SciDAVis vs LabPlot: Which Free Plotting Tool Fits Your Workflow?

If you are looking for a free alternative to Origin or SigmaPlot, two names keep coming up: SciDAVis and LabPlot. Both are free and open source, both aim at publication-quality scientific plotting, and both grew out of the same Origin-style workflow of tables, matrices, and plot windows. They are not the same tool, though. This page compares them honestly so you can choose the right one for your work.

For context: SciDAVis is a free, open-source scientific data analysis and plotting program (GPL license) built around the classic Origin workflow. You can download SciDAVis for Windows, macOS, and Linux. LabPlot is the KDE project’s free application for interactive visualization and analysis of scientific data, also free and open source, and available for Linux, Windows, and macOS.

The quick comparison

Dimension	SciDAVis	LabPlot
License	Free and open source (GPL)	Free and open source (GPL)
Project home	Community project, developed by volunteers (see the upstream repository linked from our download page)	KDE project — see labplot.kde.org
Platforms	Windows, macOS, Linux — deliberately built with no KDE dependencies, so it installs lightly everywhere	Linux, Windows, macOS — KDE integration is strongest on Linux
Development activity	Light maintenance cadence; stable and usable, but new features arrive slowly	Actively developed — the most actively developed free GUI scientific plotting tool at the time of writing
Workflow	Classic Origin-style workflow: tables, matrices, and plot windows in a lightweight interface with a shallow learning curve	Modern, project-based workflow with a docked, feature-rich interface
2D plotting	Line, scatter, bar, histogram, pie, and multi-layer plots with fine control over axes, legends, and annotations — see our multi-layer plots tutorial	Broad 2D plot support with a modern property editor
3D plotting	Surface plots via QwtPlot3D	3D plotting with a modern renderer
Curve fitting and analysis	Built-in fitters (linear, polynomial, exponential, Gaussian, Lorentzian), FFT, integration, smoothing — see our curve fitting tutorial	Curve fitting, interpolation, and a growing set of analysis functions
Scripting	Python scripting plus muParser formulas — see our Python scripting tutorial	Python and other scripting interfaces
Importing Origin projects	Reads legacy Origin OPJ projects via liborigin — see our OPJ import guide	Import support for common data formats; check current docs for OPJ details
Best for	A lightweight, cross-platform, Origin-like tool that installs quickly and stays out of your way	A modern, actively developed plotting environment, especially on Linux/KDE systems

Development activity: where the two diverge most

The single biggest practical difference between these two tools is not a feature list — it is the pace of development. LabPlot is backed by the KDE ecosystem, with regular releases, active maintainers, and a public roadmap. If you value new features, modern UI polish, and quick bug fixes, that momentum matters.

SciDAVis runs at a quieter pace. Its core has been stable for years, which is genuinely a feature for some users: the interface you learn this semester still looks the same next semester, and old project files keep opening. But if you need the newest analysis methods or the latest platform integrations, active development is worth weighing — and right now, LabPlot has it.

Workflow and interface

Both tools descend from the Origin-style workflow: enter data in tables, turn them into plots, fit curves, and assemble figures. The difference is in feel. SciDAVis is deliberately lightweight — no KDE dependency tree, a small installer, and an interface that stays close to the classic spreadsheet-and-plot-windows model. On older hardware or locked-down lab machines, that lightness is a real advantage.

LabPlot takes the more modern route: a docked, project-based interface with deep property editors and tighter integration with the KDE desktop. It is the more powerful environment on paper, and on a current Linux desktop it feels like the future of the two. On Windows and macOS it works, but the experience is most at home on Linux.

They share a history — which is why they’re so similar

One reason this comparison feels like choosing between siblings is that, historically, the two projects once explored cooperating: back in 2008, the LabPlot and SciDAVis developers found their goals similar enough to discuss sharing a common backend, with two frontends — a KDE-integrated one (LabPlot) and a dependency-free, cross-platform one (SciDAVis). The shared-backend plan never fully materialized, but the two tools kept the same Origin-inspired DNA. That is why both feel instantly familiar if you have ever used Origin, QtiPlot, or SigmaPlot.

The divergence since then is mostly about momentum. LabPlot kept gaining contributors and releases inside the KDE ecosystem; SciDAVis settled into the role of the lighter, more stable, less frequently updated option. Neither trajectory is wrong — they just serve different priorities.

Migrating between them

Switching is low-stakes in both directions because the mental model is the same: tables hold data, plots visualize it, and analysis runs on tables. Practical tips:

• Export via plain formats: move data as CSV or TSV so nothing gets lost in translation; both tools import these cleanly.
• Rebuild, don’t convert: project files are not interchangeable, so recreate your key figures in the new tool rather than trying to convert them — it is usually faster than debugging a half-broken import.
• Recreate your templates: if you have axis styles and color schemes you rely on, note them down once and rebuild them as templates in the new tool.

Which should you pick?

• Pick LabPlot if you want the most actively developed free plotting tool, a modern interface, and the full weight of the KDE ecosystem behind you — especially on Linux.
• Pick SciDAVis if you want the lightest possible Origin-like workflow, easy installs on Windows, macOS, and Linux alike, and a stable interface that does not change under you.

And if you want a broader survey before deciding, our alternatives page compares SciDAVis against the full field of free and commercial plotting tools.