Composable Analytics
Jupyter
IBM ILOG CPLEX Optimization Studio
Amadea
PurpleCube
RapidMiner Studio
Pyramid Analytics
Tibco Data Science
OpenCV
Pandas
Scikit-learn
NumPy
Dataiku
Exploratory
htm.java
Figure Eight
Composable Analytics OpenCVBased on our record, OpenCV seems to be a lot more popular than Composable Analytics. While we know about 51 links to OpenCV, we've tracked only 1 mention of Composable Analytics. 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.
- Front-End UI Developers passionate about creating well-architected user interfaces and fluent in current best practices for responsive and accessible design. - Junior and Senior level Software Engineers that have the ability to work across all layers of the application, from back-end databases to the UI. - Data engineers and data scientists knowledgeable in developing and training data models and building... - Source: Hacker News / almost 3 years ago
Open the camera feed — and use the OpenCV library for real-time computer vision processing. - Source: dev.to / 24 days 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 / 6 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: 6 months ago
- [ OpenCV](https://opencv.org/) instead of YoloV8 for computer vision and object detection. Source: 11 months ago
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: 11 months ago
Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
IBM ILOG CPLEX Optimization Studio - IBM ILOG CPLEX Optimization Studio is an easy-to-use, affordable data analytics solution for businesses of all sizes who want to optimize their operations.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Amadea - Amadea is the leading integrated Data Science platform, empowering data analysts and data scientists to discover the insights that drive business success.
NumPy - NumPy is the fundamental package for scientific computing with Python
