Based on our record, Standard Notes should be more popular than Deepnote. 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 / 2 months ago
Standard Notes - Fully Private and Secure with Multiple different Editors and Backup options including Self hosting. Source: 5 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 / 5 months ago
Standard Notes (version 3.178.0): An end-to-end encrypted note-taking app for digitalists and professionals. Source: 7 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 / 9 months ago
Deepnote - A new data science notebook. Jupyter is compatible with real-time collaboration and running in the cloud. The free tier includes unlimited personal projects, up to 750 hours of standard hardware, and teams with up to 3 editors. - Source: dev.to / 3 months ago
We looked into many of these issues with Deepnote (YC S19) [https://deepnote.com/]. What we found is that these are not necessarily problems of the underlying medium (a notebook), but more of the specific implementation (Jupyter). We've seen a lot of progress in the Jupyter ecosystem, but unfortunately almost none in the areas you mentioned. - Source: Hacker News / 11 months ago
Upload your ipynb to Deepnote and publish as an app. That simple. https://deepnote.com. - Source: Hacker News / about 1 year ago
Using Deepnote, we'll create a Python notebook and upload the two GeoJSON files into a data directory. - Source: dev.to / over 1 year ago
Deepnote - A new kind of data science notebook. Jupyter-compatible with real-time collaboration and running in the cloud. Free tier includes unlimited personal projects, up to 750 hours of standard hardware and teams with up to 3 editors. - Source: dev.to / over 1 year 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.
Amazon SageMaker - Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.
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.
Apache Zeppelin - A web-based notebook that enables interactive data analytics.
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.
Saturn Cloud - ML in the cloud. Loved by Data Scientists, Control for IT. Advance your business's ML capabilities through the entire experiment tracking lifecycle. Available on multiple clouds: AWS, Azure, GCP, and OCI.