Deepnote
Apache Zeppelin
Saturn Cloud
Amazon SageMaker
Databricks Unified Analytics Platform
Azure Synapse Analytics
Google BigQuery
GeoSpock
SBT
GNU Make
CMake
SCons
npm
FinalBuilder
Ender
JSHint
Deepnote
SBTBased on our record, Deepnote seems to be a lot more popular than SBT. While we know about 34 links to Deepnote, we've tracked only 1 mention of SBT. 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.
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
NOTE: I wonโt mention SBT and Leiningen here because, with all due respect, they are niche build tools. I also wonโt discuss Kobalt for the same reason (besides, itโs no longer actively maintained). Additionally, I wonโt touch upon Bazel and Buck in this context, mainly because Iโm not very familiar with them. If you have insights or comments about these tools, please feel free to share them in the comments ๐. - Source: dev.to / over 2 years ago
Apache Zeppelin - A web-based notebook that enables interactive data analytics.
GNU Make - GNU Make is a tool which controls the generation of executables and other non-source files of a program from the program's source files.
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.
CMake - CMake is an open-source, cross-platform family of tools designed to build, test and package software.
Amazon SageMaker - Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.
SCons - SCons is an Open Source software construction toolโthat is, a next-generation build tool.