![]() ![]() Kibana's main developer is always experimenting around new ways of looking into data. The main competitor of Kibana is Grafana, but is way way way specialized in timeseries data (exclusively). Is not pertinent in this particular case but it's a good move in the direction of supporting broader backends than elasticsearch only. With the addition of Timelion they added support for other sources of data. Kibana is quite awesome and extremely expandable with plugins. ![]() I find pointless trying to fit code in a cell that maybe just displays a two digit number. I think using the new layout of jupyterlab the cell code should be written separately from the dashboard visualization. In a dashboard layout, modifications should be made to the markdown renderer to render the h1 and h2 elements aligned to the center. This is an excellent reason alone to use elements of a fixed proportion, this way the user is not stuck in a loop between moving the widgets around changing their content height/width ratio.ĭashboards by their nature have a lot of empty space and generally require dark low-contrast colors to not tire the eye too much. Many popular data-science graph utility output static images, and their width/height ration can be changed only in the cell code. The appearance and position of the title should be standardized to be easy to find. Widgets in a dashboard are useless without a title or description of sorts. 4k TVs are very cheap, 4k monitors still expensive and uncommon.Ī few dashboard framework just display gigantic widget on such screens and do not use all the available resolution. I've seen a few projects try to get dashboard developed as a content for a page fit into a fullscreen layout, and it gets messy quite easily.ĭeveloping a dashboard on a 1080p display and showing it in a 4k display is not uncommon nowadays. A limited number of square-rectangular big tiles, like Dashing and Mozaik.ĭashboards are nearly always used at full width, often fullscreen.This is a compromise between flexibility for the user and a clear layout. Each element occupies about 20-30 "squares" of the grid. Places on a thin grid, such as Datadog does.Basically free, as the actual Jupiter dashboards implementation.Most dashboarding frameworks and software can be divided based on how they manage the space on the screen/paper. Working on multiple projects that are basically glorified dashboard I have a few general insights I want to dump here. Does anyone have critiques for the original jupyter dashboard?.How easy/hard is to port the code from jupyter to jupyterlab ?.Getting Started tip: This option can be left blank if you don’t understand what it is for.A couple of questions to start the discussion: Slurm is the job scheduler used by both CANNON and FASSE. Getting Started tip: This option can be left blank if you don’t understand what it is for. Full path of script to be executed before launching Jupyter (optional) Use the Select Path button to choose the path on the cluster (not on your local computer). Getting Started tip: Use JupyterLab unless you have a compelling reason to use Jupyter Notebook. The checkbox lets you specify that you want to launch JupyterLab rather than Jupyter Notebook. ![]() Here are the cluster resource options and any IQSS “Getting Started” recommendations for Jupyter Notebook / JupyterLab: Use JupyterLab instead of Jupyter Notebook? Cluster resources that are specific to Jupyter Notebook/JupyterLab Getting Started tip: The settings you specified the last time you launched the application are saved and appear as “defaults” when you return to the page. This document covers the resources that are specific to the application.įor information about the resources that are common to any application (Partition, Memory, Cores, runtime, and GPUs), please see IQSS: How to Specify Resources and Choose a Cluster Partition. The dashboards on CANNON and FASSE let you run Jupyter Notebook/JupyterLab. ![]()
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