AnyChart

Name: AnyChart
Address: Saint Augustine, FL, US
Telephone: +12794992767
Rating: 5

Cross-platform data visualization solutions — award-winning JavaScript charting libraries, Qlik Sense extensions, and more
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Founded in 2003, AnyChart is one of the global leaders in interactive data visualization, offering award-winning, flexible JavaScript (HTML5) charting libraries with numerous chart types and features, great API and documentation, and enterprise-grade support to help businesses transform operational data into actionable information. Cross-browser JS charts and graphs, maps, stock charts, and Gantt

charts powered by AnyChart have helped thousands of companies including industry leaders — from startups to corporate giants such as Ford, Oracle, Microsoft, AT&T, Samsung, 3M, Nokia, BP, Lockheed Martin, Bosch and many others — gain better insight, make right decisions, and improve their enterprise performance based on robust, insightful data visualization. Whether you need to enhance your website with better reporting, embed dashboards into your on-premises and SaaS systems, or build an entire new product, AnyChart covers all your data visualization needs. The company's products include massive out-of-the-box capabilities, combined with the flexibility and the simplicity. Loved by thousands of happy customers. In 2019, AnyChart launched a technology alliance partnership with Qlik, adding three new product extensions for Qlik Sense. The partnership enables the Qlik community to be provided with more than 30 new chart types and many useful features natively in the Qlik environment.

06/01/2026

Every week brings more charts and maps into view. We pick out those worth a closer look 👇

DataViz Weekly is where we round these up, each Friday on our blog. Sometimes the subject earns it, sometimes the design choices, sometimes the way the data is brought into focus.

Here are the latest picks:

🔸 70 Years of Eurovision Lyrics
By Giuseppe Sollazzo
↳ Plotting all 1,795 Eurovision songs from 1956 to 2025 by theme and language.

🔸 California Politics Beyond Left and Right
By Aseem Shukla, Nami Sumida // San Francisco Chronicle
↳ Revealing California's political clusters through precinct-level voting patterns.

🔸 The Japanese Yen Under Pressure
By John Cheng, Christopher Udemans // Bloomberg
↳ Tracing the yen's swings over the past year.

🔸 Britain's Second City Debate
By YouGov
↳ Visualizing what Britons think Britain's second city is.

Start from the roundup on our blog and check out these projects, whether for inspiration or pure fun.

P.S. Built or found a nice data visualization project?
Let us know, and we may feature it next time.

05/28/2026

Qlik didn't have it.
We built it for Qlik.

Just released the Circular Dendrogram extension for Qlik Sense, showing a hierarchy as the tree it actually is. Every parent-child relationship is drawn as an edge, fanning out from one center to the leaves on the rim.

Not packed by value like a treemap.
Not stacked in rings like a sunburst.
You read it by following lines, not comparing areas.
The right pick when the question is about shape, not size.

Where it fits:
→ Org charts: divisions down to people
→ Product taxonomies: categories down to SKUs
→ Account hierarchies and cost centers
→ File structures, scientific classifications, anything nested

Qlik has an org chart for top-down structures.
And a network chart for general graphs.
A radial tree was the gap.

Click a leaf and its whole chain back to the root lights up. Wide, deep trees on one screen. And because it is a real Qlik chart, exports, locale formatting, cross-filtering, etc., work out of the box.

See the full announcement on our blog.

It's v1.0. If you try it and something's missing, a layout, a measure mode, an interaction, tell us. That's what we build from.

05/25/2026

A data map turns location into a variable.
Patterns start to take shape across space.
Geographic data viz in practice 👇

We've spotted several interesting data maps out there over the past few days. So this edition of Weekly leans spatial. The four projects we selected show what maps can add when data has a geographic side.

Dots, bubbles, connectors, choropleths: each type fits a different kind of spatial question.

This time in DataViz Weekly:

📍 146 Million U.S. Jobs by Sector
By Kyle Walker
↳ Plots U.S. jobs by workplace location across 20 sectors.

📍 Sahel Violence and Nigeria
By Ashley Kirk et al. (The Guardian)
↳ Tracks two decades of rising terrorism deaths in the Sahel region, zooming into Nigeria's hotspots.

📍 Rio de Janeiro's Sister Cities
By Georgios Karamanis
↳ Traces Rio's 93 sister city links continent by continent.

📍 To***co Smoking Endgame
By Amanda Shendruk
↳ Shows how close each country is to ending smoking, drawing on a 2024 Lancet study.

See the full edition on our blog.

What's the most interesting data map you've seen lately?

05/19/2026

Most line charts smooth between data points.
A step line chart doesn't. That's the whole point.

Picking the right chart type for the data is half the job. Federal Reserve rates don't drift upward. They jump when the FOMC decides they jump, then hold flat until the next meeting. That's a staircase, not a slope.

Our new JavaScript tutorial builds one from scratch using ten years of real Fed data: 3,653 daily values from May 2016 to May 2026, loaded straight from the CSV file you can download from the official source.

What you'll build:
→ Step line series on a date-time scale
→ CSV loading (no manual parsing)
→ Custom tooltip with formatted dates and percentage values
→ Year-by-year axis ticks and a fixed 0–6% y-range
→ Scroller for zooming into the 2022 hiking cycle, the COVID cut, or any period

Full step-by-step walkthrough, complete code, and a live demo you can fork and tweak.

Tutorial link in the first comment 👇

Where else would you reach for a step line chart instead of a regular line chart?

05/18/2026

Data carries the facts. A good chart unlocks the meaning 📈
Fresh examples ↴

Each Friday on our blog, Weekly rounds up a small selection of data visualization projects that pulled us in lately and we believe will do the same for you. The kind anyone making charts and maps can draw on for references and inspiration.

Here's what made it into the latest edition:

▸ 𝗣𝗼𝗹𝘆𝗺𝗮𝗿𝗸𝗲𝘁 𝗪𝗶𝗻𝗻𝗲𝗿𝘀 𝗮𝗻𝗱 𝗟𝗼𝘀𝗲𝗿𝘀
By Jeremy B. Merrill, Leslie Shapiro | The Washington Post
↳ Plots millions of users by net winnings and trades, exposing where most cluster and how a handful of accounts sit far above the rest

▸ 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀 𝗶𝗻 𝗘𝗻𝗴𝗹𝗶𝘀𝗵 𝗦𝗶𝗺𝗶𝗹𝗲𝘀
By Russell Samora, Shelley Tan | The Pudding
↳ Explores 200,000 "as ___ as ___" phrases to reveal which adjectives lock to one noun and which spread wide

▸ 𝗕𝗶𝗴 𝗧𝗲𝗰𝗵 𝗟𝗼𝗯𝗯𝘆𝗶𝗻𝗴 𝗶𝗻 𝗚𝗲𝗿𝗺𝗮𝗻𝘆
By Zentrum für Digitalrechte und Demokratie
↳ Connects Big Tech firms to German lawmakers through layers of associations, agencies, and aligned clubs

▸ 𝗔𝘁𝗹𝗮𝘀 𝗼𝗳 𝗚𝗹𝗼𝗯𝗮𝗹 𝗣𝗿𝗼𝗴𝗿𝗲𝘀𝘀
By Jan Willem Tulp, Christian Laesser, Maarten Lambrechts, Ændra Rininsland, Alice Thudt | The World Bank
↳ Tracks 75 years of human progress across 200 economies, including where it is now slipping

Kudos to the authors and publishers behind these great projects 👏

See the full roundup on our blog (link in the comments) 🔗

What was the last data graphic that pulled you in?

05/11/2026

New DataViz Weekly is out with a fresh batch of examples showing how charts and maps put data to work in the real world.

📊 Data visualization does not take weeks off. We keep tracking what gets published out there and select the most interesting finds for DataViz Weekly on our blog.

See the latest edition, featuring:

🌟 Rise of AI-generated content
By Jonáš Doležal, Sawood Alam, Mark Graham, Maty Bohacek
↳ Tracking how AI-written content grew from near zero to 35% of the web and measuring its effects

🌟 Divorce rates by job
By Nathan Yau | FlowingData
↳ Showing how divorce rates vary across hundreds of occupations in the U.S.

🌟 Global press freedom (at a 25-year low)
By Reporters Without Borders (RSF)
↳ Visualizing the 2026 World Press Freedom Index

🌟 Pet boom in Italy
By Massimo De Laurentiis, Alice Calvi, Luca Galimberti | Il Sole 24 Ore
↳ Exploring Italy's shift from children to pets and the economics behind the boom

Check out the full roundup as of May 11, 2026: https://www.anychart.com/blog/2026/05/08/visualizing-data-ai-freedom-pet-divorce/

Any of these spark an idea for your own work?

05/04/2026

Voter intent. Power grid. Melting iceberg. Year in music.

4 data viz projects worth your time 👇

We're always on the lookout for great data visuals. Once a week, we bring the most interesting ones together in Weekly on our blog. Here's the latest lineup:

✦ British Voter Intent by Demographic
The Economist
↳ Select eight demographic factors and watch voting intent shift across 275,000 possible profiles.

✦ U.S. Electrical Grid Under Strain
The New York Times
↳ How rising demand is overwhelming a century-old power grid.

✦ Disappearance of Iceberg A23a
The European Correspondent
↳ The world's once-largest iceberg shrinking to nothing, put to human scale.

✦ 2025 Year in Music
Beyond Words Studio for Chartmetric
↳ Everything that happened in global music in 2025, visualized.

The full roundup is on our blog, link below 💬

What's the most interesting chart or map you've come across lately?

04/28/2026

Love good charts and maps? 👀
You'll want to see these ↴

Welcome to DataViz Weekly, where we put a spotlight on notable data visualizations as they come out around the web.

Here are the projects featured in the new edition:

📌 Tehran strike damage by land use
By Golnar Motevalli, Krishna Karra, Tom Février, Raeedah Wahid
// Bloomberg

📌 Six decades of population change in Europe
By Lilith Grull, Ada Homolova, Frida Thurm, Luc Martinon
// CORRECTIV

📌 Job stability across occupations in the U.S.
By Nathan Yau
// FlowingData

📌 Buildings by proximity to roads
By Benjamin Lozes

See the full roundup on our blog.
➕ Stay tuned for more great examples of data viz in action.

Made or found a cool map or chart?
💬 Ping us, and it may end up featured next time.

04/20/2026

Visualization helps data say more 📈
New examples worth a look 👇

DataViz Weekly is back with new picks showing how charts and maps can make complex subjects easier to understand. In this series, we collect some of the best recent examples we come across.

Check out what made the cut this time:

🔸 Causes of death across countries — Our World in Data
🔸 Cuba's oil crisis — Reuters
🔸 Family business succession wave — The Economist
🔸 Three years of war in Sudan — Al Jazeera

Link in the comments ⏬

Seen a data visual worth sharing, or built one yourself?
Let us know, and we may feature it next time.

04/15/2026

80+ years of U.S. presidential approval data.
Visualized as a vertical area chart in JavaScript.
Explained step by step in our new tutorial.

Most time-series charts run horizontally.
Sometimes it makes sense to turn them top to bottom.

We published a beginner-friendly tutorial on how to build a vertical area chart using our JavaScript charting library. For the example, we used monthly U.S. presidential approval and disapproval data from 1941 to 2025 (Gallup) and turned it into a mirrored chart showing how those numbers changed across administrations.

The tutorial walks through the full build:
→ Two mirrored area series
→ Smooth spline curves
→ Date/time scale with yearly ticks
→ Highlighted zero baseline
→ Tooltip showing the president in office and exact figures for any hovered month

The full code is included. The interactive version is available on AnyChart Playground, so you can try it, swap in your own data, tweak the visualization, and run it right away. No setup.

Tutorial link in the comments 👇

What dataset would you visualize as a vertical area chart?

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