Comparison
langflow vs llama_index
Verdict
Pick langflow if langflow is a Python-based tool for building and deploying AI workflows using large language models and agent systems; pick llama_index if llamaIndex is a Python-based framework enabling the creation of agentic applications with functionalities like OCR, data indexing, and more. The project promotes flexibility via numerous integrations available on LlamaH.
Markdown twin · langflow alternatives · llama_index alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | langflow | llama_index |
|---|---|---|
| Maintenance | Very active (0d since push) As of 2w · github_public_v1 | Very active (0d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 1w · github_public_v1 |
| OSV dependency advisories | No published findings from this source as of 2026-07-11 As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- langflow
- Tool for building and deploying AI-powered agents and workflows
- llama_index
- Leading document agent and OCR platform
Stars
- langflow
- 153k
- llama_index
- 51k
Forks
- langflow
- 9.7k
- llama_index
- 7.9k
Open issues
- langflow
- 972
- llama_index
- 615
Language
- langflow
- Python
- llama_index
- Python
Adopt for
- langflow
- Langflow is a Python-based tool for building and deploying AI workflows using large language models and agent systems.
- llama_index
- LlamaIndex is a Python-based framework enabling the creation of agentic applications with functionalities like OCR, data indexing, and more. The project promotes flexibility via numerous integrations available on LlamaH
Persona
- langflow
- -
- llama_index
- -
Runtime
- langflow
- -
- llama_index
- -
License
- langflow
- MIT
- llama_index
- MIT
Last pushed
- langflow
- Aug 2, 2026
- llama_index
- Aug 6, 2026
Categories
- langflow
- AI Agents, Model Training
- llama_index
- AI Agents, Data & Retrieval
Trust and health
Open issues (now)
- langflow
- 972
- llama_index
- 615
Stars delta
- langflow
- Unknown
- llama_index
- +719 (30d)
Open issues delta
- langflow
- Unknown
- llama_index
- +121 (30d)
OSV dependency advisories
- langflow
- No published findings from this source as of 2026-07-11
- llama_index
- No lockfile (source not queried)
Full report
- langflow
- Trust report
- llama_index
- Trust report
Typed relationship
langflow alternative llama_indexBoth are tools for building and deploying AI-powered agents and workflows, but LangFlow focuses more on UI-driven design, while LlamaIndex is a framework-focused approach.
Shared compatibility
- Python · langflow: Python runtime · llama_index: Python runtime
Choose langflow if…
- Pricing: Open-source under MIT license with community and commercial options available; the OSS version is free to use at your own risk..
- Requirements: Min 4 GB RAM; Requires Docker; Requires Python 3.10–3.14, the recommended uv package manager is beneficial but not explicitly required for installation.; Docker can be used to start a Langflow container with default settings..
- Both are tools for building and deploying AI-powered agents and workflows, but LangFlow focuses more on UI-driven design, while LlamaIndex is a framework-focused approach.
- Tags unique to langflow: chatgpt, generative-ai, large language models, multiagent.
- Also covers Model Training.
- Use Langflow if you are working with Python versions from 3.10 to 3.14, as these versions are specifically supported for seamless operation of the tool.
When NOT to use langflow
- Do not use Langflow if your Python environment does not align with version constraints between 3.10 and 3.14.
- Langflow may not be the best fit if you are seeking a platform that operates without any language model integration, as it fundamentally relies on such models for its functionality.
Choose llama_index if…
- Both are tools for building and deploying AI-powered agents and workflows, but LangFlow focuses more on UI-driven design, while LlamaIndex is a framework-focused approach.
- Tags unique to llama_index: application, data, fine-tuning, framework.
- Also covers Data & Retrieval.
- - When you need to work with document agents or require advanced OCR capabilities involving multiple formats.
When NOT to use llama_index
- - Avoid using if your primary need is a simple, lightweight solution that doesn't require the extensive OCR or agentic capabilities provided by LlamaIndex.
- - If specific features like 'Parse', 'Extract', and 'Index' are not necessary for your project, simpler alternatives might be more suitable.
- - In scenarios where customization beyond integrating existing plugins isn't required; LlamaIndex's strength lies in its integration library, which may not cover all niche needs without modification.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (langflow-ai/langflow) · observed Aug 2, 2026
- GitHub forks (langflow-ai/langflow) · observed Aug 2, 2026
- Last push (langflow-ai/langflow) · observed Aug 2, 2026
- License file (MIT) · observed Aug 2, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (run-llama/llama_index) · observed Aug 7, 2026
- GitHub forks (run-llama/llama_index) · observed Aug 7, 2026
- Last push (run-llama/llama_index) · observed Aug 6, 2026
- License file (MIT) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: langflow 153k · llama_index 51k (synced Aug 2, 2026).
Common questions
- What is the difference between langflow and llama_index?
- langflow: Tool for building and deploying AI-powered agents and workflows. llama_index: Leading document agent and OCR platform. See the comparison table for live GitHub stats and shared categories.
- When should I choose langflow over llama_index?
- Choose langflow over llama_index when Pricing: Open-source under MIT license with community and commercial options available; the OSS version is free to use at your own risk.; Requirements: Min 4 GB RAM; Requires Docker; Requires Python 3.10–3.14, the recommended uv package manager is beneficial but not explicitly required for installation.; Docker can be used to start a Langflow container with default settings.; Both are tools for building and deploying AI-powered agents and workflows, but LangFlow focuses more on UI-driven design, while LlamaIndex is a framework-focused approach; Tags unique to langflow: chatgpt, generative-ai, large language models, multiagent; Also covers Model Training; Use Langflow if you are working with Python versions from 3.10 to 3.14, as these versions are specifically supported for seamless operation of the tool.
- When should I choose llama_index over langflow?
- Choose llama_index over langflow when Both are tools for building and deploying AI-powered agents and workflows, but LangFlow focuses more on UI-driven design, while LlamaIndex is a framework-focused approach; Tags unique to llama_index: application, data, fine-tuning, framework; Also covers Data & Retrieval; - When you need to work with document agents or require advanced OCR capabilities involving multiple formats.
- When should I avoid langflow?
- Do not use Langflow if your Python environment does not align with version constraints between 3.10 and 3.14. Langflow may not be the best fit if you are seeking a platform that operates without any language model integration, as it fundamentally relies on such models for its functionality.
- When should I avoid llama_index?
- - Avoid using if your primary need is a simple, lightweight solution that doesn't require the extensive OCR or agentic capabilities provided by LlamaIndex. - If specific features like 'Parse', 'Extract', and 'Index' are not necessary for your project, simpler alternatives might be more suitable. - In scenarios where customization beyond integrating existing plugins isn't required; LlamaIndex's strength lies in its integration library, which may not cover all niche needs without modification.
- Is langflow or llama_index more popular on GitHub?
- langflow has more GitHub stars (152,744 vs 51,442). Stars measure visibility, not whether either tool fits your constraints.
- Are langflow and llama_index open source?
- Yes - both are open-source projects on GitHub (langflow: MIT, llama_index: MIT).
- Where can I find alternatives to langflow or llama_index?
- GraphCanon lists graph-backed alternatives at langflow alternatives and llama_index alternatives (langflow markdown twin, llama_index 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, langflow or llama_index?
- langflow: Very active. llama_index: Very active. 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 langflow and llama_index?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: langflow trust report; llama_index trust report.