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Observable

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23 reviews
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4.3
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2017
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D3.js

19 reviews

D3 (or D3.js) is a free, open-source JavaScript library for visualizing data. Its low-level approach built on web standards offers unparalleled flexibility in authoring dynamic, data-driven graphics. For more than a decade D3 has powered groundbreaking and award-winning visualizations, become a foundational building block of higher-level chart libraries, and fostered a vibrant community of data practitioners around the world. D3 “slingshotted the field into growth, diversification and creativity that has been unprecedented” and “changed how millions of data visualizations are created across newsrooms, websites, and personal portfolios,” remarked the Information is Beautiful 2022 Test of Time Award. The IEEE VIS 2021 Test of Time Award noted, “By creating a framework that was compelling and easy for web developers to use to author interactive visualizations, the authors have undeniably helped to bring data visualization to the mainstream. [D3] is a cornerstone contribution to this conference specifically and more generally to the success of our field as a whole.” D3 was created by Mike Bostock in 2011. Mike co-authored the D3 paper with Jeff Heer and Vadim Ogievetsky at Stanford. Jason Davies made major contributions to D3 from 2011 to 2013, most notably to D3’s geographic projection system. Philippe Rivière has been a major contributor to D3 and its documentation since 2016. Over the years, countless kind individuals have contributed to D3 by sharing code and ideas, by teaching and answering questions, and by bringing people together to further the practice of visualization. Mike and Philippe now maintain D3 and Observable Plot at Observable.

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Observable

4 reviews

Observable is a new kind of data analysis tool — built for teams, powered by AI, and backed by a global community of data practitioners. With Observable, data analysts unlock a single workspace for data exploration, custom chart creation, and cross-functional data collaboration.

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Michael S.
MS
Michael S.
Selbstständig beratender Ingenieur, SAP Interstellar Solution Architect
04/01/2020
Validated Reviewer
Review source: G2 invite
Incentivized Review

Data-Driven Documents with JavaScript: D3js

From the Commandline or IDE (atom, vim, emacs, intelliJ, eclipse, vscode...) you can use your code to write beautiful visualizations of your data in the browser(DOM). You could style, transform and add dynamics to them. Over Scalable Vector Graphics, svg the visualizations can be represented as text/grafix, diagrams or charts. It's JS so formats are yours (eg JSON ) also data is yours so choose your database/lake. The api has the math, physics, logics, time, geographcis, stars, clouds ...at your fingertips. Use it: Just for fun Pimp Website Pimp Presentation, yes also Business Presentations Visualize math and the like animate and visualize all the above including text do all the above freestyler and rock the web What struck me first was this demo https://scriptonofficial.github.io/3d-shader-image-transition/ Hint: 3D experience like Blender, Photosphop, Package Design might be helpful Scala, Python, Java and pure zshell or node might fuel your imagination
BS
Brian S.
10/13/2019
Validated Reviewer
Review source: G2 invite
Incentivized Review

D3js is the most amazing thing you'll see on the web.

D3 is a collection of breath-taking charts you can apply to your data to not only to visualize but to also captivate. It is a living piece of art. The live demos are unbelievable, they show that there are not limits to what you can do with the library and javascript as long as you're creative.
NR
Noah R.
04/07/2019
Validated Reviewer
Review source: G2 invite
Incentivized Review

Data visualization made easy

D3.js is a great tool that lets me take complicated data sets and break them into understandable pieces and create visualizations to show management where things are going.

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Make your data observable

Observable is a new kind of data analysis tool — built for teams, powered by AI, and backed by a global community of data practitioners. With Observable, data analysts unlock a single workspace for data exploration, custom chart creation, and cross-functional data collaboration. Observable offers two tools to help data analysts and their stakeholders make sense of their data: Observable Canvases, and Observable Notebooks. Observable Canvases is a canvas-based tool for data analysts and data teams who want to visually explore their data, build charts, and collaborate with stakeholders. Observable Notebooks are reactive JavaScript notebooks that are used by thousands of developers, data practitioners, and educators to build interactive data visualizations with code.

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Year Founded
2017