MetaReview

Best Free Meta-Analysis Software Compared (2026)

MetaReview vs RevMan vs R vs Stata vs Covidence vs Meta-Mar — features, pricing, and learning curve side-by-side

Table of Contents

  1. Why This Comparison Matters
  2. Quick Comparison Table
  3. Detailed Reviews of Each Tool
  4. Decision Tree: 3 Questions to Choose
  5. MetaReview vs RevMan: Head-to-Head
  6. Pricing Comparison
  7. Real-World Walkthrough
  8. Frequently Asked Questions

Why This Comparison Matters

The first decision in any meta-analysis isn't about your research question — it's about choosing the right tool. Pick the wrong software and you could waste weeks learning to code, spend hundreds of dollars on a license you don't need, or discover halfway through that critical features are missing.

This guide compares the 6 most-used meta-analysis tools in 2026 across five dimensions: feature coverage, pricing, learning curve, chart quality, and report export.

Short on time? MetaReview is the only tool that's free, online, requires no coding, and includes statistical analysis, 11 chart types, AI screening, and DOCX export. Try it now →

Quick Comparison: 6 Meta-Analysis Tools at a Glance

Feature MetaReview RevMan R (metafor) Stata Covidence Meta-Mar
Price Free Registration Free $895+ $225/yr €19-69
Installation None Required Required Required None None
Coding Required No No R code Stata code No No
Time to Learn 5 minutes 1-2 days 1-4 weeks 1-4 weeks 30 minutes 30 minutes
Statistical Analysis
Effect Size Types OR/RR/HR/MD/SMD OR/RR/MD/SMD All All No statistics OR/RR/MD/SMD
Survival Data (HR)
Subgroup Analysis
Meta-Regression
Cumulative Analysis
Trim-and-Fill
Dose-Response
Prediction Interval
GRADE Assessment Package Package
Charts & Visualizations
Forest Plot ✓ SVG/PNG
Funnel Plot ✓ + Contour
Galbraith Plot
L'Abbe Plot Package
Baujat Plot Package
Network Meta-Analysis
PRISMA Flow Diagram
Research Workflow
PubMed Search ✓ Built-in
AI Literature Screening
RIS/EndNote Import
Paste from Excel
Report Export
DOCX Report
HTML Report
Methods Paragraph ✓ Auto
Results Narrative ✓ Auto
JSON Data Export

Data as of February 2026. RevMan refers to RevMan Web. R refers to the meta/metafor packages.

Detailed Review: Pros and Cons of Each Tool

1. MetaReview — Free Online All-in-One Tool

Strengths

  • Completely free, no paywalls or trials
  • Runs in your browser, nothing to install
  • 5-minute learning curve with guided tour
  • Built-in PubMed search + AI screening
  • 11 chart types (forest, funnel, Galbraith, L'Abbe, Baujat, network, etc.)
  • One-click DOCX/HTML report export
  • Auto-generates Methods + Results paragraphs
  • Supports HR (hazard ratio) survival data
  • Data stored locally in your browser — complete privacy
  • Shareable analysis links for collaboration

Limitations

  • No custom statistical models
  • Network meta-analysis limited to visualization
  • Browser-based storage requires manual backup
  • Newer tool with a growing community

Best For

Graduate students doing their first meta-analysis, clinicians with limited time, researchers without programming skills, and teams with no software budget.

2. RevMan — Cochrane's Official Tool

Strengths

  • Cochrane Collaboration's official tool
  • High academic credibility
  • Mature and stable
  • Built-in Risk of Bias (RoB) assessment

Limitations

  • Dated interface with steep learning curve
  • No meta-regression
  • No Galbraith, L'Abbe, or Baujat plots
  • No dose-response analysis
  • No auto-generated paragraphs
  • Requires Cochrane account registration

Best For

Cochrane systematic review authors, researchers already familiar with RevMan, and teams that specifically need RoB assessment.

3. R (meta/metafor) — The Programmer's Choice

Strengths

  • Free and open-source
  • Most comprehensive statistical capabilities
  • Infinitely customizable
  • Large academic community
  • Excellent reproducibility

Limitations

  • Requires R programming skills (1-4 weeks to learn)
  • Must install R + RStudio
  • No graphical user interface
  • Debugging can be time-consuming
  • Chart formatting requires extra code

Best For

Researchers with programming experience, teams needing highly customized analyses, and statisticians.

4. Stata — Commercial Statistical Software

Strengths

  • Comprehensive statistical features
  • Mature metan package
  • Commercial technical support
  • High academic credibility

Limitations

  • Expensive ($895+ perpetual license)
  • Requires Stata programming
  • Desktop installation required
  • Meta-analysis features need add-on packages

Best For

Institutions with existing Stata licenses, researchers who use Stata for other analyses, and teams with dedicated software budgets.

5. Covidence — Screening Management Platform

Strengths

  • Excellent screening workflow
  • Team collaboration features
  • PRISMA flow diagram
  • Cochrane integration

Limitations

  • $225/year subscription
  • No statistical analysis at all
  • Cannot generate forest or funnel plots
  • Must pair with another tool for analysis

Best For

Large teams focused on systematic review screening who will use a separate tool for statistical analysis.

6. Meta-Mar — Online Meta-Analysis

Strengths

  • Online, no installation
  • Clean interface
  • Covers basic analysis needs

Limitations

  • €19-69 per project
  • No advanced analyses (meta-regression, dose-response)
  • No AI screening
  • No PubMed search
  • No DOCX report export
  • No HR survival data support

Best For

Researchers who prefer a paid tool with a simple interface and need only basic meta-analysis features.

Decision Tree: 3 Questions to Pick Your Tool

  1. Can you write code?
    • No → Rule out R and Stata
    • Yes, and you need full customization → Use R/metafor
  2. Do you have a software budget?
    • No (student / self-funded) → MetaReview (free, no coding) or R (free, coding required)
    • Yes (grant funding) → Consider Stata or Covidence
  3. What do you need?
    • Just literature screening → Covidence
    • Full meta-analysis + report → MetaReview
    • Cochrane systematic review → RevMan
    • Complex custom statistical models → R or Stata
For 90% of medical meta-analyses (pooled effect sizes + forest plot + funnel plot + subgroup analysis + report), MetaReview handles everything — and it's free.

MetaReview vs RevMan: Head-to-Head Comparison

RevMan is one of the most widely used meta-analysis tools, but it has notable gaps. Here's how it compares with MetaReview feature-by-feature:

FeatureMetaReviewRevMan Web
Meta-Regression✓ Scatter + regression + CI band
Dose-Response✓ Linear + quadratic
Galbraith Plot
L'Abbe Plot
Baujat Plot
Influence Diagnostics✓ 6 dimensions
Begg's Test
Contour Funnel Plot
Forest Plot Sorting✓ 5 modesLimited
Forest Plot Tooltips✓ Interactive
PubMed Search✓ Built-in
AI Screening
Methods Paragraph✓ PRISMA format
Paste from Excel
Clinical Interpretation
Undo/Redo✓ 50 stepsBasic
Risk of Bias (RoB)✓ Built-in
Team Collaboration
RevMan's unique advantage is its built-in Risk of Bias (RoB) tool and deep Cochrane ecosystem integration. If you're conducting a Cochrane review, RevMan is still the standard. But for independent meta-analyses, MetaReview offers broader feature coverage.

Pricing: How Much Does a Meta-Analysis Cost?

Tool Price Billing Student Discount
MetaReview $0 Free forever Free
R + RStudio $0 Open source Free
RevMan Web Free* Cochrane account Free*
Meta-Mar €19-69 Per project None
Covidence $225/yr Annual Free (1 review)
Stata $895+ Perpetual $225 (educational)

* RevMan Web is free for registered Cochrane users.

For researchers on a tight budget, MetaReview is the zero-cost, full-featured option. No need to justify a software purchase to your advisor or apply for funding — just open your browser and start.

Real-World Walkthrough: Running a Meta-Analysis in MetaReview

Suppose you want to analyze "Aspirin vs Placebo for Cardiovascular Event Prevention." Here's the complete workflow:

  1. Search Literature — Use MetaReview's built-in PubMed search. Enter keywords and filter by RCT study type
  2. AI Screening — One-click AI screening automatically classifies each study as include/exclude/maybe with confidence scores and reasoning
  3. Enter Data — Type event counts and sample sizes into the data table, or paste directly from Excel/Google Sheets
  4. Run Analysis — Select OR + random-effects model, click Analyze
  5. Review Results — Automatically generates forest plot, funnel plot, cumulative analysis, sensitivity analysis, GRADE assessment, and more
  6. Export Report — One-click DOCX export with complete Methods and Results paragraphs ready for your manuscript
  7. Share — Generate a shareable link so your co-authors can view the full analysis online

Total time: data entry + analysis + export takes about 30 minutes (excluding literature search and full-text reading).

MetaReview includes a built-in demo dataset (7 Aspirin RCTs) so you can experience the full workflow immediately. Try the live demo →

Frequently Asked Questions

What is the best free meta-analysis software?
MetaReview is the best free meta-analysis software for most researchers. It runs entirely in your browser, supports 5 effect size types (OR, RR, HR, MD, SMD), generates 11 chart types, includes AI-powered literature screening, and exports complete DOCX reports. R with the metafor package is also free but requires programming skills.
Is there a free alternative to RevMan?
Yes. MetaReview is a free online alternative that surpasses RevMan in several areas: meta-regression, dose-response analysis, Galbraith/L'Abbe/Baujat plots, influence diagnostics, GRADE assessment, and automated paragraph generation. RevMan's unique strengths are its Risk of Bias tool and Cochrane ecosystem integration.
Can I do a meta-analysis without coding?
Absolutely. MetaReview, RevMan, Covidence, and Meta-Mar all provide visual interfaces that require no programming. MetaReview is the only free option among these that also includes full statistical analysis. Enter your data, and it calculates effect sizes, generates plots, and exports reports automatically.
Do I need R or Stata for meta-analysis?
Not necessarily. For standard meta-analyses (pooled effect sizes, forest plots, subgroup analysis, sensitivity analysis), free online tools like MetaReview handle everything without code. R or Stata are only essential for highly customized statistical models or niche analyses not available in GUI tools.
Which tool generates the best forest plots?
MetaReview and R produce the most customizable forest plots. MetaReview offers 3 color schemes, adjustable fonts, weight display, custom labels, 5 sorting options, interactive tooltips, prediction intervals, and SVG/PNG export — all without code. R provides unlimited customization but requires programming.
How much does meta-analysis software cost?
Costs range from free to $895+. MetaReview and R are completely free. RevMan requires a Cochrane account. Meta-Mar charges €19-69 per project. Covidence costs $225/year. Stata starts at $895. For most researchers, MetaReview offers the best value as a free, full-featured option.
Can I export results to Word (DOCX)?
MetaReview, RevMan, and Covidence support DOCX export. MetaReview's export is the most comprehensive: auto-generated Methods and Results paragraphs, all statistical tables, all charts, GRADE assessment, influence diagnostics, and up to 15 customizable report sections — ready to paste into your manuscript.
Is my data safe in an online tool?
In MetaReview, all data is stored locally in your browser's localStorage. Nothing is uploaded to any server. Your data persists between sessions but we recommend regular CSV or JSON backups. This architecture ensures your research data remains entirely under your control.

Start Your Meta-Analysis for Free

Zero cost. Zero coding. Zero installation. From data to forest plot in 5 minutes, with one-click Word report export.

Try MetaReview Now

See live example: Aspirin vs Placebo Meta-Analysis (7 RCTs) →

Stay Updated

Get notified about new features and meta-analysis tips.

No spam. Unsubscribe anytime.