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Observable

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23 reviews
  • 2 profiles
  • 4 categories
Average star rating
4.3
Serving customers since
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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Observable Reviews

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Vijay D.
VD
Vijay D.
External Frontend/UI Developer at DNB
01/27/2021
Validated Reviewer
Review source: G2 invite
Incentivized Review
Phuong B.
PB
Phuong B.
01/27/2021
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review

D3.js for Data Visualization

- Wide variety of visualization collections. - It is very easy to customize using D3.js. Animations, Interactivity, and data-driven plots make it a great framework to use. - JSON and CSV, all formats are integrable and converted to have data flexibility in D3.js. - Mostly heat maps, transitions, and effects are achieved using D3.js. - Easy to customize existing visualization collections and add extended functionality. - It takes some learning curve, but after that, it's easy to reuse across multiple similar problems with little changes.
Verified User in Information Technology and Services
UI
Verified User in Information Technology and Services
01/26/2021
Validated Reviewer
Review source: G2 invite
Incentivized Review

Nice data rendered

The library its pretty big, allows you to to a lot of stuff

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HQ Location:
San Francisco, US

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@observablehq

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