Deepnote VS Asklayer
Compare Deepnote VS Asklayer and see what are their differences
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Deepnote
Amazon SageMaker
Apache Zeppelin
Saturn Cloud
Databricks Unified Analytics Platform
Google BigQuery
Azure Synapse Analytics
GeoSpock
Asklayer
Ask User
Doorbell.io
Survey Monkey
buddybuild
Google Forms
Qualtrics
SurveySparrow
Deepnote AsklayerNo Asklayer videos yet. You could help us improve this page by suggesting one.
Asklayer's answer:
Asklayer is built by a team of experts from Japan and was created out of frustration with low response rates associated with traditional surveys. We found that most users hate surveys, however they are willing to answer a few questions.
So we created Asklayer, a micro-survey tool that presents itself as simple questions to the user to reduce friction and increase response rates. Unlike traditional surveys we collect data after every question so even if the user abandons part way, you still get answers and a measure of the drop-off point.
The results of all these efforts is a much better user experience, a greatly increased response rate and a much greater total volume of data collected.
Asklayer's answer:
It's flexible and does most things well. Support is amazing, they even added a feature for me!
Got a really high response rate. I used this in tandem with Promolayer on my EC site for CRO. I did a 'whats missing from this product description' type survey + post purchase + product follow-up email and frankly, it's been amazing. I spent about 2 years trying to figure out my direction via analytics and heatmapping when I should have just been talking to my users the whole time.
Based on our record, Deepnote seems to be more popular. It has been mentiond 32 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.
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 / about 1 year 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
Amazon SageMaker - Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.
Ask User - User surveys without stress
Apache Zeppelin - A web-based notebook that enables interactive data analytics.
Doorbell.io - Collect in-app user feedback. Available on websites, iOS, and Android.
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.
Survey Monkey - Create and publish online surveys in minutes, and view results graphically and in real time. SurveyMonkey provides free online questionnaire and survey software.