Dev tools · alternatives · 2026
24 alternatives to Buildkite Test Analytics
Observability for your test suites
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 1 we have checked on their own sites, 1 of them free or with a free tier. Buildkite Test Analytics launched in 2022; newer entries below may have overtaken it.
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Langfuse▲771Open source tracing and analytics for LLM applications
2023 · langfuse.com · its alternatives →
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Trace, evaluate, and improve AI agents in production
Aug 2026 · telerik.com · its alternatives →
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TraceRoot.AI▲344Fix bugs faster with open source, AI native observability
2025 · traceroot.ai · its alternatives →
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Observability copilot to resolve production issues instantly
2025 · middleware.io · its alternatives →
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OpenObserve▲305AI-native, open-source Datadog alternative
Mar 2026 · openobserve.ai · its alternatives →
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An open source observability stack for your backends
2023 · its alternatives →
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- 11OS
2022 · opendatadiscovery.org · its alternatives →
- 12YD
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 →
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Build remarkable analytics experiences, 10x faster
2023 · its alternatives →
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Evidence Embedded Analyticsfree tier, from $2500/mo▲122A modern dev workflow for your most important data products
Dec 2025 · evidence.dev · its alternatives →
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Dynamically instrument Live applications from your IDE
2023 · its alternatives →
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Trace LLM requests + costs with OpenTelemetry monitoring
Oct 2025 · openlit.io · its alternatives →
- 22OO
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 →
- 23LO
Hi HN! Langfuse is OSS observability and analytics for LLM applications (repo: https://github.com/langfuse/langfuse, 2 min demo: https://langfuse.com/video, try it yourself: https://langfuse.com/demo) Langfuse makes capturing and viewing LLM calls (execution traces) a breeze. On top of this data, you can analyze the quality, cost and latency of LLM apps. When GPT-4 dropped, we started building LLM apps – a lot of them! [1, 2] But they all suffered from the same issue: it’s hard to assure quality in 100% of cases and even to have a clear view…
2023 · github.com · its alternatives →
- 24AO
Hey HN. We’re Jay and Vadim from Highlight.io (https://highlight.io). We’re building an open source [1] monitoring platform for web applications. Today we’re excited to be sharing a performance tool we’ve been working on, which helps you inspect the latency of code execution from the client to the server. As engineers at past startups, we often had to debug slow queries, poor load times, inconsistent errors, etc... While tools like Jaegar [2] helped us inspect server-side performance, we had no way to tie user events to the traces we were inspecting. In other words, although we had…
2024 · github.com · 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 →