01. Plot.ly dashboarding tool for fast quick data visualization!

Plotly creates leading open source tools for composing, editing, and sharing interactive data visualization via the Web. Our collaboration servers (available in cloud or on premises) allow data scientists to showcase their work, make graphs without coding, and collaborate with business analysts, designers, executives, and clients.

Plotly creates leading open source tools for composing, editing, and sharing interactive data visualization via the Web.

Plotly creates leading open source tools for composing, editing, and sharing interactive data visualization via the Web.

Our collaboration servers (available in the cloud or on-premises) allow data scientists to showcase their work, make graphs without coding, and collaborate with business analysts, designers, executives, and clients.

Clean, minimalist, dashboards & reports with Plot.ly

Like most data visualization products, Plot.ly looks to distinguish themselves as clean and minimal dashboarding. Starting price for students is $59/monthly starting and ending at $948/monthly.

Plot.ly commercial pricing starts at 20k for the ‘dash pricing.’

Plotly gives you the tools and examples to make beautiful dashboards and reports, even if you’re not trained in design.

02. DataHero dashboarding tool for stunning data visualization.

CREATE STUNNING DATA VISUALIZATIONS & KPI DASHBOARDS DataHero’s easy to use platform displays up-to-date business insights across all your data sources – anytime, anywhere.

DataHero’s easy to use platform displays up-to-date business insights across all your data sources – anytime, anywhere.

DataHero is a dynamic tool that enables us to easily access and analyze our data across all of these teams, allowing optimization of our strategic forecasting and efforts towards continuous customer service improvement.
– Naveed Hasan, Renesola Inc., Head of Marketing

Datahero offers a ‘no-coding’ experience in the data visualization realm. Connectors to roughly 50 different data sources. Pricing starts at $59/monthly and ends at $250/monthly. There is a limitation to the file size and the enterprise version suggest you contact them.

Like most data visualization offerings, Datahero wants you to try it in a 14-day trial.

We wonder how this will compare to later versions of Google Data Studio and excited to watch the company progress there offering into a ‘free-to-play.’

03. Chart.js data visualization code library – Chart.js is open source!

Chart.js data visualization code library. Simple yet flexible JavaScript charting for designers & developers

Chart.js data visualization code library. Simple yet flexible JavaScript charting for designers & developers

Chart.js offers 6 free data visualization open source charts. Chart.js utilizes HTML 5 canvas.

It’s easy to get started with Chart.js. All that’s required is the script included in your page along with a single <canvas> node to render the chart.

In this example, we create a bar chart for a single dataset and render that in our page. You can see all the ways to use Chart.js in the usage documentation

04. Tableau Software‘s data visualization suite.

We love Tableau because it’s easy to jump into insights and requires zero downtime for us to dive in on a data set, and make big impacts. Also, our founder, Tyler Garret, is on the main page at Tableau.com, so it’s impossible to do a ‘data visualization round up’ with out telling you about Tableau.

Tableau offers a free version, a trial version, and a few different options to allow for anyone to get involved in data analysis and sharing it across their organization.

dev3lop founder tyler on home page of tableau

Hello there! You can find Tyler’s smiling face on Tableau.com – above the community section.

Tableau Software offers several products to help share their visualizations. Tableau Desktop builds the dashboards, and then from Desktop, you can publish your data visualizations to the cloud or on-premise. The cloud is Tableau Online and on-premise is Tableau Server. Dev3lop has experience installing clustered Tableau Server and also setting up Tableau Online.

Tableau Dashboards on Google Images - showing off a bunch of dashboards built in Tableau Desktop.

Tableau Dashboards on Google Images – showing off a bunch of dashboards built in Tableau Desktop.

Tableau Desktop version 10.5 has recently released offering a new data engine and helps end users extract data from their data source. The extract process optimizes the data and helps speed up your data by 80 to 90%.

Tableau Public is a free place to publish content and is an open & free resource to post your Tableau Desktop visualizations. Tableau Desktop can be downloaded at Tableau Software’s website.

Learn about Tableau pricing in our blog post.

05. RAW Graphs is an open source data visualization tool.

What are RAW Graphs? RAW Graphs is an open source data visualization framework built with the goal of making the visual representation of complex data easy for everyone.

rawgraph gif on their website

Check out RAW Graph in action.

Primarily conceived as a tool for designers and vis geeks, RAW Graphs aims at providing a missing link between spreadsheet applications (e.g. Microsoft Excel, Apple Numbers, OpenRefine) and vector graphics editors (e.g. Adobe Illustrator, Inkscape, Sketch).

RAW Graphs history

The project, led and maintained by the DensityDesign Research Lab (Politecnico di Milano) was released publicly in 2013 and is regarded by many as one of the most important tools in the field of data visualization.

RAW Graph visuals in the top of Google search image.

RAW Graph visuals on the top of Google search image.

After a couple of years, the involvement of Contactlab as a funding partner brought the project to a new stage. DensityDesign and Calibro can now plan new releases and ways to involve the community.

What’s particularly exciting about this product is the ability to export to SVG code and that makes it a HOT item for any data viz nerd who happens to also own a website!

RAW Graph in action, demonstrating the export function to SVG code.

RAW Graph in action, demonstrating the export function to SVG code.

06. Dygraphs offers an open source JavaScript charting Library!

Dygraphs is a fast, flexible open source JavaScript charting library.

It allows users to explore and interpret dense data sets.

Dygraphs.com offers an open source javascript language for data visualization.

Dygraphs.com offers an open source javascript language for data visualization.

Getting started with Dygraphs

Start by downloading dygraphs. Then read the Tutorial to learn how to use it, or just play with dygraphs on jsFiddle.

Once you’ve got your feet wet, look for inspiration in the demo gallery or check out our list of users.

If you’re using npm and a bundler like webpack, browserify or rollup, you can install dygraphs via:

npm install --save dygraphs

and use it via:

import Dygraph from 'dygraphs';
// or: const Dygraph = require('dygraphs');
const g = new Dygraph(div, data, {});

Check out the dygraphs ES6 sample project for more details on this approach.

Dygraph dashboard examples on Google Image search.

Dygraph dashboard examples on Google Image search.

Dygraph Features

  • Handles huge data sets: dygraphs plots millions of points without getting bogged down.
  • Interactive out of the box: zoom, pan and mouseover are on by default.
  • Strong support for error bars / confidence intervals.
  • Highly customizable: using options and custom callbacks, you can make dygraphs do almost anything.
  • dygraphs is works in all recent browsers. You can even pinch to zoom on mobile/tablet devices!
  • There’s an active community developing and supporting dygraphs.

There are hundreds of data visualization products available now-a-days, so we will continue this series in the future.

Do you use an open source language or application that helps you visualize data? Tell us about it in our comment section.

Data visualization Product round-up doesn’t end here!

With mountains of data being generated daily, we need to be able to tell a story with a simple user interface and plot these points in an aggregated method.

Excel may be the usual go-to-tool but as industries grow, so do the database technology, from MySQL to MongoDB, we need a simple and methodical place to drag and drop our insights, and we need it now.

As an author, data journalist, and information designer David McCandless said in his TED talk: “By visualizing information, we turn it into a landscape that you can explore with your eyes, a sort of information map. And when you’re lost in information, an information map is kind of useful”

There are hundreds of ways of telling a story, hundreds of programming libraries to pull from, and thousands of ways to skin the cat. One thing holds true with all data visualization products. Fast, efficient, ACID compliant, and reliable are key metrics to exploring data in 2018.