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Based on our record, Deepnote seems to be a lot more popular than Condens.io. While we know about 32 links to Deepnote, we've tracked only 3 mentions of Condens.io. 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.
Https://dovetailapp.com/ and https://condens.io/ (both excellent and specifically focused on user research). Source: about 2 years ago
Other options include EnjoyHQ, Aurelius, and Condens. Out of those 3, I tried Condens last year and gave up on it, because the transcription quality was sub-par. When we were considering which tool to use earlier this year, the video montage option and the ability to do the analysis fully from the tool swayed us, and we ended up picking Dovetail. So it really depends on what you want the repository to do, support... Source: over 2 years ago
Look at Condens. We demo’d it last year. I like it a lot as a tool to aid in synthesis. Didn’t end up going with it because it didn’t meet all of our requirements as a team, but I was still very impressed. Source: over 3 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 / 4 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 / 12 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
Dovetail - Mobile Cloud-Based Dental Software
Amazon SageMaker - Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.
EnjoyHQ - A customer research platform for product teams
Apache Zeppelin - A web-based notebook that enables interactive data analytics.
UserBit - A full-stack qualitative research platform for UX & product teams.
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.