Pimcore is an open-source software platform used by more than 110 000 companies worldwide. It offers state-of-the-art digital asset management (DAM), product information management (PIM), master data management (MDM), digital experience management (DXP/CMS), multi-channel publishing, and digital commerce. Acclaimed by analysts at Gartner and Forrester, its customers include Fortune 100 companies such as Pepsi, Sony, and Audi. The company's headquarters are in Salzburg, Austria.
Pimcore’s consolidated platform enables organizations to manage product information, digital assets, digital commerce, and web content in a consolidated setup, thus empowering them with a single ‘trusted view’ of information and delivering a superior product experience to their customers across multiple touchpoints.
What makes Pimcore a great open-source alternative to proprietary, closed-source software is its incredible flexibility, 100% API-driven architecture, composable technology, speed-to-market, plus the momentum of 150+ global solution partners. The Pimcore Platform™ is loved by developers, agencies, and enterprises. For more information, please visit pimcore.com.
Based on our record, OpenCV seems to be a lot more popular than Pimcore. While we know about 52 links to OpenCV, we've tracked only 2 mentions of Pimcore. 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.
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 / 14 days ago
Open the camera feed — and use the OpenCV library for real-time computer vision processing. - Source: dev.to / about 1 month ago
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 / 7 months ago
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
- [ OpenCV](https://opencv.org/) instead of YoloV8 for computer vision and object detection. Source: 11 months ago
Also, I have Pimcore up and running on AWS as well too .. https://pimcore.com/en. Source: over 2 years ago
Pimcore, by definition, is an open-source digital experience platform with superb data management capabilities. Source: almost 3 years ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Syndigo Content Experience Hub - Content Experience Hub Your end-to-end solution to collect, create, enrich, manage, syndicate, and analyze all your digital assets, Core Marketing, and Enhanced product content. Request [...]
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Boomi - The #1 Integration Cloud - Build Integrations anytime, anywhere with no coding required using Dell Boomi's industry leading iPaaS platform.
NumPy - NumPy is the fundamental package for scientific computing with Python
Akeneo - Akeneo is an open-source Product Information Management solution.