We render jupyter notebooks, markown and html - we dont host running jupyter environments -> but we focus on making the experience of sharing with non-techies on your team easy. So can show/hide the code, get comments etc.
Hello all ! I'm Eoin one of the co-founders of Kyso. We are a small, fast growing, venture funded (Lunar Ventures & Techstars NYC) startup based in Valencia, Spain. Our stack is a typical MongoDB/Node.js backend with a Next.js/React.js frontend.
Kyso is a company’s central data insights hub where data scientists can post reports in a way that everyone on the team can read and learn from them. We are compatible with all the common data science tools, yet make the reports readable for non-technical people - bridging the gap between the data team and the rest of the company. Kind of like Notion (or Confluence), but for data analysis. 2/3 founders already have an exit - so this isn't our first rodeo.
It’s our first hire (equity included) so if you want to get into a fast growing startup early - please apply!
Hello all ! I'm Eoin one of the co-founders of Kyso. We are a small, fast growing, venture funded (Lunar Ventures & Techstars NYC) startup based in Valencia, Spain. Our stack is a typical MongoDB/Node.js backend with a Next.js/React.js frontend.
Kyso is a company’s central data insights hub where data scientists can post reports in a way that everyone on the team can read and learn from them. We are compatible with all the common data science tools, yet make the reports readable for non-technical people - bridging the gap between the data team and the rest of the company. Kind of like Notion (or Confluence), but for data analysis. 2/3 founders already have an exit - so this isn't our first rodeo.
It’s our first hire (equity included) so if you want to get into a fast growing startup early - please apply!
At Kyso [1] we let you do this (I'm one of the founders) - you can run Jupyterlab online and start servers inside Jupyterlab that you can share with the world (Jupyterlab will run on instance-id.cloud.kyso.io).
You can install viola and then just run it on port 8000 from within the jupyterlab terminal and you can share the url with anyone (it will be instance-id-8000.cloud.kyso.io)
We're actually thinking of supporting Viola natively in the next few weeks, what kind of app do you want to run?
These iPhone price graphs would be better if they accounted for inflation - which still shows a large increase in price, especially if you look at the flagship phones.
And you need to pay an absolute premium for this pricacy - I've plotted the price of iPhone prices increase here and even after adjusting for inflation the price growth is really high. Especially if you look at the flagship phones
At Kyso [1] we are really concerned about climate change and environmental damage in general - one of my co-founders actually started as an environmental scientist. We make tools to make data-visualisations easier using Jupyter but we've been wanting for the last few weeks to really focus the content that we write on climate change, from a data point of view.
I'm wondering does anyone here have experience with this - where do you source data-sets, what kind of charts have the most impact on people - is this even worth doing?
At Kyso (https://kyso.io) we see a lot of people get hired into data-science jobs and the biggest success factor that I've personally seen is having some example's of projects that the candidate has worked on. This can be either public projects online (thats what we started Kyso to help with!) or a description of a project they worked on while studying/working.
Something I've noticed about data-science candidates is that they are very happy to jump into the technical details of an implemented model - but sometimes struggle on is communicating the reasons for the model in the first place and how it can help the company/research project. A lot of data-science projects are smaller ad-hoc jobs where the data scientist is trying to answer some business question and here communication is a vital skill.
The UK currently has larger complaint numbers than France or Germany [1] at around 6,000-16,000 each which is weird, but it does show that many people are taking individual privacy rights seriously
Im not sure - we have large teams using Kyso as a knowledge base for data-science work and there's also Airbnb's knowledge-repo which originally inspired us so from my point of view there is decent evidence for the need for this
This is a really good idea, and I've been planning to write said guide for a while.
I think there is a lot to do with organising and formatting the notebooks, and the %run command works a treat for me when breaking a project into multiple notebooks
Ah yeah ok - we are not planning GPU support soon - what if we created one of those one-click deploy a VM to aws/digital-ocean buttons and from there if you wanted to post to Kyso you could do it with git or our jupyter lab plugin.
You get most of the same experience and you can even customise various of the steps?
Mostly so you don't need to convert to PDF and so that you can host the reports in a central place where everyone can read them technical or not.
Like an internal wiki for a companies data-science where the technical people can communicate their work to the non-technical people with a pretty seamless experience
https://about.kyso.io/
We render jupyter notebooks, markown and html - we dont host running jupyter environments -> but we focus on making the experience of sharing with non-techies on your team easy. So can show/hide the code, get comments etc.