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Laminar

Open-source all-in-one platform for engineering AI products

Laminar is an open-source platform where you can trace your LLM app, run evaluations, label production data and use it to improve your prompts. Laminar is fast, reliable and offers best-in-class DX. It’s written in Rust and built on top of a modern tech stack.

Top comment

Hey there 👋, I’m Robert, co-founder and CEO of Laminar (YC S24) -> https://www.ycombinator.com/comp... Good AI engineering is all about data and it boils down to three things – collect data, analyze data, use data. Laminar enables teams to do all of that in a single platform. > Unbelievable alpha in looking at data ©️ Hamel Husain (https://x.com/HamelHusain/status...) Collect data – Tracing - Trace every execution step of your LLM application by adding just 2 lines of code. - Laminar automatically traces common LLM SDKs (OpenAI, Anthropic …), and popular LLM frameworks (Langchain …) - We support images, and soon audio! Analyze data – Labeling - Laminar provides tools for your team to efficiently label the data and analyze human labels distribution. - Use this labeled data to better align LLM-as-a-judge with your app requirements. - Use labels as filters to separate “good” and “bad” data. Use data – Evaluations and Datasets - Run custom evaluations locally, from terminal, code, or as part of CI/CD. Visualize and compare results in Laminar UI. - Run hosted online evaluators (LLM-as-a-judge or Python scripts) as production traces come in. - Store golden datasets in Laminar and run evaluations on them. - Collect “good” examples in datasets and then retrieve most relevant ones via API to use as few-shot examples in your prompts. Laminar is fully open-source, built for scale, and production-ready. You can easily self-host it or use our managed version for production. Laminar is extremely fast, reliable, and built on top of a modern stack. Our frontend is in Next.js, backend is written in Rust🦀, trace ingestion is done over gRPC, messages are sent across services through RabbitMQ and analytics is managed by ClickHouse. Join the ranks of our contributors and star ⭐ our repo here → https://github.com/lmnr-ai/lmnr (we have lots of exciting things to do!) Get started with a managed version today → https://www.lmnr.ai (use our ProductHunt discount to get 3 months free of pro version).

About Laminar on Product Hunt

Open-source all-in-one platform for engineering AI products

Laminar launched on Product Hunt on October 31st, 2024 and earned 354 upvotes and 32 comments, placing #5 on the daily leaderboard. Laminar is an open-source platform where you can trace your LLM app, run evaluations, label production data and use it to improve your prompts. Laminar is fast, reliable and offers best-in-class DX. It’s written in Rust and built on top of a modern tech stack.

On the analytics side, Laminar competes within Productivity, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.7M followers on Product Hunt. The dashboard above tracks how Laminar performed against the three products that launched closest to it on the same day.

Who hunted Laminar?

Laminar was hunted by Robert Kim. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

Reviews

Laminar has received 2 reviews on Product Hunt with an average rating of 5.00/5. Read all reviews on Product Hunt.

For a complete overview of Laminar including community comment highlights and product details, visit the product overview.