OpenCV
Pandas
Scikit-learn
NumPy
Dataiku
Exploratory
htm.java
Figure Eight
Pinecrow
Infotools Harmoni
KnowledgeHound
Pimcore
Neddick Enterprise
Microsoft Power BI
REPODS
Flexmonster
Pinecrow is designed to make life easier for Market Researchers through our two flagship solutions:
1) Survey insights: Pinecrow connects with all major survey execution platforms like Qualtrics, FocusVision Decipher and SurveyMonkey to automatically transform your survey response data to a centralized analytical database. Anyone within your organization can use a simple search, just like a Google search engine to find the right data and insights even from surveys that were done several years ago and long forgotten. Researchers can now spend less time in finding and processing data and more time in generating insights. Pinecrow also comes with automatic visualizations, nested crosstabs and guided statistical analysis and supports both quantitative and qualitative data. You can dive deeper on what matters most from each research project, as well as connect the dots across multiple surveys to reveal hidden connections with new insights to inspire action.
2) Survey management: Pinecrow is the only project management solution for Market Research available in the market that helps streamline your processes and projects. You can leverage our curated templates and build your entire survey workflow with just a few clicks. We have all the tools necessary to plan, organize, track and scale your survey workflows and all other market research activities within the same platform. It has never been so easy to manage dependent, overlapping, and unscheduled tasks.
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Based on our record, OpenCV seems to be more popular. It has been mentiond 52 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.
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
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Infotools Harmoni - Cloud-based market research analysis and data visualization
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
KnowledgeHound - Data discovery and visual analytics to create a more agile, customer driven organization
NumPy - NumPy is the fundamental package for scientific computing with Python
Pimcore - Pimcore is an award-winning data management and customer experience management software.