
Swimm
Mintlify
Docusaurus
GitBook
ReadMe
CodeRabbit
Archbee.io
DocuWriter.ai
Deepnote
Apache Zeppelin
Saturn Cloud
Amazon SageMaker
Databricks Unified Analytics Platform
Azure Synapse Analytics
Google BigQuery
GeoSpock
SwimmBased on our record, Deepnote seems to be a lot more popular than Swimm. While we know about 34 links to Deepnote, we've tracked only 3 mentions of Swimm. 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.
The tools built for this are good at it. Swimm, Confluence, Notion, a decent internal wiki, an afternoon of recorded walkthroughs. The whole category exists to move the contents of a person's head into a form the organisation can read later, and for tacit knowledge that is the right move. There is a reason it so rarely happens, and it is not that teams do not care. It is that the person holding the knowledge does... - Source: dev.to / 2 months ago
Swimm AI is the tool you wish you had when you inherited that legacy codebase. Its AI tracks code updates and automatically suggests or applies doc changes, so your docs never get left behind (unlike that one deprecated endpoint). - Source: dev.to / 9 months ago
[1] An exple for code documentation is https://swimm.io/. - Source: Hacker News / over 3 years ago
Thank you for the list - I think I've come across all of these in my research! I'll try highlight the differences for each. - https://noteable.io/ - as you say, it doesn't exist anymore - https://deepnote.com - I actually mentioned this in the post but in my experience, the UX and features far behind what we've built already. I'd love to hear from anyone who's tried jupyter-ai to give us a shot and let me know... - Source: Hacker News / about 2 years ago
- https://deepnote.com -- also extensive AI integration and realtime collaboration. - Source: Hacker News / about 2 years 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 / over 2 years 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 / about 3 years ago
Upload your ipynb to Deepnote and publish as an app. That simple. https://deepnote.com. - Source: Hacker News / over 3 years ago
Mintlify - The AI-powered documentation writer. It's documentation that just appears as you build
Apache Zeppelin - A web-based notebook that enables interactive data analytics.
Docusaurus - Easy to maintain open source documentation websites
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.
GitBook - Modern Publishing, Simply taking your books from ideas to finished, polished books.
Amazon SageMaker - Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.