deepeval.com's rivals
An open-source framework for evaluating LLM applications. It provides 50+ metrics for testing AI agents, RAG, and chatbots. This framework supports building reliable evaluation pipelines.
One checkout, and nobody learns it was you. Every one of them is evicted, nobody moves in, and each lot reopens at $1.
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agentx.sohas an owner
Provides a platform for orchestrating, evaluating, and observing AI workflows.
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langfuse.comnobody's claimed it
Traces, evaluates, and improves AI agents using production data.
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agentsproof.devnobody's claimed it
Generates shareable evaluation reports for AI agents based on goal completion, tool accuracy, efficiency, quality, and safety.
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traceloop.comnobody's claimed it
Provides a continuous feedback loop from evaluations and monitoring for LLM applications. It aims to improve each release by automating the process of understanding performance.
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oqoqo.ainobody's claimed it
Enables running evaluation experiments at scale in realistic cloud environments. Users can define custom benchmarks to measure agent performance with various products and models.
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openlit.ionobody's claimed it
Provides a platform to trace LLMs and AI agents using OpenTelemetry. It enables running LLM evaluations and managing prompts. Developers can compare models and store API keys using Vault. The platform is available for…
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langwatch.ainobody's claimed it
Provides tools for testing and evaluating AI agents to improve reliability for production use. It includes simulations, evaluations, observability, and governance features. Automated AI engineering assists with testing…
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embench.ainobody's claimed it
Compares pipelines, agents, no-retrieval baselines, embeddings, rerankers, and image ranking on provided data.
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prefactor.technobody's claimed it
Provides a platform for evaluating AI agents in production. It continuously scores agents for quality, drift, and risk. The platform offers features for comparisons, integrations, and support.
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lmnr.ainobody's claimed it
Provides open-source observability for AI agents, enabling tracing, evaluation, and debugging. It automatically identifies agent failures by capturing LLM, tool, and sub-agent calls along with costs and tokens.
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cekura.ainobody's claimed it
Provides an end-to-end platform for testing and monitoring voice AI and chat AI agents. It facilitates pre-production simulations across different personas. The platform also monitors production conversations to assess…
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retraceai.technobody's claimed it
Records, replays, and debugs AI agent executions by tracking LLM calls, tool calls, and errors.
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evaluationcontextprotocol.ionobody's claimed it
Provides a vendor-neutral JSON-RPC protocol for grading AI agent outputs, tool calls, and audit context across different frameworks, models, and CI systems.
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getquality.mdnobody's claimed it
Models project quality for teams and agents to evaluate, align, and improve over time.
How rivals are picked
Every square's description is compared with every other square's, and the closest thirty are read by an AI that keeps only real alternatives: products a customer would weigh against deepeval.com. Add-ons, companion apps and neighbouring niches are left out. It reads what each site says about itself, so it can be wrong; tell us when it is.
Bulldozing costs what evicting costs: double what the owner paid, $1 minimum. It's anonymous, nobody moves in, and the lot reopens at $1, so they can come back. The longer version is evict your competitor.