Week 45, updated 2 Nov 2026

Compare Research & web data

Firecrawl vs MarkItDown

Updated : the last week a score, rank or safety result on this page changed.

Firecrawl

78

#1 overall, #1 in Research & web data

No issues found

  • Maintenance 30%8016
  • Adoption 30%8183
  • Docs 20%6969
  • Community 20%, not measured yet––

MarkItDown

54

#22 overall, #3 in Research & web data

No dependencies scanned

Firecrawl scores 24 points higher. Firecrawl leads on maintenance; MarkItDown leads on adoption.

What this does not tell you

Scores are percentiles of public GitHub signals. Nobody here tested these tools hands-on, so the higher score is not a verdict on which suits your project. Yellow marks the higher value.

Which one fits you

From measured data and licences, not from testing.

Pick Firecrawl if

  • Recent activity and releases matter most to you (maintenance 80).
  • You want the tool whose automated scan found no issues.

Pick MarkItDown if

  • You want the more widely adopted option (adoption 83).
  • You need a permissive open-source licence (MIT).

Safety side by side

Automated scan, 2 Nov 2026. Not a manual audit.

  • No issues foundFirecrawlNo issues found in this week’s scan
  • No dependencies scannedMarkItDownCode checks clean, no lockfile to check
Why different labels?

A label partly reflects how much of each tool is visible and scannable, not only how risky it is. A tool without a lockfile cannot get a dependency check.

  • Firecrawl: no issues found
  • MarkItDown: code and instruction-file checks found nothing, but there is no runtime lockfile or manifest, so dependencies were not checked

Repo facts

Yellow = the higher value, where higher is better.

FactFirecrawlMarkItDown
Score7854
Stars197,743193,454
Last push2 Nov28 Oct
Releases, 90 days10+4
LicenceAGPL-3.0MIT
Open sourceOpen sourceOpen source
LanguageTypeScriptPython
TypeAI toolAI tool
Runs locallyyesyes
Hosted optionmentionedunknown

“Runs locally” and “Hosted option” are read from each README automatically (or from the official docs where noted); “unknown” means no evidence was found, not that it is absent.

Questions about Firecrawl vs MarkItDown

Answers use this week's StackGrade data.

Firecrawl or MarkItDown: which scores higher on StackGrade?

Firecrawl scores 24 points higher in Week 45: Firecrawl 78, MarkItDown 54 out of 100. The score combines maintenance, adoption and docs (percentiles of public GitHub signals): Firecrawl 80, 81 and 69; MarkItDown 16, 83 and 69. Community (20% weight) is not measured yet. It is not a hands-on test, so a higher score does not say which tool suits your project.

Is Firecrawl or MarkItDown safer to use?

Safety labels from the automated scan of 2 Nov 2026: Firecrawl: No issues found, no issues found in this week’s scan; MarkItDown: No dependencies scanned, code checks clean, no lockfile to check. “No dependencies scanned” means the code checks were clean but there is no lockfile, so dependencies could not be checked; it is not a clean bill. It is an automated scan, not a manual audit.

Which is more widely used, Firecrawl or MarkItDown?

By GitHub stars: Firecrawl 197,743, MarkItDown 193,454. Adoption score (percentile among all 52 tracked tools): Firecrawl 81, MarkItDown 83. Stars are one public signal and do not measure real-world use.

Which licences do Firecrawl and MarkItDown use?

Firecrawl: AGPL-3.0; MarkItDown: MIT. Read each licence text before commercial use.

Should I pick Firecrawl or MarkItDown?

Pick Firecrawl if recent activity and releases matter most to you (maintenance 80); you want the tool whose automated scan found no issues. Pick MarkItDown if you want the more widely adopted option (adoption 83); you need a permissive open-source licence (MIT). This comes from measured public data and licences only, not from hands-on testing.

Full comparison table, every criterion
Firecrawl vs MarkItDown, data from 2 Nov 2026
 Firecrawlfirecrawl/firecrawlMarkItDownmicrosoft/markitdown
Score78 54
Rank#1 overall · #1 in use case#22 overall · #3 in use case
Maintenance (30%)8016
Adoption (30%)8183
Docs (20%)6969
Community (20%)not measurednot measured
Safety No issues found No dependencies scanned
LicenseAGPL-3.0MIT
Open sourceOpen sourceOpen source
LanguageTypeScriptPython
Stars197,743193,454
Last push
TypeAI toolAI tool
Runs locallyyes (README: "npx -y f")yes (README: "pip install")
Hosted optionmentioned (README: "cloud version")unknown

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