Browse
L
Langfuse
LLM engineering platform for model tracing, prompt management, and application evaluation.
35kActiveMIT
Self-host
Docker ComposeDifficulty
Docker Compose(estimated)
Deploy methods
dockercomposesource
Required dependencies
Not yet detected
Resource footprint
Needs ~320 MB RAM · 1 GB recommended(estimated)
Why?
- Minimum S (512 MB): estimated from the app's language, dependencies and category: about 320 MB. We add 25% headroom on top.
- Recommended M (1 GB): the minimum is an estimate, so we recommend one size up for headroom.
- It can sleep when idle, which is the cheapest way to run it.
Get started
$ git clone https://github.com/langfuse/langfuse.gitA vetted docker-compose.yml, dependency list, and RAM footprint are extracted from the repo during enrichment.
DeployRecommended: M · $6.00/mo (sleeps when idle) · from $4.00/mo (S)
Self-host docs / repoWhy it ranks
80/ 100 recommended
Deployability55
Maintenance92
Security signals100
Popularity (stars)88
Metadata confidence83
Deployability · L3 · Multi-serviceDetected from repo90% confidence
- Needs 3 backing services
- Deploy spec detected from the repo
Maintenance · Active developmentDetected from repo
Active commits in the last 3 months
Security signals
- License Clarity — Clear OSI/known license
- Actively Hosted — Repository is not archived
- Maintenance Hygiene — Maintained — security fixes plausible
- Vulnerability Scan — Image not scanned
Signals are indicators, not guarantees — Source Directory has not audited this project.
Computed by Source Directory (scores-1) · last checked 2026-10-18. Independent of any paid placement.
About
LLM engineering platform for model tracing, prompt management, and application evaluation. Langfuse helps teams collaboratively debug, analyze, and iterate on their LLM applications such as chatbots or AI agents.
Description from awesome-selfhosted-data · CC-BY-SA 3.0.