Panoply VS OpenCV

OpenCV

OpenCV is the world's biggest computer vision library

Landing page //
2023-09-27

Panoply is a smart data warehouse that automates all three key aspects of the data analytics stack: data collection & transformation (ETL), database storage management, and query performance optimization. Panoply empowers anyone working with data analytics to quickly gain actionable insights on their own - without the need of IT and Engineering.

Landing page //
2023-07-29

Panoply demo: Get faster data analytics in minutes!

OpenCV videos

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Category Popularity

0-100% (relative to Panoply and OpenCV)

Panoply

OpenCV

Data Management

100 100%

Data Management

0% 0

Data Science And Machine Learning

0 0%

Data Science And Machine Learning

100% 100

Data Integration

100 100%

Data Integration

0% 0

Data Science Tools

0 0%

Data Science Tools

100% 100

User comments

Share your experience with using Panoply 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 Panoply and OpenCV

Panoply Reviews

Top 14 ETL Tools for 2023

Panoply is an automated, self-service cloud data warehouse that aims to simplify the data integration process. Any data connector with a standard ODBC/JDBC connection, Postgres connection, or AWS Redshift connection is compatible with Panoply. In addition, users can connect Panoply with other ETL tools, such as Stitch and Fivetran, to further augment their data integration...

Source: www.integrate.io

Top 5 BigQuery Alternatives: A Challenge of Complexity

Although Panoply was developed for data analysts, you don't have to be one to use it. Anyone with a good understanding of SQL can get a data pipeline up and running within a matter of minutes. This frees up your time to focus on analysis, whether you’re running queries directly in Panoply or in your favorite BI tool.

Source: blog.panoply.io

Top ETL Tools For 2021...And The Case For Saying "No" To ETL

Under the hood, Panoply uses a flexible ELT approach (rather than traditional ETL), which makes data ingestion much faster and more dynamic, since you don’t have to wait for transformation to complete before loading your data. And since Panoply builds managed cloud data warehouses for every user, you won’t need to set up a separate destination to store all the data you pull...

Source: blog.panoply.io

Top 7 ETL Tools for 2021

Panoply is an automated, self-service cloud data warehouse that aims to simplify the data integration process. Any data connector with a standard ODBC/JDBC connection, Postgres connection, or AWS Redshift connection is compatible with Panoply. In addition, users can connect Panoply with other ETL tools such as Stitch and Fivetran to further augment their data integration...

Source: www.xplenty.com

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 seems to be a lot more popular than Panoply. While we know about 52 links to OpenCV, we've tracked only 3 mentions of Panoply. 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.

Panoply mentions (3)

Connect Bing Ads to Tableau directly?
The service I used was Panoply. https://panoply.io/. Source: almost 2 years ago
Designing a whole data infrastructure from scratch
Instead of building everything from scratch, you can try https://panoply.io/. Source: about 2 years ago
Casual Friday
Thanks will check this out. Currently we are testing with https://panoply.io/ but it's expensive. Source: over 2 years ago

OpenCV mentions (52)

Essential Deep Learning Checklist: Best Practices Unveiled
How to Accomplish: Use statistical analysis tools and libraries (e.g., Pandas for tabular data) to calculate and visualize these characteristics. For image datasets, custom scripts to analyze object sizes or mask distributions can be useful. Tools like OpenCV can assist in analyzing image properties, while libraries like Pandas and NumPy are excellent for tabular and numerical analysis. To address class... - Source: dev.to / 4 days ago
FridgeBot — GPT-4o shopping list automation
Open the camera feed — and use the OpenCV library for real-time computer vision processing. - Source: dev.to / 28 days 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 / 6 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: 7 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: 11 months ago