The Professional Open Source Alternative to OriginLab

Publication-Quality Plotting

Create a wide range of 2D and 3D plots, including scatter, line, bar, pie, and surface plots. Fully customize axes, scales, fonts, and legends to meet the strict requirements of top-tier scientific journals.

Expert Data Analysis

Perform sophisticated analysis including non-linear curve fitting (with built-in or custom models), FFT, integration, differentiation, and statistical tests to extract meaningful insights from raw data.

Python Automation

Built-in Python integration allows for advanced automation. Write custom scripts to handle repetitive tasks, develop proprietary analysis algorithms, and enhance functionality through the Python ecosystem.

Truly Free & Extensible

No subscriptions, no watermarks, and no hidden costs. As a GPL-licensed project, you have the freedom to use, modify, and distribute the software for any academic or commercial purpose.

Why Choose SciDAVis?

SciDAVis provides a powerful, cost-effective workflow for researchers who need professional results without the high-cost subscription of proprietary software.

Broad Data Compatibility

Effortlessly import your existing research data. SciDAVis supports a wide array of formats used in modern laboratories:

• ✔ ASCII & CSV Files
• ✔ Excel (.xls, .xlsx)
• ✔ SQL Databases
• ✔ Binary Files
• ✔ LabPlot Projects
• ✔ Python Data Structures

Curve Fitting & Regression

• Non-Linear Least Squares: Utilizing the Levenberg-Marquardt algorithm for precise parameter estimation.
• Built-in Models: Instant access to Linear, Polynomial, Exponential, Gaussian, Lorentzian, and Boltzman functions.
• User-Defined Functions: Create custom fit models with an unlimited number of parameters using Python or MuParser.
• Global Fitting: Perform multi-peak analysis and baseline subtraction for complex spectroscopy data.

Signal & Image Processing

• FFT & Inverse FFT: Comprehensive tools for frequency domain analysis with multiple windowing options.
• Filtering & Smoothing: Savitzky-Golay, Moving Average, and FFT-based smoothing to reduce experimental noise.
• Calculus Operations: Numerical integration (trapezoidal/Simpson) and differentiation of datasets.
• Correlation & Convolution: Analyze the relationship between time-series data with built-in matrix operations.

Physics & Engineering

Ideal for analyzing experimental data from oscilloscopes, sensors, and material testing. Supports error bars, residuals analysis, and complex wave-form transformations.

Chemistry & Spectroscopy

Process UV-Vis, FTIR, and NMR data. Perform peak picking, baseline correction, and multi-peak fitting to resolve overlapping spectral bands with high precision.

Life Sciences & Pharma

Visualize biological trends, enzyme kinetics, and dose-response curves. Create high-resolution box plots and histograms for statistical population studies.

A Streamlined Workflow for Researchers

SciDAVis is designed around a project-based logic that keeps your tables, plots, and notes organized in a single workspace.

The interface strikes a balance between the classic Origin-style spreadsheets and modern dockable panels.

• Dockable Windows Yes
• Matrix Support Yes
• Command Line (Python) Integrated
• Undo/Redo History Full

Advancing Open Science & Reproducibility

In modern research, transparency is as important as the results themselves. SciDAVis empowers the Open Science movement by ensuring that your data analysis pipeline is never locked behind proprietary black boxes.

“Proprietary software is a risk to the permanence of scientific data. By choosing open-source tools like SciDAVis, we ensure that the methodology remains accessible to the entire global scientific community, regardless of institutional funding.”

— The Open Research Initiative

“As a PhD student in Spectroscopy, I needed a tool that could handle complex peak fitting without the $1000 price tag. SciDAVis is a lifesaver—stable, fast, and the Python integration is brilliant.”

“We transitioned our entire undergraduate lab from Origin to SciDAVis. The learning curve is minimal, and the fact that students can install it on their own Linux or Mac laptops for free is a game changer.”

“The vector export quality (SVG/EPS) is superior. I’ve had several figures accepted in Elsevier journals that were plotted entirely in SciDAVis. Highly recommended for publication-grade work.”

OS Support

• Windows: 7, 8, 10, and 11 (64-bit recommended)
• macOS: 10.15+ (Intel & Apple Silicon via Rosetta 2)
• Linux: Ubuntu, Debian, Fedora, Arch (via PPA or Flatpak)

Minimum Hardware

• Processor: 1 GHz Dual-Core CPU
• Memory: 512 MB RAM (2 GB recommended for large datasets)
• Storage: 100 MB available disk space

Core Libraries

Built upon industry-standard open-source numerical and UI frameworks:

Non-Linear Curve Fitting

A technique used to model experimental data by minimizing the sum of squares of the vertical deviations between the data and a curve. SciDAVis uses the Levenberg-Marquardt algorithm for reliable convergence in complex models.

FFT (Fast Fourier Transform)

An algorithm that computes the discrete Fourier transform (DFT) of a sequence. It converts a signal from its original domain (often time or space) to a representation in the frequency domain, essential for signal processing.

Residuals Analysis

The study of the difference between observed and predicted values. SciDAVis allows you to plot residuals to verify if your chosen regression model (Gaussian, Linear, etc.) appropriately describes your experimental dataset.

Vector Graphics (SVG/EPS)

Unlike raster images (JPG/PNG), vector graphics are based on mathematical paths. This ensures your scientific plots remain perfectly sharp at any magnification level—a requirement for high-impact factor journals.

Baseline Subtraction

A critical step in Spectroscopy where the background noise or offset is removed from the signal. SciDAVis provides intuitive tools to define and subtract baselines for cleaner peak analysis.

Multi-Layer Graphing

The ability to place multiple independent axes or panels within a single figure. This is used for comparative studies where different data scales need to be visualized simultaneously on one page.

Is SciDAVis completely free?

Yes, SciDAVis is released under the GNU General Public License (GPL). You can download, use, and distribute it for both academic and commercial research without any licensing fees.

Does it work on macOS and Linux?

Absolutely. Unlike many competitors, SciDAVis is truly cross-platform and runs natively on Windows, macOS, and various Linux distributions.

Can I import OriginPro project files?

While SciDAVis has its own project format (.sciprj), it can import many common data formats used by OriginPro, such as ASCII, CSV, and Excel, ensuring a smooth transition for your research data.