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Comparison

firecrawl vs JARVIS

Verdict

Pick firecrawl if firecrawl is a web data API for large-scale web scraping, searching, and data extraction tasks, supporting AI agents for intelligent web interaction and data retrieval; pick JARVIS if jARVIS is a Python-based AI assistant offering multifunctional capabilities including voice interaction and visual interfaces.

Markdown twin · firecrawl alternatives · JARVIS alternatives

GraphCanon updated Sep 20, 2026

10views this month

firecrawl logo

firecrawl

firecrawl/firecrawl

★ 182kpushed Sep 18, 2026
vs
JARVIS logo

JARVIS

Likhithsai2580/JARVIS

★ 147pushed Jul 30, 2026

Trust & integrity

SignalfirecrawlJARVIS
Maintenance
Very active (0d since push)
As of Sep 18, 2026 · github_public_v1
Steady (51d since push)
As of Sep 20, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
Not a fork · Personal account
As of Sep 20, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Sep 18, 2026 · osv@v1
No published findings from this source as of 2026-07-15
As of Jul 15, 2026 · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1
firecrawl trust reportJARVIS trust reportTrust methodology

Tagline

firecrawl
The web data API to search, scrape, and interact at scale.
JARVIS
A versatile AI assistant that integrates various functionalities

Stars

firecrawl
182k
JARVIS
147

Forks

firecrawl
9.8k
JARVIS
64

Open issues

firecrawl
641
JARVIS
2

Language

firecrawl
TypeScript
JARVIS
Python

Adopt for

firecrawl
Firecrawl is a web data API for large-scale web scraping, searching, and data extraction tasks, supporting AI agents for intelligent web interaction and data retrieval.
JARVIS
JARVIS is a Python-based AI assistant offering multifunctional capabilities including voice interaction and visual interfaces.

Persona

firecrawl
-
JARVIS
-

Runtime

firecrawl
-
JARVIS
-

License

firecrawl
AGPL-3.0 for the main project, MIT License for SDKs and some UI components.
JARVIS
MIT

Last pushed

firecrawl
Sep 18, 2026
JARVIS
Jul 30, 2026

Categories

firecrawl
AI Agents, Data & Retrieval
JARVIS
AI Agents, Data & Retrieval, Speech & Audio

Trust and health

Maintenance

firecrawl
Very active (96%)
JARVIS
Steady (60%)

Days since push

firecrawl
0d
JARVIS
51d

Open issues (now)

firecrawl
641
JARVIS
2

Stars delta

firecrawl
+14k (30d)
JARVIS
+4 (30d)

Open issues delta

firecrawl
+133 (30d)
JARVIS
0 (30d)

Owner type

firecrawl
Organization
JARVIS
User

OSV dependency advisories

firecrawl
No lockfile (source not queried)
JARVIS
No published findings from this source as of 2026-07-15

Full report

firecrawl
Trust report
JARVIS
Trust report

Choose firecrawl if…

  • firecrawl is primarily TypeScript; JARVIS is Python.
  • License: firecrawl is AGPL-3.0, JARVIS is MIT.
  • Pricing: Pricing details are not provided in the repository data..
  • Requirements: Users must respect websites' policies when scraping and comply with robots.txt directives..
  • Tags unique to firecrawl: ai, ai-agents, ai-crawler, ai-scraping.
  • When you need to perform large-scale web scraping and data extraction tasks with support for AI-driven web interactions.

When NOT to use firecrawl

  • If your project requires a tool that does not support AI-driven interactions and you prefer a simpler, more straightforward scraping solution.
  • When you are looking for a solution that does not come with the AGPL-3.0 license, as this might not be compatible with your project's licensing requirements.
GitHubDetails

Choose JARVIS if…

  • JARVIS is primarily Python; firecrawl is TypeScript.
  • License: JARVIS is MIT, firecrawl is AGPL-3.0.
  • Tags unique to JARVIS: agent, agents, assistant, g4f.
  • Also covers Speech & Audio.
  • Use JARVIS if you require an offline-capable AI assistant with local LLM support, enhancing privacy and reducing reliance on cloud services.

When NOT to use JARVIS

  • Avoid using JARVIS if you need a solution that strictly operates in an online environment; it is better suited for scenarios where both offline and online modes are acceptable.
  • Do not use JARVIS if your project requires highly specialized functionality that the multifunctional design of JARVIS cannot support with its current integrations.
GitHubDetails

Explore

firecrawl trust report →JARVIS trust report →AI Agents category →Data & Retrieval category →Speech & Audio category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: firecrawl 182k · JARVIS 147 (synced Sep 20, 2026).

Common questions

What is the difference between firecrawl and JARVIS?
firecrawl: The web data API to search, scrape, and interact at scale.. JARVIS: A versatile AI assistant that integrates various functionalities. See the comparison table for live GitHub stats and shared categories.
When should I choose firecrawl over JARVIS?
Choose firecrawl over JARVIS when firecrawl is primarily TypeScript; JARVIS is Python; License: firecrawl is AGPL-3.0, JARVIS is MIT; Pricing: Pricing details are not provided in the repository data.; Requirements: Users must respect websites' policies when scraping and comply with robots.txt directives.; Tags unique to firecrawl: ai, ai-agents, ai-crawler, ai-scraping; When you need to perform large-scale web scraping and data extraction tasks with support for AI-driven web interactions.
When should I choose JARVIS over firecrawl?
Choose JARVIS over firecrawl when JARVIS is primarily Python; firecrawl is TypeScript; License: JARVIS is MIT, firecrawl is AGPL-3.0; Tags unique to JARVIS: agent, agents, assistant, g4f; Also covers Speech & Audio; Use JARVIS if you require an offline-capable AI assistant with local LLM support, enhancing privacy and reducing reliance on cloud services.
When should I avoid firecrawl?
If your project requires a tool that does not support AI-driven interactions and you prefer a simpler, more straightforward scraping solution. When you are looking for a solution that does not come with the AGPL-3.0 license, as this might not be compatible with your project's licensing requirements.
When should I avoid JARVIS?
Avoid using JARVIS if you need a solution that strictly operates in an online environment; it is better suited for scenarios where both offline and online modes are acceptable. Do not use JARVIS if your project requires highly specialized functionality that the multifunctional design of JARVIS cannot support with its current integrations.
Is firecrawl or JARVIS more popular on GitHub?
firecrawl has more GitHub stars (181,801 vs 147). Stars measure visibility, not whether either tool fits your constraints.
Are firecrawl and JARVIS open source?
Yes - both are open-source projects on GitHub (firecrawl: AGPL-3.0, JARVIS: MIT).
Where can I find alternatives to firecrawl or JARVIS?
GraphCanon lists graph-backed alternatives at firecrawl alternatives and JARVIS alternatives (firecrawl markdown twin, JARVIS markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, firecrawl or JARVIS?
firecrawl: Very active. JARVIS: Steady. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for firecrawl and JARVIS?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: firecrawl trust report; JARVIS trust report.

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