Comparison
dify vs JARVIS
Verdict
Pick dify if dify is a platform for creating agentic workflows and RAG pipelines, supporting various AI models and tools, deployable on cloud, VPC, or self-hosted environments; pick JARVIS if jARVIS is a Python-based AI assistant offering multifunctional capabilities including voice interaction and visual interfaces.
Markdown twin · dify alternatives · JARVIS alternatives
GraphCanon updated Sep 20, 2026
Trust & integrity
| Signal | dify | JARVIS |
|---|---|---|
| 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 |
Tagline
- dify
- Build Agentic workflows and RAG pipelines with rich AI model and tool support on one collaborative workspace.
- JARVIS
- A versatile AI assistant that integrates various functionalities
Stars
- dify
- 156k
- JARVIS
- 147
Forks
- dify
- 25k
- JARVIS
- 64
Open issues
- dify
- 1.1k
- JARVIS
- 2
Language
- dify
- TypeScript
- JARVIS
- Python
Adopt for
- dify
- Dify is a platform for creating agentic workflows and RAG pipelines, supporting various AI models and tools, deployable on cloud, VPC, or self-hosted environments.
- JARVIS
- JARVIS is a Python-based AI assistant offering multifunctional capabilities including voice interaction and visual interfaces.
Persona
- dify
- -
- JARVIS
- -
Runtime
- dify
- -
- JARVIS
- -
License
- dify
- Other
- JARVIS
- MIT
Last pushed
- dify
- Sep 18, 2026
- JARVIS
- Jul 30, 2026
Categories
- dify
- AI Agents, Data & Retrieval, Developer Tools
- JARVIS
- AI Agents, Data & Retrieval, Speech & Audio
Trust and health
Maintenance
- dify
- Very active (96%)
- JARVIS
- Steady (60%)
Days since push
- dify
- 0d
- JARVIS
- 51d
Open issues (now)
- dify
- 1.1k
- JARVIS
- 2
Stars delta
- dify
- +4.5k (30d)
- JARVIS
- +4 (30d)
Open issues delta
- dify
- +172 (30d)
- JARVIS
- 0 (30d)
Owner type
- dify
- Organization
- JARVIS
- User
OSV dependency advisories
- dify
- No lockfile (source not queried)
- JARVIS
- No published findings from this source as of 2026-07-15
Full report
- dify
- Trust report
- JARVIS
- Trust report
Choose dify if…
- dify is primarily TypeScript; JARVIS is Python.
- License: dify is Other, JARVIS is MIT.
- Tags unique to dify: agentic-ai, agentic-framework, agentic-workflow, ai.
- Also covers Developer Tools.
- When you need a collaborative workspace that supports rich AI model and tool integration for agentic workflows and RAG pipelines.
When NOT to use dify
- If your project does not require agentic workflows or RAG pipelines, and you are looking for a more general-purpose AI development tool.
- When you need a platform that does not require Docker and Docker Compose for setup, as Dify's quick start guide assumes these prerequisites.
- If your team prefers a platform with a different licensing model, as Dify uses a modified Apache 2.0 license with additional conditions.
Choose JARVIS if…
- JARVIS is primarily Python; dify is TypeScript.
- License: JARVIS is MIT, dify is Other.
- Tags unique to JARVIS: agents, assistant, g4f, gui.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (langgenius/dify) · observed Sep 20, 2026
- GitHub forks (langgenius/dify) · observed Sep 20, 2026
- Last push (langgenius/dify) · observed Sep 18, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (Likhithsai2580/JARVIS) · observed Sep 20, 2026
- GitHub forks (Likhithsai2580/JARVIS) · observed Sep 20, 2026
- Last push (Likhithsai2580/JARVIS) · observed Jul 30, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: dify 156k · JARVIS 147 (synced Sep 20, 2026).
Common questions
- What is the difference between dify and JARVIS?
- dify: Build Agentic workflows and RAG pipelines with rich AI model and tool support on one collaborative workspace.. JARVIS: A versatile AI assistant that integrates various functionalities. See the comparison table for live GitHub stats and shared categories.
- When should I choose dify over JARVIS?
- Choose dify over JARVIS when dify is primarily TypeScript; JARVIS is Python; License: dify is Other, JARVIS is MIT; Tags unique to dify: agentic-ai, agentic-framework, agentic-workflow, ai; Also covers Developer Tools; When you need a collaborative workspace that supports rich AI model and tool integration for agentic workflows and RAG pipelines.
- When should I choose JARVIS over dify?
- Choose JARVIS over dify when JARVIS is primarily Python; dify is TypeScript; License: JARVIS is MIT, dify is Other; Tags unique to JARVIS: agents, assistant, g4f, gui; 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 dify?
- If your project does not require agentic workflows or RAG pipelines, and you are looking for a more general-purpose AI development tool. When you need a platform that does not require Docker and Docker Compose for setup, as Dify's quick start guide assumes these prerequisites. If your team prefers a platform with a different licensing model, as Dify uses a modified Apache 2.0 license with additional conditions.
- 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 dify or JARVIS more popular on GitHub?
- dify has more GitHub stars (156,243 vs 147). Stars measure visibility, not whether either tool fits your constraints.
- Are dify and JARVIS open source?
- Yes - both are open-source projects on GitHub (dify: Other, JARVIS: MIT).
- Where can I find alternatives to dify or JARVIS?
- GraphCanon lists graph-backed alternatives at dify alternatives and JARVIS alternatives (dify 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, dify or JARVIS?
- dify: 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 dify and JARVIS?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: dify trust report; JARVIS trust report.