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KyleOS

Show HN: Kyso. The universal aggregator for data-driven insights. Launched

https://about.kyso.io/

Kyso’s CLI tool plugs into any data source (e.g. Github, s3, Domino). It allows users to publish any document type they want (e.g. HTML, notebooks, data apps, markdown), where they are indexed & rendered as beautiful web-based reports with comments & tasks.It is now in Product Hunt and needs your support https://www.producthunt.com/posts/kyso-2

( Read More... | no comments | 3 points | on HN )
Co-founder of Kyso here. We will be opening up the platform before the end of the year. So going forward, it will be free to teams of all sizes. If anyone is interested, feel free to reach out to me at [email protected]
Re:How to digitize your lab notebooks on Monday September 28, 2020 @09:05AM (#24616200)
Have you ever considered Kyso (https://kyso.io) (disclaimer - I'm a co-founder)? I could be way off, and it would be a corner case for us right now, but it seems we'd fit all your requirements:

* We sit on top of git, which remains the single source of truth for your code - versioning, reproducibility, etc.

* Python & R notebooks or simple markdown (also on the web app itself).

* Show or hide code.

* Simple links for sharing reports.

* Tagging.

* Comprehensive search - by tag, keyword and content (soon).

Would be really interesting to hear your thoughts on the fit.

Re:Ask HN: Who is hiring? (June 2020) on Tuesday June 09, 2020 @07:29AM (#23465624)
Data Science Template Writer - Kyso (https://kyso.io/jobs).

Kyso is a central knowledge hub for sharing and collaborating on technical reports posted by the company's data scientists, engineers & analysts, so everyone can read and learn from the generated insights.

We are in the process of building out our library of templates - these are ready-made boilerplates for various data science tasks that are designed to allow new teams to get their reports deployed as quickly as possible. An example of such templates can be found below:

https://kyso.io/Charlotte/google-analytics-api https://kyso.io/Charlotte/bigquery-ab-testing

We are looking for Content Creators to write various pieces of technical content for this template library to drive brand awareness and leads.

Reach out to me directly at [email protected] if interested!

Awesome article - I'm wondering, for "Publishing the Notebook" part of the workflow, have you ever seen Kyso (https://kyso.io) - disclaimer, I'm a founder. We started Kyso to make it easier to communicate insights gained from analysis to non-technical people by converting data science tools (e.g. Jupyter Notebooks) into conversational tools in the form of blog posts. You can make public posts or have an internal "data blog" for your team, where you push your work to Github and it is reflected on Kyso. Would love to hear your thoughts on how it could fit into existing workflows.
Re:Efficiency of Our Healthcare Systems on Tuesday July 09, 2019 @08:48AM (#20391182)
I think the opioid crisis and the structural inefficiencies of the healthcare system are 2 separate (but related) problems that both need solving.
This is particularly relevant because the EU's new Commission president has expressed pro United States of Europe sentiment in the past.
Re:Europe has had five 500-year summers in 15 years on Sunday June 30, 2019 @07:22AM (#20317661)
It's scary seeing the evolution of the effects of climate change over time. How anybody can continue to deny it is unbelievable. This [1] plots out global average temperatures since the Industrial Revolution, month by month.

[1] https://kyso.io/KyleOS/temperature

The size is a function the country's GDP, it's in the title but I should have made it clearer in the legend or with a scale.
Re:Analysis of whether IMDB ratings suffer recency bias on Friday June 07, 2019 @06:01PM (#20128997)
A recent post on the same topic: https://news.ycombinator.com/item?id=20098900
Re:Analysis of whether IMDB ratings suffer recency bias on Friday June 07, 2019 @05:17PM (#20128695)
Completely understand & I agree. Citation added.
Re:Analysis of whether IMDB ratings suffer recency bias on Friday June 07, 2019 @05:11PM (#20128650)
Hey - not OP but I wrote the article. There was a lot of discussion about recency bias in that thread, including the graph you shared and I decided to expand on the analysis. Note there are a few other graphs in my post. I did just draw this up quickly yesterday. But you're right, sorry - I should have cited your comment in my post. Adding it now.
I don't know if that is down to recency bias, but rather the sheer number of fans for that particular genre. There are not many movies in the top 50 you could reasonably make that same argument for.

Also, I'm not sure you could make that argument for IMDB's top 250 TV series [1], but maybe that's just my own preferences speaking.

[1] https://www.imdb.com/chart/toptv/

Credit to Siddharth Shukla - used his script to get the IMDB ratings (https://github.com/sid8491/imdb-tv-shows-rating).
Re:Estimating Number of Jupyter Notebooks on Github on Thursday May 09, 2019 @04:52AM (#19866504)
Well, it's one of the ways to post to Kyso, but yeah, you can synchronize your Github repositories to Kyso and choose the notebooks you want to have rendered. When you push changes to the repo, the sister post on Kyso will be automatically updated.
Re:Estimating Number of Jupyter Notebooks on Github on Wednesday May 08, 2019 @02:01PM (#19861360)
Hey, I posted the notebook by the OP. Thank you for your feedback! You're correct in saying that FB Prophet is for forecasting time series with strong seasonal effects. FB Prophet was the model used in the original script I found & the main point here was simply to make the notebook more readable on kyso, which has quite a few non-technical readers. I've worked a lot with ARIMAs before for financial/economic data and I like the idea of comparing the results between the two, and maybe even extend the time frame. So 1. I think that'll be my next project and 2. if your project is public I'd love to give it a read when published.
Re:Estimating Number of Jupyter Notebooks on Github on Wednesday May 08, 2019 @12:05PM (#19860173)
I think the file extension scraped on Github is only .ipynb, which is only python notebooks right?
Re:Estimating Number of Jupyter Notebooks on Github on Wednesday May 08, 2019 @11:53AM (#19860044)
I think it would be cool to run the same analysis on the number of R Notebooks on Github and compare the two.
And the top 5% own as much as the bottom 80%

Data is from Credit Suisse's 2018 Wealth Report

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