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Sign in to get your referral linkFree Scientific Visualization Tools
Interactive tools that solve the most common visualization problems in scientific research - from choosing the right chart type to verifying your figure meets journal submission standards.
Find the right visualization in 3 clicks (embeddable)
Answer three questions about your data type, number of variables, and research goal. Get a specific chart recommendation with a link to Python code. Includes an embeddable widget you can add to your lab site or blog.
Exact specs for 25+ major journals
Look up DPI, file format, column widths, font size requirements, and color mode specifications for Nature, Science, Cell, PNAS, and 20+ other journals. Searchable and filterable.
Detect and fix the 10 most common quality issues
Paste your matplotlib code and instantly get a checklist of issues that would cause a rejection or revision request: DPI too low, font sizes too small, missing axis labels, wrong color choices, and more.
Start from your research question, not your data type
Browse 35 research scenarios across biology, chemistry, physics, clinical science, and computational research. Each scenario maps directly to the best visualization with a Python code example.
Compare two groups and get an exact p-value
Paste two groups of numbers and get the p-value, group means, and error bars - computed with scipy, not AI. Auto-picks Student’s t-test, Welch’s t-test, or the Mann-Whitney U test, and writes a paste-ready methods sentence.
Compare 3+ groups with Tukey post-hoc
Paste three or more groups and get the F-statistic, p-value, and Tukey HSD pairwise comparisons. Falls back to Kruskal-Wallis automatically when your data is not normal. Exact, reproducible, and paper-ready.
Pearson or Spearman matrix with APA export
Paste your columns and get a full correlation matrix with p-values, significance stars, and means and SDs. Copy it as an APA table, LaTeX, or CSV. Runs entirely in your browser - your data is never uploaded.
OLS coefficients, betas, R-squared and F
Paste data, pick an outcome and predictors, and get a publication-ready OLS regression table - coefficients, standard errors, standardized betas, t, p, plus R-squared and the model F-test. Export to APA, LaTeX, or CSV. Computed in your browser.
Match your situation to the right tool instantly.
| Your Role | Use This Tool |
|---|---|
| PhD Student | Chart Type Selector → |
| Postdoc | Matplotlib Upgrader → |
| PI / Lab Head | Journal Requirements Checker → |
| Research Scientist | Research Plot Finder → |
30+ chart types with complete Python code and live previews.
Curve fitting, statistics, signal processing - in-depth Python guides.
Upload data and generate publication-ready figures with AI assistance.
Folder structures, metadata, data dictionaries, licensing, and FAIR practices.
Plotivy's AI analyzes your data, selects the right chart type, generates Python code, and creates a publication-ready figure - all from a simple prompt.
Generate My Figure