Odysee
YouTube
PeerTube
LBRY
DTube
Vimeo
BitChute
Rumble
Deepnote
Apache Zeppelin
Saturn Cloud
Amazon SageMaker
Databricks Unified Analytics Platform
Azure Synapse Analytics
Google BigQuery
GeoSpock
Odysee
DeepnoteOdysee is a truly a big competitor of YouTube. No annoying ads and smooth flow of videos is a big plus of this platform. Highly recommended!!
Based on our record, Odysee seems to be a lot more popular than Deepnote. While we know about 483 links to Odysee, we've tracked only 34 mentions of Deepnote. 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.
For anyone without an iPhone or doesn't want to install the app you can see a demo here: https://odysee.com/@techlore:3/permission-not-required-the-open-source:3 https://www.youtube.com/watch?v=_n_SpEWtqog https://inv.nadeko.net/watch?v=_n_SpEWtqog https://techlore.tv/w/d7dh4P7y4dVngNoL7u7s3B. - Source: Hacker News / about 1 month ago
We cannot carve and move rocks and dirt like they did: https://odysee.com/@hiddenincatours:3/megalithic-saqsaywaman-in-peru-2-2:e. - Source: Hacker News / about 1 month ago
I have never purchased Monero anonymously, I just buy it straight from fiat on Kraken. What I do: Fiat-->Kraken-->Monero-->Self-custody Monero Wallet If you don't want anyone to know you purchased Monero(which is not necessary for most people because once you have the Monero, it's untraceable and all anyone can know is that you bought Monero, similar to how anyone can know you have cash once you withdraw from the... - Source: Hacker News / about 2 months ago
As explained here[1], HIPPA makes our medical privacy worse, not better. [1] https://www.youtube.com/watch?v=4sfIBRTcRpU https://odysee.com/@NaomiBrockwell:4/HIPAA:7. - Source: Hacker News / 2 months ago
HIPAA makes our medical privacy worse, unfortunately. (https://odysee.com/@NaomiBrockwell:4/HIPAA:7). - Source: Hacker News / 3 months 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
YouTube - Our mission is to give everyone a voice and show them the world.
Apache Zeppelin - A web-based notebook that enables interactive data analytics.
PeerTube - Federated (ActivityPub) video streaming platform using P2P (BitTorrent) directly in the web browser...
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.
LBRY - Meet LBRY, a content sharing and publishing platform that is decentralized and owned by its users.
Amazon SageMaker - Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.