AnyChart

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

The company's products include massive out-of-the-box capabilities, combined with the flexibility and the simplicity. Loved by thousands of happy customers.

Cross-platform data visualization solutions — award-winning JavaScript charting libraries, Qlik Sense extensions, and more for all your needs in data viz and analytics. 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. 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.

10/26/2026

A chart can look great and say nothing.
The ones that stick with us do the work.

They bring out what the numbers alone don't show. And that's the kind of projects we feature in DataViz Weekly, our recurring series sharing working examples.

Each one is worth a visit, and together, they add up to plenty of ideas for whatever you build.

See what stuck with us most recently:

📌 Cyber risk by U.S. industry
By Eric Fayad & Todd Lindeman (visuals), and David Gatey, Lesley Ritter, Chris Vos, Hesam Talebiyan, Emine Bassoum (research & analysis) // Moody's
↳ Weighs exposure against defenses across 21 sectors.

📌 Senate and House races in the 2026 midterms
By Chris Stein, Alex Clark, Andrew Witherspoon, Ashley Kirk // The Guardian
↳ Maps where the fight for each chamber of the U.S. Congress stands.

📌 The Michigan Senate debate in left- and right-leaning posts
By Stuart A. Thompson // The New York Times
↳ Follows 13,000+ posts on X through debate night, topic by topic.

📌 Licensed dogs across New York City neighborhoods
By Firat Ciftci
↳ Turns 96,459 license records into a map of breeds and names.

Start on our blog for a quick look, then go explore the projects yourself.

If you've made or spotted one that does the work, share it with us, and we'll consider it for an upcoming edition.

10/20/2026

AnyChart JS 9.0.0 is out.
It's a big one for new chart types.

We've added seven, each built with a specific job in mind:

→ Dependency wheels and arc diagrams map connections.
→ Org charts lay out hierarchies.
→ Stream graphs and waffle charts show what a whole is made of.
→ Lollipop and dumbbell charts compare values and the gaps between them.

Beyond charts, the new version brings accessibility down to individual data points, themes and palettes that load and apply by name, and further improvements making AnyChart, AnyStock, AnyMap, and AnyGantt more powerful.

Give 9.0.0 a try in your next project.

P.S. Working in Qlik Sense? We can bring any of these chart types into your apps. Just let us know.

10/19/2026

It started as a "quick" glance at a chart.
Ten minutes later, you're still looking.
Then digging into how it was built...

We know the feeling.

Out of all the new projects we see online, some hold our interest longer than the rest. DataViz Weekly, a regular feature on our blog, is where we spotlight them as examples for anyone who visualizes data.

Here's what's in the latest edition:

🟧 Voters in U.S. House battlegrounds
By Teo Armus, Clara Ence Morse, Eric Lau // The Washington Post
↳ Profiles the people in the few dozen districts either party could win.

🟧 China's surplus wind and solar power
By Dan Murtaugh, Jin Wu // Bloomberg
↳ Shows how much clean electricity never reaches the grid.

🟧 The age of every building in Paris
By Alexander Bogachev
↳ Replays the city's growth from the 900s to today.

🟧 Sea temperatures around the Pacific Islands
By Elia Kabanov
↳ Tracks how warmer years have replaced cooler ones since 1850.

Get a taste of them on our blog.
Then take your time with the originals.

Working on something like these?
Show us. It could be featured next.

10/14/2026

You saw a great chart a few weeks ago.
Could you still find it?

Weekly gathers examples like that on our blog. Each time, we pick the recent data visualization projects we found most interesting, describe them briefly, and link to the originals. If you build charts and maps yourself, it's a good place to look for ideas.

Here's what went into our two latest editions:

● Problem gambling experiment on DraftKings
ProPublica
↳ Follows a reporter's 10 weeks of betting, wager by wager.

● Expert ratings of fixes for U.S. schools
The New York Times
↳ Weighs 30 proposals by expected impact and cost.

● Elevation anywhere on Earth
Bert Spaan with Jules Schoonman
↳ Brings out the terrain, from mountain ranges to river valleys.

● Every vote in Berlin's 2026 state election
Danila Morkovkin
↳ Shows where each party drew its support across the city.

● Afterlife beliefs by age
Alvin Chang for The Pudding
↳ Lets you walk among 1,500 survey respondents from 23 countries.

● U.S. tariff exposure across Canada
School of Cities, University of Toronto
↳ Estimates the local businesses and jobs at risk, down to the neighborhood.

● Population pyramids from 1950 to 2100
Karim Douieb
↳ Traces the shifting age structure of the world or any country.

● American social life in 1995 and 2026
Data for Progress
↳ Repeats a three-decade-old survey and puts the answers side by side.

Both editions are on our blog. Bookmark them for the next time you need a reference.

Your own work is welcome too. Tell us about it, and it could appear in a future edition.

09/28/2026

Behind many news stories sits a dataset that knows more than the headline.

Data journalists get it talking with charts and maps. And this time, all four picks come from newsrooms.

is our regular roundup, where we sift through recent data visualization work from across the web and feature the projects we found most interesting as real-world examples for anyone who works with data.

Here's what made the cut for the latest edition:

🔸 Anomalies in Russia's 2026 Duma election results
// Важные истории
↳ Runs the official count through statistical tests.

🔸 The biggest donors in the 2026 U.S. midterms
// Washington Post
↳ Fits the 50 largest donors into a single treemap.

🔸 Waste heat from AI data centers in U.S. cities
// Bloomberg Green
↳ Follows data center heat from rooftop fans to whole cities.

🔸 Food self-sufficiency and forests in Indonesia
// The Straits Times
↳ Shows where forests have gone and where crops grow.

We walk through each on our blog, link in the comments.

Newsroom or not, if you've got a dataset talking, tell us about it. The next four could come from anywhere!

09/23/2026

Every number in the company is correct.
That is exactly why none of them match.

The systems that produce them were never built to agree. Nobody ever needed them to.

→ The CRM is right about customers
→ The ERP is right about orders
→ Finance is right about revenue

Three correct answers that have never been in the same room.

Then somebody asks for one screen that holds all three, and the project stops being a design job.

What the outside sees is a team that said two weeks and is now in month two. So it reads as slow delivery. Or as the wrong tool.

It is neither.

A dashboard is often the first audit a company ever runs on itself. Nobody asked for one. It did not create the mess. It found it.

And because finding it was nobody's job, somebody absorbs it. At night, in a file nobody else can open.

That file is now load-bearing. It appears on no diagram, in no budget, in no handover.

The company finds out it exists the week the person who built it goes on holiday.

09/21/2026

Everyone is busy making charts...
Hey, wanna stop and look at anyone else's?

That is the point of Weekly, a standing roundup on our blog. We go through what got published around the web, keep the projects where the visuals do real work on the data, and put them up as examples. Useful if you make this kind of thing yourself, and worth a look either way.

The four we kept this time 👇

👀 The U.S. electorate ahead of the 2026 midterms
(The Economist)
↳ Rebuilds the electorate as a grid of moving dots.

👀 The U.S. economy's mixed signals
(Prinz Magtulis & Ann Saphir for Reuters)
↳ Sets four upbeat indicators against four gloomy ones.

👀 Building ages across 100 cities
(Block and Paper)
↳ Colors every dated building by the decade it went up.

👀 Travel weather scores month by month
(SeasonMap)
↳ Scores 1,350 destinations on the weather you would get.

Check out the latest edition of DataViz Weekly and start wherever you like: https://www.anychart.com/blog/2026/09/18/good-data-visualization-found-passed-along/

Built something where the visuals do the work? Send it over. Four more spots in the next edition.

09/17/2026

Would you investigate a 22% KPI miss before a 4% miss?
One more chart would be great to have before deciding.

Suppose the 22% gap has barely changed for a year.
The 4% gap opened in the last two months, after ten months on plan.

Both are below target.
Only one has just changed.

Put a sparkline next to each number and that distinction becomes visible.

The persistent shortfall calls for a look at performance and the target itself. The recent decline raises a different question: what changed in those two months?

You still need to weigh business impact.
But now you have more to go on than which number looks worse in red.

Sparklines are one of five useful chart types for assessing performance against target, alongside bullet charts, gauges, variance columns, and waterfalls.

Each answers a different question (image 👇).

We've just published a guide to choosing between them, combining them, and spotting the ways each can mislead. Check it out on our blog (💬).

How far off plan we are is only the first question...

09/14/2026

Good data viz appears constantly.
How much of it reaches you?

Weekly is a regular series on our blog, set out to highlight the data visualizations we found most interesting over the past few days. Curated for how their charts or maps pull patterns out of the numbers. Worth your time if you build this kind of thing yourself.

Check out our latest picks:

◉ Heat index days county by county in the U.S.
Gus Wezerek // The New York Times Opinion Section
↳ Tracks how far extreme heat has spread in thirty years.

◉ Visa-free reach of all 199 passports
Akash Wadhwani // Sheets Works
↳ Explores where every passport takes you, and who it lets in.

◉ Hot spells and hospital deaths in Austria
Liuhuaying Yang // Complexity Science Hub
↳ Projects the toll through 2075, by district and by age.

◉ Hajj dates and temperatures in Makkah
Méridien // Balady Atlas
↳ Covers who comes, from where, and how hot it gets.

A list does them no justice.

The full edition is on our blog.
Start there, then open them for a closer look.

Made a chart or map you're proud of?
Point us at it. It could be one of the next four.

09/07/2026

Your next chart could start with someone else's.

DataViz Weekly brings you recent visualization projects as examples for your own work. For the latest edition on our blog, we picked these four:

◆ Record heat and humidity across the U.S.
Washington Post
↳ Sets this summer against every year back to 1895.

◆ Signs of AI authorship online
Pew Research Center
↳ Checks nearly half a million webpages for signs of AI authorship.

◆ Wages measured in Big Macs
The Economist
↳ Measures average take-home pay across 32 countries in Big Macs.

◆ Premier League shirt sponsors since 1992
Financial Times
↳ Traces the rise and exit of gambling brands as front-of-shirt sponsors.

Ready to explore the full selection?
The first comment takes you there.

Have a visualization project to share?
Send it our way for a future edition.

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Telephone

+12794992767

Website

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