Roadmap

An evolving view of LabPlot’s release priorities

This roadmap shows the areas currently receiving attention and the directions planned for upcoming releases. It is a living plan: priorities and delivery dates can change as contributors, feedback, and opportunities evolve. The roadmap mentions only bigger topics and developments, for the full list of changes we refer to the ChangeLog and to the release announcements.

Current release

Available now

LabPlot 2.12 is the stable release line, with ongoing maintenance and improvements for day-to-day scientific work.

Data visualization

Continual Improvement Plots (Run Chart and the Process Behavior Chart), inverse axis scale for Arrhenius plots and better and multiple UX improvements for the different plot types.

Data Analysis

Calculations on curves by defining a new curve as a function of another curve, extendede fit results and more advanced features in the spreadsheet like conditional formatting, sparklines, etc. also for live data sources.

Import/Export

Support for MCAP format, import datasets from kaggle.com, better support for multilayer graphs in OPJ (Origin) projects, faster import of big ASCII files on Windows .

Software Development Kit

Shared library including the core functionality of LabPlot as part of the installation that can be used in external projects, improved documentation and examples.

Next release

In development

The next release 3.0 adds significant developments (see also this for more details) which also explains the bump of the major version.

Python Scripting

Use Python to automate tasks within running LabPlot instance and also in external applications.

Hypothesis Tests

Statistical hypothesis tests (paramentric and non-parametric, categorical, timeseries tests, ANOVA, etc.).

Data Visualization

Inset plots, stacked line plots, Pareto chart.

Data Analysis

Seasonal decomposition with STL and MSTL methods, LOWESS smooth method, baseline correction analysis in the plot, Auto-recalculate option for analysis curves.

Import and export

Import directories (multiple files in one step), support Unix timestamps, import data from Apache Parquet, Arrow IPC (Feather) and Apache ORC files.

Performance and reliability

Improved performacne in various areas - drawing of data, importing JSON files with a large number of elements, save/load of text and datetime columns, cutting and masking of cells in the spreadsheet.

Next-to-next release

Planned

The next-to-next release 3.1 will add more support for various domain specific wokflows and visualizations and improve the performance of the application for big datasets.

Extented support for domain-specific workflows

More and extended support for domain-specific visualizations and fit models.

3D plots

3D line, scatter and surface pltos.

Notebook interface

Improved table of contents panel, resize of images, more cells actions (split and merge, copy&paste, duplicate, etc.).

Performance and reliability

improve the performance of the application when working with extensive datasets, especially the more efficient save and load of projects with a lot of data.

Have an idea that belongs on the roadmap? Share it through the LabPlot discussion channel or report a feature request or contact us via email.