
Microsoft Office Excel
DataWrapper
Flourish
ChartPixel
ChartStud
MakeCharts
Create stunning data visualizations in minutes. Upload your data (CSV/Excel/JSON and many more), clean messy data automatically, and generate publication-quality charts without coding. 12 chart types, smart data cleaning, instant results.

Which is more popular?
Based on our record, GDevelop seems to be more popular. It has been mentioned 78 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | cleanchart.app | gdevelop.io |
| Pricing | ||
| Company | Startup from Switzerland · 1 - 9 employees · 2026 | — |
| Listed in |
In their own words, as submitted to SaaSHub.


CleanChart.app is a no-code data visualization tool that helps you turn your raw data into professional, publication-ready charts in minutes — without Excel, coding, or design skills. You simply upload your data, let the app automatically clean and format the data, choose a chart type, and export...
No description of GDevelop yet.
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing CleanChart and GDevelop.
CleanChart's answer
Automatic Data Cleaning Built In – Unlike most chart makers that assume your data is already neat, CleanChart detects and fixes common issues like missing values, duplicates, and inconsistent formats before you generate a chart. This means you spend less time prepping and more time visualizing.
True No-Code Experience – You don’t need Excel expertise, scripting skills, or design knowledge to produce professional charts. With just file upload and a few clicks, you get clean, ready-to-use visualizations.
Fastest Path from Raw Data to Chart – CleanChart’s workflow is optimized for speed: upload, clean, select, export — often within minutes. Compared to tools like Google Sheets or coding in Python, it’s one of the quickest ways to go from messy data to visual output.
Professional-Quality Defaults – Charts are designed with excellent readability and accessibility by default — with legible labels and color palettes meant to communicate insight clearly without manual tweaking.
Privacy-Focused & Simple Pricing – Data processing happens in the browser (keeping your data private), and pricing is token-based rather than subscription locked — making it more accessible for occasional users and smaller budgets.
Broad Use Cases Beyond Analysts – While many visualization tools are built for analysts or require specialized skills, CleanChart targets everyday users — students, professionals, and anyone who needs clear charts without the BI complexity.
CleanChart's answer
No technical skills required – CleanChart lets you go from raw data to polished chart in minutes without Excel wizards, coding, or BI expertise.
Automatic data cleaning – Upload messy CSV/Excel files and the app detects and fixes issues like missing values and formatting errors for you.
Professional-grade results fast – Designed for readability and clarity, charts are publication-ready with accessible defaults and export options (PNG/SVG).
Affordable, transparent pricing – Pay-per-chart or low-cost options instead of expensive subscriptions typical of many analytics platforms.
Great for non-enterprises – Ideal for students, researchers, and business users who need insight visualization without heavy BI tools.
CleanChart's answer
The primary audience includes non-technical users who need to create clear and professional charts quickly — such as students doing assignments or theses, business professionals preparing reports or presentations, and anyone who wants insight from data without wrestling with spreadsheets or coding.
CleanChart's answer
CleanChart was built to solve a common pain point: turning messy, real-world data into visual insights faster and with less frustration than traditional tools like Excel or programming languages. It emphasizes simplicity — upload a file, clean the data automatically, pick a chart type, and export results — with privacy and ease-of-use at its core.
CleanChart's answer
CleanChart is primarily a Python-based application, with JavaScript powering the web interface, and Cython/C components used for performance optimization.
CleanChart's answer
Mostly people who want to clean their data quickly and easily, and then visualize it. It is designed for people with no coding skills or for those who don’t know how to do it using common software such as Excel.
Share your experience with using CleanChart and GDevelop. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


We have no reviews of CleanChart yet. Be the first one to post
awesome, but contains some bugs like frezees or editor view crash
Beginners who don’t have any programming skills but still want to create some games can quickly access one of the best platforms based on the open source network to help them develop games named the GDevelop. This...
GDevelop is described as a “free and easy game-making app.” It’s similar to Scratch in that it’s a no-code platform; it doesn’t require using programming languages. GDevelop is also free and open source.
Recommendations tracked on public social media and blogs since March 2021.


Tracking CleanChart since Feb 2026.
GDevelop combines open-source flexibility with powerful no-code features. Their recent AI plugins provide remarkable capabilities:. - Source: dev.to / over 1 year ago
Humble Bundle has a Godot bundle is available for the next day or so. That might be a good one to look at if you're ok with leaning into code a bit (gdscript is very very similar to python).... - Source: Hacker News / almost 2 years ago
I selected this library as I normally use much higher-level tools to develop games such as p5.js, or GDevelop. Both these tools are amazing in their own right; however, I want to learn how these processes operate on a much lower level.... - Source: dev.to / about 2 years ago
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