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QtiPlot

QtiPlot is a professional scientific data analysis and visualisation solution.

QtiPlot Reviews and details

Screenshots and images

  • QtiPlot Landing page
    Landing page //
    2021-03-23

Features & Specs

  1. Open Source

    QtiPlot is an open-source software, which allows users to inspect the source code and contribute to its development. This fosters community-driven improvements and ensures transparency.

  2. Cross-Platform Support

    QtiPlot is available for multiple platforms including Windows, macOS, and Linux, providing flexibility for users who work across different operating systems.

  3. Scientific Data Visualization

    QtiPlot offers a range of data visualization tools specifically designed for scientific research, making it easy to create publication-quality graphs and plots.

  4. Cost-Effective

    Being available as free software, QtiPlot is a cost-effective alternative to commercial data analysis and visualization tools, making it accessible for students and researchers with limited budgets.

  5. Custom Scripting

    QtiPlot supports Python scripting, allowing users to automate tasks and extend functionality through custom scripts, which enhances its versatility.

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Videos

QtiPlot Intro #3: scatter plot, linear regression, error bars & reading data from graphs

QtiPlot Intro #1: How to install free QtiPlot build on windows- QtiPlot alternatives

QtiPlot intro #5: Boltzmann fits (e.g. for bacteria or protein aggregation growth curves)

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QtiPlot discussion

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This is an informative page about QtiPlot. You can review and discuss the product here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.