Windows
macOS
Source Code
Compatibility & Requirements
Ensure your environment meets the following specifications for an optimal SciDAVis experience.
💻 Hardware
- Processor: 1 GHz Dual-core or higher.
- RAM: 1 GB minimum (4 GB recommended for large data sets).
- Disk Space: At least 250 MB for installation and temporary files.
- Display: 1024×768 resolution minimum.
⚙️ Software
- Windows: 7, 8, 10, and 11 (32/64-bit).
- macOS: 10.15 (Catalina) up to macOS 15 (Sequoia).
- Python Support: Optional Python 2.7/3.x for scripting features.
- Dependencies: All core libraries (GSL, MuParser) are bundled in the MSI/DMG.
Quick Installation Steps
Download: Select the MSI (Windows) or DMG (macOS) package from the section above.
Run Installer: Double-click the downloaded file. On Windows, follow the Setup Wizard. On macOS, drag the SciDAVis icon into your Applications folder.
First Launch: Open SciDAVis. If prompted by Windows Defender or macOS Gatekeeper, select “More Info” and “Run Anyway” (as an open-source tool, it may not be signed by a commercial certificate).
Configure (Optional): Go to Edit -> Preferences to set up your default Python interpreter for advanced scripting.
Download FAQ
Is this the official SciDAVis website? +
Yes, scidavis.org is the primary hub for the SciDAVis project, providing links to our official SourceForge repository and GitHub source code.
The installer says “Publisher Unknown”. Is it safe? +
SciDAVis is a community-developed open-source tool. We do not use expensive commercial signing certificates. As long as you download from scidavis.org, the software is safe and virus-free.
Can I install v2.8 alongside older versions? +
Yes. On Windows, you can choose a different installation directory. On macOS, you can rename the app to “SciDAVis 2.8” before moving it to Applications.
Looking for Older Versions?
Access our complete archive of legacy releases and development source code.
SourceForge Archive
Our primary file host since the project’s inception. Contains every stable release from v0.1 to v2.8.
Browse File Cloud →GitHub Source
For developers and power users. Clone the repo, report bugs, or contribute to the next major release.
View Repository →SciDAVis is a fork of QtiPlot. If you are looking for specific legacy documentation, please refer to our Manuals Section.
What’s New in Version 2.8
Explore the latest enhancements in performance, stability, and data visualization tools.
Improved Python 3 Integration
Enhanced scripting engine support for the latest Python distributions, allowing for more robust automation of complex data fitting and analysis workflows.
High-DPI Display Support
Better scaling for 4K and Retina displays. The user interface now remains crisp and clear on high-resolution monitors across Windows and macOS.
Updated GSL Libraries
Integrated with the latest GNU Scientific Library (GSL) for more accurate numerical computations, matrix operations, and non-linear fitting.
Full v2.8 Changelog (Technical Details)
- – Fix: Memory leak during large dataset imports.
- – Add: Support for muParser 2.3.2.
- – Update: Translation files for German, French, and Chinese.
- – Improvement: SVG export rendering for LaTeX symbols.
- – Fix: Stability issues on macOS Monterey/Ventura.
New to SciDAVis? Start Here.
Bridge the gap from installation to your first publication-quality plot with these curated resources.
Unlock the Power of Python
Did you know SciDAVis can be fully automated? Check out our Python Scripting Repository for ready-to-use analysis snippets.
Why Researchers Choose SciDAVis
A powerful, cross-platform software designed for complex data analysis.
| Feature | SciDAVis (v2.8) | Commercial Tools |
|---|---|---|
| License Cost | $0 (Free Forever) | $500 – $1000+ / Year |
| Cross-Platform | Win, macOS, Linux | Often Windows only |
| Scripting | Python 3.x Support | Proprietary Languages |
| Open Source | Yes (GPL) | No (Black Box) |
Cite SciDAVis in Your Research
If you use SciDAVis to analyze data or create figures for your peer-reviewed publications, please cite the project to support its continued development.
This helps us demonstrate the software’s impact to the scientific community and secure future updates.
Secure & Transparent
Your Research Data Stays Yours
Unlike subscription-based alternatives, SciDAVis is truly open-source. We believe that scientific tools should be as transparent as the research they produce.
- ✓ Full Privacy: No tracking.
- ✓ Perpetual License: Free forever.
- ✓ GPL Compliance: Open source code.
- ✓ No Vendor Lock-in: Open formats.
“The ability to audit the source code ensures that the mathematical algorithms used in your analysis are correct and unbiased.”
Meet High-Impact Journal Standards
SciDAVis v2.8 is engineered to produce figures that meet the strict technical requirements of leading scientific publishers.
1200 DPI Rendering
Export raster images (TIFF, PNG) at ultra-high resolutions required for print by Nature and Science.
Lossless Vector Output
Native support for PDF, EPS, and SVG formats, ensuring your plots remain sharp at any zoom level in LaTeX or Word.
CMYK Color Support
Prepare your data visualization for physical journals with compatible color profiles for professional printing.
LaTeX Integration
Easily insert Greek letters, mathematical symbols, and sub/superscripts using standard LaTeX syntax.
Compatible with figure guidelines from
Trusted by the Global Scientific Community
SciDAVis has become a staple tool in laboratories and universities worldwide, providing a reliable alternative to expensive proprietary software for over a decade.
t = scidavis.table(“Table1”)
# Automate data fitting
f = scidavis.fit(t, “Col2”)
f.setFunction(“a*x + b”)
f.fit()
print(“Process Complete”)
Extend SciDAVis with Python
Take full control of your workflow. SciDAVis v2.8 features a built-in Python 3.x scripting window, allowing you to automate repetitive tasks and create custom analysis tools.
- Batch process hundreds of CSV/ASCII files.
- Access NumPy and SciPy libraries within plots.
Ready to Transform Your Data?
Join thousands of scientists, engineers, and students who trust SciDAVis for their daily research and publication needs. No strings attached.
Support the Project
SciDAVis is maintained by volunteers. Your bug reports, documentation edits, and code contributions keep the project alive.
Mailing List
Stay updated on new releases and security patches. Join our community discussion on SourceForge.
Legacy Access
Need v1.x or v2.3? Visit our archive for specific build requirements and older OS support.
SCIDAVIS.ORG • THE OPEN SOURCE SCIENTIFIC STANDARD