though, you can easily load excel documents into python using Pandas. (A quick tutorial is available here: https://datatofish.com/read_excel/). - Source: Reddit / 5 days ago
  • Top 10 Python Libraries for Machine Learning
    Website: https://pandas.pydata.org/ Github Repository: https://github.com/pandas-dev/pandas Developed By: Community Developed (Originally Authored by Wes McKinney) Primary Purpose: Data Analysis and Manipulation. - Source: dev.to / 13 days ago
  • How does everyone in my PhD cohort have a car? I don't get how people had the savings to buy nice cars right after undergrad. Does everyone have wealthy parents??
    Take a python course at your uni if you are just starting or you can self start with a project in mind. After you feel comfortable with python learn how to use numpy and pandas by playing around in a jupyter notebook. After that learn how to create GUIs with pyqt5 in QTdesigner. Then it's just learning how to make it do math properly once and you're making programs before you know it. It's also useful to learn... - Source: Reddit / 23 days ago
View all

OpenCV mentions (11)

  • Top 10 Python Libraries for Machine Learning
    Website: https://opencv.org/ Github Repository: https://github.com/opencv/opencv Developed By: initially by Intel Corporation Primary purpose: Only focuses on Computer Vision OpenCV. - Source: dev.to / 13 days ago
  • Boxbox has programmed an AI to play Janna support
    (Feel free to read some documentation/tutorials over at https://opencv.org/). - Source: Reddit / 18 days ago
  • Need a guide for Astrophotography in Linux
    Depending on what you need and how hardcore you are, you could use OpenCV. Then again, OpenCV is overkill in most cases where you don't have 100.000+ images that need processing in a very specific way. - Source: Reddit / 18 days ago
  • First Python Project Tips
    A classmate of mine back in the day made a rig that would automate the deadbolt on their front door. Obviously there are physical security concerns here but it would probably use an embedded board (Arduino or otherwise) and a servo (basis of a lot of robotics). If memory serves, they also tried hooking up a webcam to use OpenCV to do facial recognition as well. - Source: Reddit / about 2 months ago
  • What are some of the best open source AI frameworks/libraries
    OpenCV - The bread and butter of computer vision. Enough said. - Source: Reddit / 3 months ago
View more

What are some alternatives?

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

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

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

Dataiku - Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.

WEKA - WEKA is a set of powerful data mining tools that run on Java.

Exploratory - Exploratory enables users to understand data by transforming, visualizing, and applying advanced statistics and machine learning algorithms.

htm.java - htm.java is a Hierarchical Temporal Memory implementation in Java, it provide a Java version of NuPIC that has a 1-to-1 correspondence to all systems, functionality and tests provided by Numenta's open source implementation.

User reviews

Share your experience with using Pandas and OpenCV. For example, how are they different and which one is better?

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