Drag-and-Drop
Web Dashboard Design
in JupyterLab
enterprise_galyleo_logo

Introducing enterprise Galyleo, the perfect solution for teams. A fully customized JupyterHub with engageLively’s unique Galyleo Dashboard Studio. Enterprise Galyleo offers arbitrary extensibility in hardware, software, memory, and storage, all presented through the familiar JupyterLab interface.   Add any executables or libraries you want; install libraries for custom access to enterprise data sources.  Add database connectors, source code connections, and ask us for incorporation of new applications.

Available Server Types

Basic

TensorFlow

Datascience (Julia+Python+R)

Spark

Scientific
(Jupyter + SciPy Tools)

INTERACTIVE
DASHBOARD DEMO

Build interactive Dashboards using Galyleo in JupyterLab.

Sign up to create your own dashboards at https://galyleo.engagelively.com,

and check out the sample dashboards repo at https://github.com/engageLively/galyl…

Pricing

We have configured these tiers to ensure you get the most out of your servers.

Free Tier

$0 /Month

  • CPU/Server: 0.5
    Ram/Server: 1 GB
    Storage/User: 25 GB
  • Galyleo Connect ✔
    Galyleo Studio ✔
    Data Science Env. ✔
    TensorFlow Environment ✔
    Apache Spark Env. ✔
    Scientific Computing Env. ✔
    ML Modelling Support ✖
    Live Chat Support ✖
    Enterprise SSO integration ✖
    Customizable Environments ✖
    Configurable extensions ✖
  • > Maximum duration for server: ➍ hours

Lite Tier

$20 /Month

  • CPU/Server: 1
    Ram/Server: 4 GB
    Storage/User: 50 GB
  • Galyleo Connect ✔
    Galyleo Studio ✔
    Data Science Env. ✔
    TensorFlow Environment ✔
    Apache Spark Env. ✔
    Scientific Computing Env. ✔
    ML Modelling Support ✖
    Live Chat Support ✖
    Enterprise SSO integration ✖
    Customizable Environments ✖
    Configurable extensions ✖
  • > No limit on server duration

Pro Tier

$50 /Month

  • CPU/Server: 2
    Ram/Server: 32 GB
    Storage/User: 1 TB
  • Galyleo Connect ✔
    Galyleo Studio ✔
    Data Science Env. ✔
    TensorFlow Environment ✔
    Apache Spark Env. ✔
    Scientific Computing Env. ✔
    ML Modelling Support ✔
    Live Chat Support ✔
    Enterprise SSO integration ✖
    Customizable Environments ✖
    Configurable extensions ✖

enterprise Tier

CALL US /for pricing

  • unlimited users
    CPU/Server: Customer-specified
    Ram/Server: Customer-specified
    Storage/User: Customer-specified
  • Galyleo Connect ✔
    Galyleo Studio ✔
    Data Science Env. ✔
    TensorFlow Environment ✔
    Apache Spark Env. ✔
    Scientific Computing Env. ✔
    Statistics Support* ✔
    ML Modelling Support* ✔
    Live Chat Support* ✔
    Enterprise SSO integration ✔
    Customizable Environments ✔
    Configurable extensions ✔
    * Optional add-on.

Cloud Hosting

$29.99 /Month

The maximum duration of the Free Tier server is 4 hours.
Please upgrade to the Lite Tier to remove the time limit.

A Galyleo Hub is a Jupyter Hub where each server comes with a built-in drag-and-drop editor integrated into JupyterLab for web-hosted dashboards that work seamlessly with your Jupyter Notebook.  Galyleo’s  environments, from Scientific Computing to Big Data to Machine Learning and more, are standards-compliant open-source Jupyter Servers.

Customers

anaconda logo

Features

Galyleo Dashboard comes equipped with some of the best features in the industry.

Machine Learning, Scientific Computation, Data Science, or Big DataSpark

any browser, any device

Fully Customizable Environment

Storage Included

Terminal and Console Included

Import any library with pip

Python, Julia, R runtimes

Authenticate with Google

built-in dashboard editing

DRAG-AND-DROP VISUAL DASHBOARD DESIGN

ONE-CLICK DASHBOARD PUBLISH TO WEB

PANDAS IN EVERY ENVIRONMENT

Gallery

FAQ

Yes.  Galyleo is released under a BSD 3-clause license.

The connection between the dashboard and the kernel is given by the Galyleo client, which is currently a Python module.  So if the kernel can use Python modules, it can be used today.  The Galyleo module is very simple, so we expect to implement it in other languages.  Of course, it is also open-source, and the protocol is documented; so others are free to implement this as well.

The only dependence Galyleo has on Python is the galyleo Python module.  This can be invoked from R runtimes with Reticulate and from Julia with PyCall.jl

Yes.  The dashboard’s disk and wire format is a JSON document, and the format is specified in the interchange format section.

The underlying technology is lively.next, an MIT-licensed environment for developing browser-hosted graphical, interactive applications.  You can find its repo here: Lively Next

We’ve developed, and are in beta, with  a web application which  takes the URL for a Galyleo Dashboard document as the  parameter dashboard and renders the document in the browser.  The page is at https://galyleobeta.engageLively.com/galyleo/index.html.  That page can be served from any convenient web server, on the web or on an intranet.    So publication is as easy as storing the dashboard file on any resource that has an URL (e.g., in a github repo, or for that matter Google Drive with the appropriate permissions).

Following that, on our roadmap is a feature which will drop a complete web page as a directory into your JupyterLab directory, and from there you can export it to any convenient web page.

We’ve tested it on Chrome, Firefox, Edge,  and Safari.  We believe that a keyboard and mouse or touchpad are required to get the best use out of Galyleo Studio, so we recommend the use of a computer or netbook to build dashboards.  Dashboards can be viewed on any modern browser on any device.

At the moment, Galyleo uses the Google Chart library.  We plan to extend this to a large number of charting and mapping libraries.  In principle, Galyleo can use any JavaScript/HTML5 based charting, mapping, or image library.  We will be updating Galyleo to include Chart.js, Leaflet.js (for maps, including building and campus maps), OpenLayers, and cytoscape.js (for networks and graphs).

At the moment, no, because Google Charts can’t be downloaded and served locally.  However, once we introduce other chart types, dashboards that don’t use Google Charts will be able to be run in disconnected operation.

Yes.  Just build a JSON structure corresponding to the dashboard you want to build.  In the future, the galyleo module will be extended to provide convenience API calls to do most of this.

Newchip Accelerator

The Newchip Accelerator is the leading remote global accelerator that provides founders with all of the tools and skills necessary to build, scale, and fund their startups!

Team

Rick McGeer

CEO

Founded Cadence Berkeley Labs and Softface, Inc; Brought seven products to market

Tim Braman

Director

30 Years Enterprise Software Sales Experience; Two successful Startup Exits; Led Acquisition of Softface by Ariba

Andreas Bergen

CTO

Open Source contributor; Successfully delivered large scale software system; 10+ years cloud experience.

Matt Hemmings

Lead Engineer

Core Developer, Lively.Next; Prediction Modeling and Cloud Engineering Expertise

Mahdi Biazi

Digital MKTG & Design

15+ Years of Experience in Digital Design & Marketing Communications; Two Startups Launched.

Robin Schreiber

Senior Engineer

lively.next core developer. 10 years experience with Full-Stack and Developer Tool Development.

Testimonials

"engageLively's visualization and dashboarding capabilities make Tanjos Animated Personas and the Tanjo Enterprise Brain come alive for our clients.  Using engageLively, our clients can see how the use of advanced AI impacts their business and revenue."

Richard Boyd, CEO

Tanjo.ai

"Coupling SQL or Python data management with visualization is not something that comes naturally for chemists such as myself. Building data management frameworks, cloud integration, and custom visualization is not anywhere close to my forte. Through the engageLively hub, we have made our data easily accessible, manageable and visualizable from anywhere by any of our team members. And by running the platform through Jupyter hubs, we receive the most important benefit: maximum customizability."

Roger Basu, CTO

CoreShell Technologies

"Recently HighTechU (https://hightechu.ca), an advanced outreach program of the University of Victoria’s Faculty of Engineering, began a data-analytics project with engageLively which I am co-leading. This is a particular powerful partnership due to the team’s experience in education, and their expertise and technology they bring. This platform is extremely important for education at all levels, since it permits faculty and students to interact through the platform and the data sets."

Ulrike Stege, Professor

University of Victoria

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United States