JASP VS OpenCV

JASP

JASP, a low fat alternative to SPSS, a delicious alternative to R.

OpenCV

OpenCV is the world's biggest computer vision library

Landing page //
2023-05-08

Landing page //
2023-07-29

Introducing JASP

OpenCV videos

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AI Courses by OpenCV.org

Category Popularity

0-100% (relative to JASP and OpenCV)

OpenCV

Technical Computing

100 100%

Technical Computing

0% 0

Data Science And Machine Learning

6 6%

Data Science And Machine Learning

94% 94

Business & Commerce

100 100%

Business & Commerce

0% 0

Data Science Tools

0 0%

Data Science Tools

100% 100

User comments

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

Reviews

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

JASP Reviews

Free statistics software for Macintosh computers (Macs)

JASP and Jamovi share lightning-fast speed; a wide range of statistics, with extra plugins on Jamovi; and easy installation on Macs, Windows, and Linux. Their basic interface has an Office 365-style open/save/print/export tab; options on the left, output on the right layout; instant changes to the output if you change the input; and export of both data and output, as...

Source: www.macstats.org

10 Best Free and Open Source Statistical Analysis Software

Jeffreys’s Amazing Statistics Program (JASP) came into existence as a free and open source alternative to SPSS with powerful Bayesian analyses as its core feature. It has a user-friendly interface. Results are annotated with descriptive text to make analysis easy.

Source: www.goodfirms.co

25 Best Statistical Analysis Software

This versatile, free, and open-source statistical software is specifically designed to cater to the needs of researchers and students. With its user-friendly interface, JASP makes data analysis and visualization more accessible and efficient.

Source: www.scijournal.org

OpenCV Reviews

7 Best Computer Vision Development Libraries in 2024

From the widespread adoption of OpenCV with its extensive algorithmic support to TensorFlow's role in machine learning-driven applications, these libraries play a vital role in real-world applications such as object detection, facial recognition, and image segmentation.

Source: www.labellerr.com

10 Python Libraries for Computer Vision

OpenCV is the go-to library for computer vision tasks. It boasts a vast collection of algorithms and functions that facilitate tasks such as image and video processing, feature extraction, object detection, and more. Its simple interface, extensive documentation, and compatibility with various platforms make it a preferred choice for both beginners and experts in the field.

Source: clouddevs.com

Top 8 Alternatives to OpenCV for Computer Vision and Image Processing

OpenCV is an open-source computer vision and machine learning software library that was first released in 2000. It was initially developed by Intel, and now it is maintained by the OpenCV Foundation. OpenCV provides a set of tools and software development kits (SDKs) that help developers create computer vision applications. It is written in C++, but it supports several...

Source: www.uubyte.com

Top 8 Image-Processing Python Libraries Used in Machine Learning

These are some of the most basic operations that can be performed with the OpenCV on an image. Apart from this, OpenCV can perform operations such as Image Segmentation, Face Detection, Object Detection, 3-D reconstruction, feature extraction as well.

Source: neptune.ai

5 Ultimate Python Libraries for Image Processing

Pillow is an image processing library for Python derived from the PIL or the Python Imaging Library. Although it is not as powerful and fast as openCV it can be used for simple image manipulation works like cropping, resizing, rotating and greyscaling the image. Another benefit is that it can be used without NumPy and Matplotlib.

Source: towardsdatascience.com

Social recommendations and mentions

Based on our record, OpenCV should be more popular than JASP. It has been mentiond 50 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.

JASP mentions (14)

Introduction to Modern Statistics
Anyone looking to apply and compare frequentist and bayesian methods within a unified GUI (which is essentially an elegant wrapper to R and selected/custom statistical packages), should check out JASP developed by the University of Amsterdam [0]. It's free to use, and the graphs + captions generated on each step are of publication quality out of the box. Using it truly feels like a 'fresh way' to do... - Source: Hacker News / 7 months ago
Can anyone share spss for macOS?
Https://jasp-stats.org fully free. Its advisible to learn python, R or matlab for graduate school. Source: 10 months ago
Help with my analysis in spss. I have 5 independent (ordinal) variables. 1 Moderator and 1 dependent variable. How do I run a multiple regression in SPSS?
Also for alternative software that are much easier to use take a look at JASP or jamovi (both are very similar); and as a bonus, neither of these two will require you to manually add product variables to your dataset. Source: 11 months ago
[D] Discussion: R, Python, or Excel best way to go?
If you have no access to SPSS (or SAS, or JMP), then look into JASP (https://jasp-stats.org/). I've only just touched that. One thing I believe is that JASP (as well as JMP) will allow/block off tests and analyses depending on the nature of each column. This means that, for example, if you have groups A, ..., Z, the software will treat those as non-numbers, which can only be used as inputs for variables which... Source: about 1 year ago
[Q] Advice on JMP versus R
If you're looking for a stop-gap Stats software while you learn R, try JASP. It's a free statistical analysis software which runs on R. Https://jasp-stats.org/. Source: about 1 year ago

OpenCV mentions (50)

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
Looking for a Windows auto-clicker with conditions
You might be able to achieve this with scripting tools like AutoHotkey or Python with libraries for GUI automation and image recognition (e.g., PyAutoGUI https://pyautogui.readthedocs.io/en/latest/, OpenCV https://opencv.org/). Source: 5 months ago
Looking to recreate a cool AI assistant project with free tools
- [ OpenCV](https://opencv.org/) instead of YoloV8 for computer vision and object detection. Source: 9 months ago
Looking to recreate a cool AI assistant project with free tools
I came across a very interesting [project]( (4) Mckay Wrigley on Twitter: "My goal is to (hopefully!) add my house to the dataset over time so that I have an indoor assistant with knowledge of my surroundings. It’s basically just a slow process of building a good enough dataset. I hacked this together for 2 reasons: 1) It was fun, and I wanted to…" / X ) made by Mckay Wrigley and I was wondering what's the easiest... Source: 9 months ago
What are the limits of blueprints?
You also need C++ if you're going to do things which aren't built in as part of the engine. As an example if you're looking at using compute shaders, inbuilt native APIs such as a mobile phone's location services, or a third-party library such as OpenCV, then you're going to need C++. Source: 12 months ago