Software Alternatives, Accelerators & Startups

CleanChart VS LabPlot

Compare CleanChart VS LabPlot and see what are their differences

CleanChart logo CleanChart

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.

LabPlot logo LabPlot

LabPlot is a KDE-application for interactive graphing and analysis of scientific data.
  • CleanChart Landing page
    Landing page //
    2026-03-27

CleanChart.app is a no-code data visualization tool that helps you turn your raw data into professional, publication-ready charts in minutes โ€” 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 the result for use in presentations or reports.

  • LabPlot
    Image date //
    2024-09-02
  • LabPlot
    Image date //
    2024-09-02
  • LabPlot
    Image date //
    2024-09-02
  • LabPlot
    Image date //
    2024-09-02
  • LabPlot
    Image date //
    2024-09-02
  • LabPlot
    Image date //
    2024-09-02
  • LabPlot
    Image date //
    2024-09-05
  • LabPlot
    Image date //
    2024-09-05
  • LabPlot
    Image date //
    2024-09-05

LabPlot is a FREE, open source and cross-platform Data Visualization and Analysis software accessible to everyone and trusted by professionals.

FEATURE HIGHLIGHTS

  • High-quality data visualization and interactive plotting
  • Data analysis, statistics, nonlinear regression, curve and peak fitting
  • Fast computing with interactive notebooks (for Python, R, Julia, Maxima and more)
  • Data extraction from images (Plot Digitizer)
  • Smooth data import and export to and from multiple formats (CSV, JSON, ODS, XLSX, Origin, SAS, Stata, SPSS, MATLAB, SQL, MQTT, BLF, HDF5, FITS, ROOT (CERN), LTspice, Ngspice and more)
  • Available for Windows, macOS, Linux, FreeBSD, Haiku, GNU

A full list of features: https://labplot.kde.org/features

Video tutorials: https://www.youtube.com/@LabPlot

Communication channels: https://labplot.kde.org/support

Get it here: https://labplot.kde.org/download

CleanChart

$ Details
paid Free Trial $4.99 / Monthly
Release Date
2026 January
Startup details
Country
Switzerland
State
Wallis
City
Visp
Founder(s)
Kevin Salzmann
Employees
1 - 9

CleanChart features and specs

  • Data Cleaner
    Cleans your data within seconds
  • Chart Wizard
    Create stunning charts within minutes

LabPlot features and specs

  • Open Source
    LabPlot is free and open source, allowing users to modify and distribute the software without any cost.
  • Integration with KDE
    LabPlot is part of the KDE software collection, offering seamless integration with other KDE applications and a consistent look and feel.
  • Multiplatform Support
    LabPlot is available on various platforms, including Linux, Windows, and macOS, making it accessible to a wide range of users.
  • Extensive Plotting Features
    LabPlot offers a wide range of plotting capabilities, including 2D and 3D plots, which can accommodate diverse scientific and engineering needs.
  • Customizability
    Users can customize plots extensively in LabPlot, adjusting parameters such as plot style, color, and data presentation to suit their specific needs.

Possible disadvantages of LabPlot

  • Steeper Learning Curve
    Due to its comprehensive features, new users might find LabPlot challenging to learn and may require time to become proficient.
  • Limited Community Support
    While there is a community around LabPlot, the size is relatively small compared to more widely used plotting tools, potentially limiting peer support.
  • Performance Issues with Large Datasets
    LabPlot may experience performance slowdowns when handling very large datasets, which can hinder productivity for users working with such data.
  • Less Frequent Updates
    LabPlot may receive updates less frequently than some commercial software, possibly affecting the pace of new feature integration.

Analysis of CleanChart

Overall verdict

  • CleanChart appears to be a lesser-known charting/productivity tool, and without verified independent reviews, benchmarks, or extensive user feedback, it's difficult to give a definitive, well-substantiated endorsement. It may work well for basic needs but hasn't demonstrated broad proven reliability.

Why this product is good

  • Likely offers a simple, minimalist interface for creating charts or visualizations
  • May be lightweight and fast for basic charting tasks
  • Could be a good low-cost or free alternative to bulkier charting software
  • Possibly easy to learn for users who don't need advanced features

Recommended for

  • Users seeking a simple, no-frills charting tool
  • Individuals with basic data visualization needs
  • People trying out lightweight alternatives before committing to premium software
  • Small-scale personal or hobby projects rather than enterprise use

CleanChart videos

No CleanChart videos yet. You could help us improve this page by suggesting one.

Add video

LabPlot videos

How to fit a curve using LabPlot

More videos:

  • Tutorial - Quick Statistics and Visual Overview of Data in LabPlot
  • Tutorial - How to export publication-quality plots from LabPlot
  • Tutorial - Your First Data Import and Visualization in LabPlot

Category Popularity

0-100% (relative to CleanChart and LabPlot)
Data Cleansing
100 100%
0% 0
Technical Computing
0 0%
100% 100
Data Analysis
100 100%
0% 0
Office & Productivity
0 0%
100% 100

Questions & Answers

As answered by people managing CleanChart and LabPlot.

What makes your product unique?

CleanChart's answer

Automatic Data Cleaning Built In โ€“ 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 โ€“ You donโ€™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 โ€“ CleanChartโ€™s workflow is optimized for speed: upload, clean, select, export โ€” often within minutes. Compared to tools like Google Sheets or coding in Python, itโ€™s one of the quickest ways to go from messy data to visual output.

Professional-Quality Defaults โ€“ Charts are designed with excellent readability and accessibility by default โ€” with legible labels and color palettes meant to communicate insight clearly without manual tweaking.

Privacy-Focused & Simple Pricing โ€“ Data processing happens in the browser (keeping your data private), and pricing is token-based rather than subscription locked โ€” making it more accessible for occasional users and smaller budgets.

Broad Use Cases Beyond Analysts โ€“ While many visualization tools are built for analysts or require specialized skills, CleanChart targets everyday users โ€” students, professionals, and anyone who needs clear charts without the BI complexity.

Why should a person choose your product over its competitors?

CleanChart's answer

No technical skills required โ€“ CleanChart lets you go from raw data to polished chart in minutes without Excel wizards, coding, or BI expertise.

Automatic data cleaning โ€“ Upload messy CSV/Excel files and the app detects and fixes issues like missing values and formatting errors for you.

Professional-grade results fast โ€“ Designed for readability and clarity, charts are publication-ready with accessible defaults and export options (PNG/SVG).

Affordable, transparent pricing โ€“ Pay-per-chart or low-cost options instead of expensive subscriptions typical of many analytics platforms.

Great for non-enterprises โ€“ Ideal for students, researchers, and business users who need insight visualization without heavy BI tools.

How would you describe the primary audience of your product?

CleanChart's answer

The primary audience includes non-technical users who need to create clear and professional charts quickly โ€” 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.

What's the story behind your product?

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 โ€” upload a file, clean the data automatically, pick a chart type, and export results โ€” with privacy and ease-of-use at its core.

Which are the primary technologies used for building your product?

CleanChart's answer

CleanChart is primarily a Python-based application, with JavaScript powering the web interface, and Cython/C components used for performance optimization.

Who are some of the biggest customers of your product?

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 donโ€™t know how to do it using common software such as Excel.

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare CleanChart and LabPlot

CleanChart Reviews

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LabPlot Reviews

  1. LabPlot provides extensive capabilities for data import and export, along with tools for analysis, curve fitting, nonlinear regression and interactive visualization, including live data support. Users can export graphs in various formats and utilize a built-in plot digitizer to extract data from existing charts. Additionally, if users are familiar with programming languages such as Python or R, they can leverage these within LabPlot's interactive notebooks.

What are some alternatives?

When comparing CleanChart and LabPlot, you can also consider the following products

Microsoft Office Excel - Microsoft Office Excel is a commercial spreadsheet application.

SciDaVis - SciDAVis is a free application for Scientific Data Analysis and Visualization.

DataWrapper - An open source tool helping anyone to create simple, correct and embeddable charts in minutes.

RJS Graph - RJS Graph is an artificial intelligence-based data management platform that allows users or developers to organize the data by manipulating the binaries, scientific, mathematical, and other insights with accurate results.

Flourish - Powerful, beautiful, easy data visualisation

OriginPro - OriginLab OriginPro is a comprehensive interface-based data management platform that allows users to calculate or visualize the data insights in various fields like engineering, scientific domain, or multi-sector industrial stats.