15 karma · joined September 4, 2013
We noticed that folks copy around code _alot_ in data science from notebook to notebook. So we built a simple way to create dynamic blocks that you can reuse across experiments.
You can think of it as a more dynamic version of Github gists that can be parameterized, commented on, documented and shared.
Youtube demo: https://youtu.be/L0SSDo4fzdM
Give it a spin for yourself! You can signup here via Magic Link: https://dolphyn.io/signup
Omkar and I have just released V1 of Dolphyn Reports. After doing a number of interviews with folks in data science and ML we learned that many resort to cut/paste and screenshotting to share notebook findings.
We built a click and drop builder to create clean, beautiful reports to share with consumers in minutes. There is a hard link between the cells in the report and the notebook, so re-running the notebook refreshes the report. Add text, re-size and re-position to create a visually appealing summary of your work.
The url has a few sample notebooks to play around with the report builder. Please let us know if you see this being useful in your workflow.
Thanks, Rohit
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This sits on top of our cloud-hosted jupyter notebooks for teams. dolphyn.io / rohit [at] to learn more.
We're working on a simple drag/drop style report builder to turn jp notebooks into shareable reports. Currently in private beta, would you be interested in trying it out? If so, please drop me a line: rohit [at] dolphyn [dot] io . Thanks!
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