langfuse
recruiting-hell
langfuse | recruiting-hell | |
---|---|---|
11 | 1 | |
3,681 | 46 | |
30.4% | - | |
9.9 | 7.6 | |
7 days ago | 6 months ago | |
TypeScript | ||
GNU General Public License v3.0 or later | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
langfuse
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Top Open Source Prompt Engineering Guides & Tools🔧🏗️🚀
Langfuse is an open-source LLM engineering platform that helps teams collaboratively debug, analyze, and iterate on their LLM applications.
- Roast My Docs
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Show HN: Open-Source LLM Observability and Export to Grafana, Datadog etc.
Congrats on the Show! How’s this different from https://github.com/langfuse/langfuse? The exports seems really interesting
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RAG observability in 2 lines of code with Llama Index & Langfuse
Thus, we started working on Langfuse.com (GitHub) to establish an open source LLM engineering platform with tightly integrated features for tracing, prompt management, and evaluation. In the beginning we just solved our own and our friends’ problems. Today we are at over 1000 projects which rely on Langfuse, and 2.3k stars on GitHub. You can either self-host Langfuse or use the cloud instance maintained by us.
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langfuse VS agenta - a user suggested alternative
2 projects | 22 Nov 2023
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Ask HN: Who is hiring? (November 2023)
- We want to build a tool that is recommended here on HN: you can build a tool you would want to use yourself.
Please see more details here: https://langfuse.com/careers or reach out directly to me: [email protected]
[1] https://github.com/langfuse/langfuse
[2] https://create.t3.gg/
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How are generative AI companies monitoring their systems in production?
We struggled with this ourselves while building LLM-based products and then open-sourced our observability/monitoring tool [1]. Many use it to track RAG and agents in production, run custom evals on the production traces (focused on hallucination), and track how metrics are different across releases or customers. Feel free to dm if there is something specific you are looking to solve, happy to help.
[1] https://github.com/langfuse/langfuse
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LLM Analytics 101 - How to Improve your LLM app
Visit us on Discord and Github to engage with our project.
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Ask HN: Any tools or frameworks to monitor the usage of OpenAI API keys?
Maybe try https://github.com/langfuse/langfuse
It was recently shared on HN
- Show HN: Langfuse – Open-source observability and analytics for LLM apps
recruiting-hell
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Ask HN: Who is hiring? (November 2023)
"Upload a screenshot of your desktop"
- "Explain the organization of your desktop"
The questions related to needing a photo of my desktop are for sure going into my collection of strange job application & recruiter interactions: https://github.com/finitelooper/recruiting-hell
What are some alternatives?
trulens - Evaluation and Tracking for LLM Experiments
interview - Interview for OneUptime
llama_index - LlamaIndex is a data framework for your LLM applications
datadog-static-analyzer - Datadog Static Analyzer
langchain - 🦜🔗 Build context-aware reasoning applications
examples - Your one-stop-shop to try Xata out. From packages to apps, whatever you need to get started.
agenta - The all-in-one LLM developer platform: prompt management, evaluation, human feedback, and deployment all in one place.
hyperdx - Resolve production issues, fast. An open source observability platform unifying session replays, logs, metrics, traces and errors powered by Clickhouse and OpenTelemetry.
opentelemetry-instrument-openai-py - OpenTelemetry instrumentation for the OpenAI Python library
clickhouse_knowledge_base - The Tinybird ClickHouse Knowledge Base
nebuly - The user analytics platform for LLMs