OpenCV
Pandas
Scikit-learn
NumPy
Dataiku
Exploratory
htm.java
Figure Eight
Apache Superset
Grafana
Metabase
Tableau
Microsoft Power BI
Looker
LinceBI
Tableau Public
OpenCV Apache SupersetApache Superset might be a bit more popular than OpenCV. We know about 52 links to it since March 2021 and only 51 links to OpenCV. 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.
Open the camera feed — and use the OpenCV library for real-time computer vision processing. - Source: dev.to / 27 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: 7 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
We are looking at moving our Power BI stuff to Apache Superset [1]. How does this compare to Superset? [1] https://superset.apache.org/. - Source: Hacker News / about 1 month ago
Do you have any thoughts on Superset? Did you consider it as a candidate? For anyone who doesn't know: https://superset.apache.org/ (There's at least one service that offers managed Superset hosting if that's what you're looking for; it's easy to find so I won't link it here.). - Source: Hacker News / 6 months ago
Recently I discovered BigQuery public datasets - just over 200 datasets available for directly querying via SQL. I think this is a great thing! I can connect these direct to an analytics platform (we use Apache Superset which uses Python SQLAlchemy under the hood) for example and just start dashboarding. Source: 11 months ago
If they don't want to pay for powerbi, can try something like https://superset.apache.org/. Source: 12 months ago
In today's fast-paced data-driven world, organizations must analyze data in real-time to make timely and informed decisions. Real-time data analytics enables businesses to gain valuable insights, respond to real-time events, and stay ahead of the competition. Also, the analytics engine must be capable of running analytical queries and returning results in real-time. In this article, we will explore how you can... - Source: dev.to / about 1 year ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Grafana - Data visualization & Monitoring with support for Graphite, InfluxDB, Prometheus, Elasticsearch and many more databases
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Metabase - Metabase is the easy, open source way for everyone in your company to ask questions and learn from...
NumPy - NumPy is the fundamental package for scientific computing with Python
Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
