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AI · alternatives · 2026

24 alternatives to traceAI

Open-source LLM tracing that speaks GenAI, not HTTP.

traceAI is an open-source LLM tracing tool designed for developers building generative AI applications. It integrates with OpenTelemetry to capture prompts, completions, tokens, and agent decisions, then routes this… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 2 we have checked on their own sites, 2 of them free or with a free tier.

  1. 1
    TraceLLM▲100

    OpenTelemetry for production AI applications

    Jul 2026 · tracellm.in · its alternatives →

  2. 2
    Langfuse▲771

    Open source tracing and analytics for LLM applications

    2023 · langfuse.com · its alternatives →

  3. 3
    Trace▲1,555

    Workflow Automations for the Human 👾 AI Workforce

    2025 · trace.so · its alternatives →

  4. 4

    Improve your LLM apps with open-source observability tool

    2024 · langtrace.ai · its alternatives →

  5. 5

    Hey HN, Nir, Gal and Tomer here. We’re open-sourcing a set of extensions we’ve built on top of OpenTelemetry that provide visibility into LLM applications - whether it be prompts, vector DBs and more. Here’s the repo: https://github.com/traceloop/openllmetry. There’s already a decent number of tools for LLM observability, some open-source and some not. But what we found was missing for all of them is that they were closed-protocol by design, vendor-locking you to use their observability platform or their proprietary framework for running your LLMs. It’s still early in the…

    2023 · github.com · its alternatives →

  6. 6

    Anthropic's open tools to see how AI thinks

    2025 · anthropic.com · its alternatives →

  7. 7

    OpenTelemetry-native observability for agents and LLMs

    Aug 2026 · openobserve.ai · its alternatives →

  8. 8

    Fix bugs faster with open source, AI native observability

    2025 · traceroot.ai · its alternatives →

  9. 9

    The low-code platform for testing AI apps

    2024 · langtail.com · its alternatives →

  10. 10

    Hey everyone, We have been building SecureAI Tools -- an open-source application layer for ChatGPT and ChatPDF-like AI tools. It works with locally running LLMs as well as with OpenAI-compatible APIs. For local LLMs, it supports Ollama which supports all the gguf/ggml models. Currently, it has two features: Chat-with-LLM, and Chat-with-PDFs. It is optimized for self-hosting use cases and comes with basic user management features. Here are some quick demos: * Chat with documents using OpenAI's GPT3.5 model: https://www.youtube.com/watch?v=Br2D3G9O47s * Chat with documents…

    2023 · github.com · its alternatives →

  11. 11
    OpenUI▲322

    Thesys just open-sourced their generative UI rendering engine. Interesting timing given where Google a2ui and Vercel's json-render are headed. The difference worth noting: a2ui and json-render both treat JSONL as the contract between the LLM and the renderer. Thesys is betting that's the wrong primitive. Their engine uses a code-like syntax (OpenUI Lang) instead — LLM writes it, renderer executes it. The argument is that LLMs are fundamentally better at generating code than generating structured data, so you get cleaner output and ~67% fewer tokens. The broader vision seems to be a…

    Mar 2026 · openui.com · its alternatives →

  12. 12
    LLM Gatewayfree tier▲296

    I built an OpenAI-compatible LLM gateway that routes requests to OpenAI, Anthropic, Ollama, vLLM, llama-server, SGLang... anything that speaks /v1/chat/completions. Single Go binary, one YAML config file, no infrastructure. It does the things you'd expect from this kind of gateway... semantic routing via a three-layer cascade (keyword heuristics, embedding similarity, LLM classifier) that picks the best model when clients omit the model field, weighted round-robin load balancing across local inference servers with health checks and failover. The part I think is most…

    2025 · llmgateway.io · its alternatives →

  13. 13

    If you've built any web-based app in the last 15 years, you probably used something like Datadog, New Relic, Sentry, etc. to monitor and trace your app, right? Why should it be different when the app you're building happens to be using LLMs? So today we're open-sourcing OpenLLMetry-JS. It's an open protocol and SDK, based on OpenTelemetry, that provides traces and metrics for LLM JS/TS applications and can be connected to any of the 15+ tools that already support OpenTelemetry. Here's the repo: https://github.com/traceloop/openllmetry-js A few months ago we launched…

    2024 · github.com · its alternatives →

  14. 14

    I spent a lot of time and money on this rather big side project of mine that attempts to replicate the mechanistic interpretability research on proprietary LLMs that was quite popular this year and produced great research papers by Anthropic [1], OpenAI [2] and Deepmind [3]. I am quite proud of this project and since I consider myself the target audience for HackerNews did I think that maybe some of you would appreciate this open research replication as well. Happy to answer any questions or face any feedback. Cheers [1]…

    2024 · github.com · its alternatives →

  15. 15
    Trace AI▲266

    Fastest way to build iOS apps with AI

    2023 · its alternatives →

  16. 16OS

    Complete AI Platform: RAG Systems & Intelligent Agents for Local AI

    2025 · rlama.dev · its alternatives →

  17. 17
    LLMonitor▲128

    Open source monitoring and production toolkit for AI apps

    2023 · its alternatives →

  18. 18AT

    I recently built a small open-source tool to benchmark different LLM API endpoints — including OpenAI, Claude, and self-hosted models (like llama.cpp). It runs a configurable number of test requests and reports two key metrics: • First-token latency (ms): How long it takes for the first token to appear • Output speed (tokens/sec): Overall output fluency Demo: https://llmapitest.com/ Code: https://github.com/qjr87/llm-api-test The goal is to provide a simple, visual, and reproducible way to evaluate performance across different LLM providers, including…

    2025 · llmapitest.com · its alternatives →

  19. 19
    Evidently AIfree▲382

    Open-source evaluations and observability for LLM apps

    2024 · evidentlyai.com · its alternatives →

  20. 20
    Openlit▲152

    One click observability & evals for LLMs & GPUs

    2024 · openlit.io · its alternatives →

  21. 21

    Hi everyone, we’re a small team, supported by Mozilla, who are working on re-imagining a UI for training, tuning and testing local LLMs. Everything is open source. If you’ve been training your own LLMs or have always wanted to, we’d love for you to play with the tool and give feedback on what the future development experience for LLM engineering could look like.

    2025 · github.com · its alternatives →

  22. 22

    Uptrace is an all-in-one tool that supports distributed tracing, metrics, and logs. It uses OpenTelelemetry observability framework to collect data and ClickHouse database to store it. You can ingest data using OpenTelemetry Protocol (OTLP), Vector Logs, and Zipkin API. You can also use OpenTelemetry Collector to collect Prometheus metrics or receive data from Jaeger, X Ray, Apache, PostgreSQL, MySQL and many more. The latest Uptrace release introduces support for OpenTelemetry Metrics which includes: - User interface to build table-based and grid-based dashboards. - Pre-built dashboard…

    2022 · app.uptrace.dev · its alternatives →

  23. 23AF

    We’ve built an AI risk assessment tool designed specifically for GenAI/LLM applications. It's still early, but we’d love your feedback. Here’s what it does: 1. it performs comprehensive AI risk assessments by analyzing your codebase against different AI regulation/framework or even internal policies. It identifies potential issues and suggests fixes directly through one click PRs. 2. the first framework the platform supports is OWASP Top 10 for LLM Applications 2025, upcoming framework will be ISO 42001 as well as custom policy documents. 3. we're a small, early stage team, so the…

    2025 · gettavo.com · its alternatives →

  24. 24

    Hi HN, we're Kiran and Vijay! Over the past two years, we have built a columnar storage engine for observability: logs, metrics, and traces. Today, it's exciting for us to show what we've built on top of that foundation: LLM Agent Observability. Given how non-deterministic agents are, storing all traces without sampling was critical for us. But these traces tend to be in the MBs, sometimes GBs - we needed to store them inexpensively. We also needed the queries and analyses to be fast. To meet both these goals, we store them in S3 in our own parquet-like file format, and query them using AWS…

    Jul 2026 · oodle.ai · its alternatives →

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →