πͺ’ Open source agent evals & observability: Trace, evaluate, and improve LLM applications with one open platform.
Star History
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+10
STARS Β· LAST 30 DAYS
1
PER DAY
#6
MOST-STARRED MDX
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +6 | +16 |
langfuse-docs gained 10 stars in the last 30 days, about 1 a day, and now has 247. It is about 3 years old and has averaged roughly 82 stars a year. It ranks #6 among MDX repositories and #12,273 across all languages on GitHubRepo.
Trending Record
10
DAYS ON TRENDING
#9588
BEST RANK
Oct 9, 2026
FIRST APPEARANCE
Active
STATUS TODAY
langfuse-docs has maintained a continuous presence across global trending indexes, peaking at #9588. Below is the 30-day activity profile:
π‘ Overview
langfuse-docs is an open-source project written in MDX: πͺ’ Open source agent evals & observability: Trace, evaluate, and improve LLM applications with one open platform.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-skills, agents, genai. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
β‘ Key Features
Optimized execution pipeline written in MDX for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
π₯ Installation
$ git clone https://github.com/langfuse/langfuse-docs.git
cd langfuse-docsβ System Requirements
Platforms
- β’ macOS
- β’ Linux
- β’ Windows
Runtime & Dependencies
MDX environment and standard tooling
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
π§ How It Works
langfuse-docs coordinates its core functionality through a modular MDX pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
π― Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with langfuse-docs.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
π Getting Started
Install langfuse-docs using your package manager: `git clone https://github.com/langfuse/langfuse-docs.git`
Initialize your project workspace or configuration file for langfuse-docs.
Import langfuse-docs into your codebase or invoke it directly from your terminal.
Execute your test suite or run `langfuse-docs --help` to verify successful setup.
π Strengths
β οΈ Considerations
β Alternatives & Direct Competitors
π₯ Who Should Use This
Developers and engineering teams building with MDX, seeking reliable, tested, and actively maintained tooling for production workloads.
π Nearby in the Rankings
langfuse/langfuse-docs is currently ranked #12,273 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #12,249 | Wilyicaro/Legacy-Minecraft | Java | β 248 | Compare β |
| #12,249 | awcodes/mason | PHP | β 248 | Compare β |
| #12,249 | hxreborn/punch-hole-download-progress | Kotlin | β 248 | Compare β |
| #12,249 | smartcomputer-ai/lightspeed | Rust | β 248 | Compare β |
| #12,249 | meituan-longcat/WBench | Python | β 248 | Compare β |
| #12,273 | langfuse/langfuse-docs This Project | MDX | β 247 | |
| #12,273 | swh/ladspa | C | β 247 | Compare β |
| #12,273 | clintecker/python-googleanalytics | Python | β 247 | Compare β |
| #12,273 | mojombo/mustache.erl | Erlang | β 247 | Compare β |
| #12,273 | jarradseers/consign | JavaScript | β 247 | Compare β |
| #12,273 | neo4j/neo4j-dotnet-driver | C# | β 247 | Compare β |
Frequently Asked Questions
What does langfuse-docs do? +
πͺ’ Open source agent evals & observability: Trace, evaluate, and improve LLM applications with one open platform.
What language is langfuse-docs written in? +
The primary language is MDX. Topics include: agent-skills, agents, genai, hacktoberfest, langfuse.
Is langfuse-docs actively maintained? +
Yes, the last recorded push was on Oct 9, 2026 with 227 open issues being tracked.
How many stars does langfuse-docs have? +
langfuse-docs has 247 stars and 318 forks on GitHub.
How does langfuse-docs rank among GitHub repositories? +
With 247 stars, langfuse/langfuse-docs is ranked #12,273 globally across all repositories tracked on GitHubRepo and #6 among MDX projects.
What license is langfuse-docs distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
