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Sign in to get your referral linkA neutral, no-signup look at the main tools researchers use to make figures and run stats - GraphPad Prism, OriginLab, SPSS, R/ggplot2, Python/matplotlib, Excel and Plotivy. There is no single best tool; the right one depends on your budget, your field, and how much you value reproducible code. Use the quick recommender below, then check the full matrix.
Answer four questions for an honest recommendation.
| Tool | Cost | Learning curve | Reproducibility | Stats depth | Best for |
|---|---|---|---|---|---|
| GraphPad Prism | $200-$600/yr per seat | Gentle - point-and-click | Low - proprietary .prism files | Excellent - built-in tests and curve fitting | Wet-lab biology where the stats workflow lives in the GUI and a license is already paid for. |
| OriginLab (Origin / OriginPro) | $$ commercial license | Moderate - deep but dense GUI | Low - project files, optional scripting | Strong - signal processing, peak analysis, fitting | Engineering, physics and materials work with large multi-curve datasets and spectral analysis. |
| IBM SPSS | $$ subscription license | Gentle - menu-driven | Moderate - syntax files possible | Excellent - broad statistical coverage | Social science, psychology and clinical research where SPSS is the expected analysis standard. |
| R / ggplot2 | Free and open source | Steep - you write code | Excellent - scripts run anywhere | Excellent - vast statistical ecosystem | Statisticians and data-heavy researchers who want full control and fully reproducible analysis. |
| Python / matplotlib | Free and open source | Steep - you write code | Excellent - scripts run anywhere | Strong - via SciPy, statsmodels, pandas | Researchers already working in Python who want reproducible figures alongside their analysis pipeline. |
| Microsoft Excel | Bundled with Office | Gentle - everyone knows it | Low - manual, hard to audit | Basic - limited built-in tests | Quick exploratory charts and simple data you already keep in spreadsheets. |
| Plotivy | Free | Gentle - natural language | Excellent - exports open Python/R code | Good - common tests and curve fitting | Researchers who want reproducible, publication-quality figures without writing matplotlib/ggplot from scratch. |
Prices are approximate and vary by region, license type and academic discounts. Last reviewed June 2026.
Plotivy is free, runs in any browser, and gives you the editable Python or R code behind every figure - so your results stay reproducible. It will not replace GraphPad or SPSS for guided-stats depth, but for most publication figures it is a fast, no-cost middle ground.
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