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Alternatives

Products that do what Openlit does

One click observability & evals for LLMs & GPUs

  1. 1

    Open source dashboard for AI engineering & LLM data

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  2. 2

    Trace LLM requests + costs with OpenTelemetry monitoring

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  3. 3

    Customizable self-hosted dashboards for LLM observability

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  4. 4
    LLMonitor128

    Open source monitoring and production toolkit for AI apps

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    Openlayer197

    Slack or email alerts for when your AI fails

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    Improve your LLM apps with open-source observability tool

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  7. 7

    Real-time observability dashboard for OpenClaw AI agents

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  8. 8
    TraceLLM100

    OpenTelemetry for production AI applications

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  9. 9

    AI-native, open-source Datadog alternative

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  10. 10

    Avoid OpenAI downtimes - one API for 30+ LLMs

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  11. 11
    GLM-4.6V239

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  12. 12
    AskCodi230

    Custom LLMs, without training. Use via openai compatible api

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  13. 13

    An open source observability stack for your backends

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  14. 14

    New open-source LLM that rivals o3 in coding & reasoning

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  15. 15

    Vibe-check many open-source and proprietary LLMs at once

    2024

  16. 16

    Your observability stack, managed by us completely for free

    2021

  17. 17MY

    LLM observability is an absolute must-have for anyone running something in prod (or prod-like). While all the observability startups are great, you're essentially sending all your OpenAI usage history - prompts, generations, chats - to a random third party. So this script deploys a basic proxy in your Azure account, catches all incoming OpenAI requests, stores logs in your own resource group, and comes with visualizations premade (charts, timelines, chat history, cost estimation, etc). Thanks for any thoughts and feedback!

    2023 · github.com

  18. 18LO

    Hey HN! I built Lumina – an open-source observability platform for AI/LLM applications. Self-host it in 5 minutes with Docker Compose, all features included. The Problem: I've been building LLM apps for the past year, and I kept running into the same issues: - LLM responses would randomly change after prompt tweaks, breaking things - Costs would spike unexpectedly (turns out a bug was hitting GPT-4 instead of 3.5) - No easy way to compare "before vs after" when testing prompt changes - Existing tools were either too expensive or missing features in free tiers What I Built: Lumina is…

    Jan 2026 · github.com

  19. 19OS

    Hi HN, we’re Dylan and Matthew, building sublingual (https://github.com/sublingual-ai/sublingual), an open-source LLM observability tool you can use with zero code changes. As developers focused on iterating and building features as fast as possible, we felt observability would’ve been a helpful tool to have, but we found existing solutions had too much overhead to set up. So we gave ourselves the challenge of building an observability tool that you can integrate without changing a single line of code in your project. How it works Run your python application as usual with…

    2025 · github.com

  20. 20
    Stax179

    Move your LLM evals from vibes to data

    2025

  21. 21LO

    Hey HN, Ola and Karthik here. We are working on Langtrace(https://github.com/Scale3-Labs/langtrace), an open source, open telemetry based SDK and monitoring/evaluations client for LLM based applications. The SDK generates OTEL standard spans and traces for popular LLMs like OpenAI, Anthropic and Cohere, popular frameworks like Langchain and LlamaIndex and vectorDBs like ChromaDB and Pinecone. The LLM monitoring/evaluations space has seen a number of products off late, both open source and closed source ones. But, a couple of things we have observed are: lack of…

    2024

  22. 22
    Ddosify132

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  23. 23
    ChattyUI149

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    Baselime120

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