Comparison
llama-github vs langflow
Verdict
Pick llama-github when license: llama-github is Apache-2.0, langflow is MIT; pick langflow when license: langflow is MIT, llama-github is Apache-2.0.
Markdown twin · llama-github alternatives · langflow alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | llama-github | langflow |
|---|---|---|
| Maintenance | Slowing (104d since push) As of today · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | 127 low (127 low) As of today · osv@v1 | No criticals As of today · osv@v1 |
Tagline
- llama-github
- Llama-github is an open-source Python library that empowers LLM Chatbots, AI Agents, and Auto-dev Solutions to conduct Agentic RAG from actively selected GitHub public projects. It Augments through LL
- langflow
- Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
Stars
- llama-github
- 295
- langflow
- 152k
Forks
- llama-github
- 23
- langflow
- 9.7k
Open issues
- llama-github
- 10
- langflow
- 975
Language
- llama-github
- Python
- langflow
- Python
Adopt for
- llama-github
- -
- langflow
- Langflow specializes in creating and deploying AI agents and complex workflows through a versatile GUI-based approach.
Persona
- llama-github
- -
- langflow
- -
Runtime
- llama-github
- -
- langflow
- -
License
- llama-github
- Apache-2.0
- langflow
- MIT
Last pushed
- llama-github
- Mar 29, 2026
- langflow
- Jul 11, 2026
Categories
- llama-github
- AI Agents, LLM Frameworks, Inference & Serving
- langflow
- AI Agents, Inference & Serving
Trust and health
Maintenance
- llama-github
- Slowing (36%)
- langflow
- Very active (96%)
Days since push
- llama-github
- 104d
- langflow
- 0d
Open issues (now)
- llama-github
- 10
- langflow
- 975
Owner type
- llama-github
- User
- langflow
- Organization
Security scan
- llama-github
- 127 low (127 low)
- langflow
- No criticals
Full report
- llama-github
- Trust report
- langflow
- Trust report
Shared compatibility
- Python · llama-github: Python runtime · langflow: Python runtime
Choose llama-github if…
- License: llama-github is Apache-2.0, langflow is MIT.
- Tags unique to llama-github: github, ai-code-generator, jinaai, github-api.
- Also covers LLM Frameworks.
When NOT to use llama-github
- Last GitHub push was 105 days ago (slowing maintenance, Mar 29, 2026). Validate activity before betting a new project on llama-github.
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
Choose langflow if…
- License: langflow is MIT, llama-github is Apache-2.0.
- Tags unique to langflow: multiagent, agents, python, large-language-models.
- - When you need an intuitive graphical interface to manage the creation of AI agents and workflows without deep coding knowledge.
When NOT to use langflow
- - For developers preferring a code-first approach who find GUI interfaces restrictive for customization and workflow.
- - When the project does not align with or leverage the specific topics of focus such as ChatGPT, multi-agent systems, or requires integration with platforms that Langflow's graphical interface cannot旖
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (JetXu-LLM/llama-github) · observed Jul 11, 2026
- GitHub forks (JetXu-LLM/llama-github) · observed Jul 11, 2026
- Last push (JetXu-LLM/llama-github) · observed Mar 29, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (langflow-ai/langflow) · observed Jul 11, 2026
- GitHub forks (langflow-ai/langflow) · observed Jul 11, 2026
- Last push (langflow-ai/langflow) · observed Jul 11, 2026
- License file (MIT) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: llama-github 295 · langflow 152k (synced Jul 11, 2026).
Common questions
- What is the difference between llama-github and langflow?
- llama-github: Llama-github is an open-source Python library that empowers LLM Chatbots, AI Agents, and Auto-dev Solutions to conduct Agentic RAG from actively selected GitHub public projects. It Augments through LL. langflow: Langflow is a powerful tool for building and deploying AI-powered agents and workflows.. See the comparison table for live GitHub stats and shared categories.
- When should I choose llama-github over langflow?
- Choose llama-github over langflow when License: llama-github is Apache-2.0, langflow is MIT; Tags unique to llama-github: github, ai-code-generator, jinaai, github-api; Also covers LLM Frameworks.
- When should I choose langflow over llama-github?
- Choose langflow over llama-github when License: langflow is MIT, llama-github is Apache-2.0; Tags unique to langflow: multiagent, agents, python, large-language-models; - When you need an intuitive graphical interface to manage the creation of AI agents and workflows without deep coding knowledge.
- When should I avoid llama-github?
- Last GitHub push was 105 days ago (slowing maintenance, Mar 29, 2026). Validate activity before betting a new project on llama-github. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- When should I avoid langflow?
- - For developers preferring a code-first approach who find GUI interfaces restrictive for customization and workflow. - When the project does not align with or leverage the specific topics of focus such as ChatGPT, multi-agent systems, or requires integration with platforms that Langflow's graphical interface cannot旖
- Is llama-github or langflow more popular on GitHub?
- langflow has more GitHub stars (151,697 vs 295). Stars measure visibility, not whether either tool fits your constraints.
- Are llama-github and langflow open source?
- Yes - both are open-source projects on GitHub (llama-github: Apache-2.0, langflow: MIT).
- Where can I find alternatives to llama-github or langflow?
- GraphCanon lists graph-backed alternatives at llama-github alternatives and langflow alternatives (llama-github markdown twin, langflow 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, llama-github or langflow?
- llama-github: Slowing. langflow: 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 llama-github and langflow?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: llama-github trust report; langflow trust report.