Every figure your research needs — publication‑ready from the first render.

No. DataViz Pro is fully no-code. You load and prepare the data, choose the plot, customise it and export it through the interface — with built-in tutorials inside the modules.

Use each for what it does best. A chat assistant is useful for ideas, or a first draft of plotting code. DataViz Pro is for the figure you publish: it reads your whole dataset — genome-wide marker files included — runs the tests you choose and draws them on the plot, gives the same figure every time you use the same settings, and exports at the exact size and DPI the journal asks for. Your files stay in your own workspace and are never sent to an AI service. If you turn on our optional AskNura assistant, it works from summaries of your data, never the files. Sketch with AI if you like; make the final figure here.

Yes. Explorer is free, with no time limit and no card: every one of the 31 modules, with our built-in sample datasets, and a screen-quality PNG export. To work with your own data, choose Researcher: your files up to 60 MB and full publication export — PNG and JPEG up to 1,200 DPI, PDF and SVG. Want to see it on your own data first? Request a guided demo.

Only the size of the data. Both have every module and every plot, including GWAS, LD and kinship. Researcher runs in the Standard workspace — field trials, expression tables and GWAS results files up to 60 MB. Big Data adds a larger workspace for raw genome-wide marker files: VCF, HapMap or SNP matrices, files up to 2 GB. Need it once? Take a 7-day pass.

Yes. In India, prices are in rupees plus 18% GST, with a GST invoice. Outside India, prices are in US dollars and the price shown is the total you pay. Pick your currency with the India (₹) / International ($) switch above the plans.

31 modules in seven families, holding more than 150 plot types and views between them. Most modules hold many inside: Regression alone has forty views across 13 model families, Population Structure has sixteen, and Circos has nine. The explorer on this page lists them module by module.

CSV, TXT, TSV and Excel for standard data, up to 60 MB per file and several files at once (own files need a paid plan; Explorer uses the sample data). Genotype files as VCF (including .vcf.gz), HapMap or numeric matrices. Very large files up to 2 GB — CSV, TXT, RDS, VCF or HapMap — go through the Big Datasets workflow, on the Big Data plan or a 7-day pass. Seven curated sample datasets are built in.

Yes. Data Preview checks structure, missing values and duplicates; recodes types and values; edits cells, rows, columns and names; fills missing values seven ways; groups, aggregates and subsets; converts long to wide and back; and joins tables by key — with an undo for the last ten steps.

Yes. It detects VCF, HapMap, GBS / TASSEL and numeric formats and converts them to 0/1/2, 0/0.5/1, −1/0/1 or 0/1, with a choice of reference allele, handling for multiallelic sites and IUPAC codes, and quality filters on minor-allele frequency, missingness and heterozygosity. The converted matrix and its marker map go straight to your plots, or out as CSV, TXT or RDS.

Both, where the figure needs it. It runs group comparisons, correlation tests, regression in 13 model families, PCA, clustering, LD and LD-decay fits, kinship and distance matrices, spatial autocorrelation and trend models, and population-structure analyses. For GWAS, QTL and differential-expression plots it draws your completed results — summary statistics, LOD scans or DESeq2, edgeR, limma and Seurat tables.

Yes. The GWAS module draws linear and circular Manhattan plots and Q-Q plots, for one trait or many, with genes or SNPs named on the peaks, annotation tracks and ideograms, highlighted hits and thresholds you set — plus genomic inflation and independent-loci summaries.

Everything on it, through nine panels beside every plot: appearance, grouping and colour, labels with math notation, axis text, 19 themes, legends, multi-panel layouts, annotations and statistics. Each panel has its own apply and undo.

PNG and JPEG at up to 1,200 DPI, and PDF and SVG as vectors, at a width and height you set between 3 and 20 inches — with a preview and an estimated file size before you download. Most modules also have an interactive mode for zooming and hovering on screen.

No. It was built by plant breeders and quantitative geneticists, and its genomic and field modules show it, but the distribution, comparison, relationship, multivariate and heatmap modules serve any data-driven discipline — and the volcano plots read gene-expression and proteomics results.

Yes, please do. Cite it as:

Hussain, W. (2026). DataViz Pro: publication-ready data visualization for plant science (Version 1.2) [Web application]. PlantNura Consulting & Solutions LLP. https://plantnura.com/tools/datavizpro.html

In your methods you can write: “Figures were created with DataViz Pro v1.2 (Hussain, 2026).” The same citation, with a BibTeX entry, is shown in the app while your workspace starts. If you would like the figures made for you, that is part of every BioMetriK Consulting engagement.

No. DataViz Pro runs in a supported web browser as an AWS-hosted application — no local installation, dependencies or manual updates.

Yes. Files move over an encrypted connection into a private workspace that exists only for your session. They are processed inside DataViz Pro and never sent to an AI service or any third party (if you turn on our optional AskNura assistant, only summaries of your data are used to answer you; see the privacy policy), and when the session ends the workspace is removed, with your files. We keep your account, your plan and your session times, not your data. The detail is in our privacy policy, and how the workspace is built is in our article Shiny in production on AWS.

AskNura is an optional assistant inside DataViz Pro that sets up plots, prepares data and explains results, asking before it changes anything. It is off until you turn it on. It works from your messages, the settings you have open, your data’s column names and summary figures, and a plot only when you share it. It never sees your files or data rows. It can read your project’s name and the list of figures, but saving and opening projects stay with you. The privacy policy has the details.

Yes. Press Project at the top right of the app and choose Save: one file with your datasets and the settings of every figure you made downloads to your computer. Later, on any computer, choose Open and each figure is rebuilt exactly, pixel for pixel. Nothing about your data is stored by us; a project file contains your data, so keep it as you keep your data files.

Each figure in the Project panel also has a Settings file: a small file with that figure’s settings, the DataViz Pro version and a fingerprint of your data (column names, size and a one-way code — never the data itself). It is ideal to keep with a manuscript, send to a co-author, or apply the same look to another dataset; Open takes it too.

Yes. Nothing you upload is kept after your session, shared with anyone or used to train models. For extra protection, give lines, markers and samples coded names and keep the key yourself — the figure is the same. Institutes can sign a data-processing agreement before any data is loaded.