Standard Notes
Joplin
OneNote
Evernote
Google Keep
Simplenote
Obsidian.md
Notion
OpenCV
Pandas
Scikit-learn
NumPy
Dataiku
Exploratory
htm.java
Figure Eight
Standard Notes OpenCVBased on our record, Standard Notes should be more popular than OpenCV. It has been mentiond 128 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.
This certainly could be useful for me personally, but it would need more functionality. I think the _full_ project could be very useful though. However I would ask, how is this different from e.g. https://standardnotes.com/ and other note systems available ? - Source: Hacker News / 4 months ago
Standard Notes - Fully Private and Secure with Multiple different Editors and Backup options including Self hosting. Source: 6 months ago
I've been using Standard Notes'[0] free tier for a while now without issues. Far superior to Evernote. And apparently EN uses your data for machine learning so they can monetize their free users. Standard operating procedure. [0] https://standardnotes.com/. - Source: Hacker News / 7 months ago
Standard Notes (version 3.178.0): An end-to-end encrypted note-taking app for digitalists and professionals. Source: 8 months ago
- How do I get my data OUT of this thing, if I decide it isn’t right for me? C) If you’re going to go down the “unlike other note-taking platforms” route, it might be valuable to explicitly help people make the comparison in terms of features/approaches/architecture/trade-offs etc. How should one compare this against [Obsidian](https://obsidian.md)? [Simplenote](https://simplenote.com)?... - Source: Hacker News / 11 months ago
Open the camera feed — and use the OpenCV library for real-time computer vision processing. - Source: dev.to / 25 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
Joplin - Joplin is a free, open source note taking and to-do application, which can handle a large number of notes organised into notebooks. The notes are searchable, tagged and modified either from the applications directly or from your own text editor.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
OneNote - Get the OneNote app for free on your tablet, phone, and computer, so you can capture your ideas and to-do lists in one place wherever you are. Or try OneNote with Office for free.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Evernote - Bring your life's work together in one digital workspace. Evernote is the place to collect inspirational ideas, write meaningful words, and move your important projects forward.
NumPy - NumPy is the fundamental package for scientific computing with Python
