Side by side
Hugging Face vs Langfuse
A fact-based comparison built only from each tool's verified directory profile — pricing summaries, plan availability, platforms, and stated strengths and limitations. No rankings, no sponsored placement.
| Criterion | Hugging Face | Langfuse |
|---|---|---|
| Category | Machine Learning & Deep Learning | Machine Learning & Deep Learning |
| In one sentence | Hub for sharing open models, datasets and demo apps, with paid compute for inference and hosting. | Open-source tracing, prompt management and evaluation for LLM applications, self-hosted or in the cloud. |
| Problem it solves | Finding, sharing and running open models without building your own model registry and infrastructure. | Understanding and improving LLM app behaviour, cost and quality in production. |
| Free plan | Yes | Yes |
| Developer API | Yes — docs | Yes — docs |
| Open source | No | Yes |
| Platforms | Web, Python and JavaScript libraries, REST API | Web (cloud), Docker, Kubernetes, Python SDK, JS/TS SDK |
| Pricing (summary) | The hub is free to use. PRO costs $9/month with $2 monthly compute credits, Team is $20/user/month and Enterprise $50/user/month. Compute is billed separately: Spaces GPUs and Inference Endpoints hourly, Inference Providers at provider rates. Checked 2026-10-19 | Self-hosting the open-source core is free. Langfuse Cloud: Hobby free (50k units/month), Core $29/month, Pro $199/month and Enterprise $2,499/month, each with 100k units included and graduated overage from $8 per 100k units. Checked 2026-10-19 |
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How to choose
Both profiles link to the vendors' official pricing — plan details change often, so verify there before buying. Pick based on the criterion rows above that matter to your workflow, not on rankings: we don't rank tools, because the right choice depends on your needs.