Langflow vs LiteLLM
Side-by-side comparison built from DeepYard's structured catalog. Content updated Aug 21, 2026.
Direct Answer
Langflow suits teams needing open-source access, visual builder focus, and 153,543 GitHub stars in current listing data. LiteLLM suits teams needing open-source access, api gateway focus, and 56,974 GitHub stars in current listing data. This summary reflects catalog metadata only for decision support, not independent testing.
What this comparison weighs
- Pricing and free-tier availability
- License model and deployment fit
- GitHub adoption and contributor depth
- Catalog tags, integrations, and supported workflows
| Metric | Langflow | LiteLLM |
|---|---|---|
| GitHub Stars | 153.5K | 57.0K |
| Contributors | 351 | 376 |
| Last Commit | Aug 22, 2026 | Aug 22, 2026 |
| Open Issues | 968 | 4989 |
| License | open-source | open-source |
| Pricing | open-source | open-source |
| Free Tier | Yes | Yes |
| Category | frameworks | frameworks |
| Trending | No | No |
Choose Langflow if you need
- • Langflow is the stronger pick when Visual Builder matters because that capability is listed only on its profile.
- • Langflow shows broader GitHub adoption with 153,543 stars versus 56,974 for LiteLLM.
- • Langflow is the cleaner fit if you specifically need Visual Builder workflows from the catalog tags.
Choose LiteLLM if you need
- • LiteLLM is the stronger pick when Api Gateway matters because that capability is listed only on its profile.
- • LiteLLM has a larger visible contributor base (376 vs 351).
- • LiteLLM is the cleaner fit if you specifically need Api Gateway workflows from the catalog tags.
Meaningful differences
- • GitHub adoption: Langflow shows 153,543 stars versus 56,974 for LiteLLM.
- • Contributor count: Langflow lists 351 contributors and LiteLLM lists 376.
Shared capabilities
- • Python
- • Open Source
Shared Tags
Only in Langflow
Only in LiteLLM
Limitations and evidence
- • DeepYard compares structured public metadata; this is not an independent benchmark unless a test record is shown.
- • Signals such as stars, contributors, and last commit indicate public activity, not purchase fit or runtime quality.
- • Pricing and feature coverage reflect the stored listing snapshot and may lag vendor changes between refreshes.
About Langflow
Langflow is a visual framework for building multi-agent and RAG applications. Its drag-and-drop interface lets you create complex agent workflows without code, while still allowing Python customization. Supports all major LLM providers, vector stores, and tools. Export flows as APIs with one click. The most popular visual agent builder.
View full listingAbout LiteLLM
LiteLLM provides a unified OpenAI-compatible API for 200+ LLM providers (OpenAI, Anthropic, Google, Azure, AWS Bedrock, Ollama, and more). Use one interface to call any model, with built-in load balancing, fallbacks, spend tracking, and rate limiting. Essential infrastructure for multi-model agent systems.
View full listing