{"data":{"node":{"slug":"prometheus-eval-prometheus-eval","name":"prometheus-eval","tagline":"Evaluate your LLM's response with Prometheus and GPT4","github_url":"https://github.com/prometheus-eval/prometheus-eval","owner":"prometheus-eval","repo":"prometheus-eval","owner_avatar_url":"https://avatars.githubusercontent.com/u/167460660?v=4","primary_language":"Python","stars":1107,"forks":68,"topics":["evaluation","gpt4","litellm","llm","llm-as-a-judge","llm-as-evaluator","llmops","python","vllm"],"archived":false,"github_pushed_at":"2025-04-25T03:58:37+00:00","maintenance_label":"Dormant","stars_delta_30d":5,"url":"https://www.graphcanon.com/tools/prometheus-eval-prometheus-eval","markdown_url":"https://www.graphcanon.com/tools/prometheus-eval-prometheus-eval.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/prometheus-eval-prometheus-eval","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=prometheus-eval-prometheus-eval"},"categories":[{"slug":"evaluation-observability","name":"Evaluation & Observability","url":"https://www.graphcanon.com/categories/evaluation-observability","markdown_url":"https://www.graphcanon.com/categories/evaluation-observability.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/evaluation-observability"}],"tags":[{"slug":"evaluation","name":"evaluation"},{"slug":"gpt4","name":"gpt4"},{"slug":"litellm","name":"litellm"},{"slug":"llm","name":"llm"},{"slug":"llmops","name":"llmops"},{"slug":"python","name":"python"},{"slug":"vllm","name":"vllm"}],"edges":[{"type":"alternative","direction":"out","explanation":"Prometheus-eval focuses specifically on providing tools and methodologies for evaluating Large Language Models (LLMs) using Prometheus alongside GPT4. In contrast, RagaAI-Catalyst is a more comprehensive Python SDK that offers a wider range of features including evaluation management among others like project and dataset management. Both tools serve LLM development but RagaAI-Catalyst encompasses多","successor_context":null,"tool":{"slug":"raga-ai-hub-ragaai-catalyst","name":"RagaAI-Catalyst","tagline":"Python SDK for AI agent observability and evaluation","github_url":"https://github.com/raga-ai-hub/RagaAI-Catalyst","owner":"raga-ai-hub","repo":"RagaAI-Catalyst","owner_avatar_url":"https://avatars.githubusercontent.com/u/161833182?v=4","primary_language":"Python","stars":16148,"forks":3565,"topics":["agentic-ai","agentic-ai-development","agentneo","agents","ai-agent-monitoring","ai-application-debugging","ai-evaluation-tools","ai-performance-optimization","ai-tool-interaction-monitoring","llm-testing","llm-tracing","llmops"],"archived":false,"github_pushed_at":"2026-02-11T14:43:33+00:00","maintenance_label":"Slowing","stars_delta_30d":5,"url":"https://www.graphcanon.com/tools/raga-ai-hub-ragaai-catalyst","markdown_url":"https://www.graphcanon.com/tools/raga-ai-hub-ragaai-catalyst.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/raga-ai-hub-ragaai-catalyst","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=raga-ai-hub-ragaai-catalyst"}},{"type":"related","direction":"out","explanation":null,"successor_context":null,"tool":{"slug":"evolvinglmms-lab-lmms-eval","name":"lmms-eval","tagline":"One-for-All Multimodal Evaluation Toolkit Across Text, Image, Video, and Audio Tasks","github_url":"https://github.com/EvolvingLMMs-Lab/lmms-eval","owner":"EvolvingLMMs-Lab","repo":"lmms-eval","owner_avatar_url":"https://avatars.githubusercontent.com/u/154951679?v=4","primary_language":"Python","stars":4368,"forks":639,"topics":["agi","audio-evaluation","benchmark","evaluation","large-language-models","llm-evaluation","multimodal","multimodal-evaluation","video-understanding","vision-language-model","vlm"],"archived":false,"github_pushed_at":"2026-08-06T02:22:23+00:00","maintenance_label":"Active","stars_delta_30d":52,"url":"https://www.graphcanon.com/tools/evolvinglmms-lab-lmms-eval","markdown_url":"https://www.graphcanon.com/tools/evolvinglmms-lab-lmms-eval.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/evolvinglmms-lab-lmms-eval","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=evolvinglmms-lab-lmms-eval"}},{"type":"alternative","direction":"out","explanation":"Prometheus-eval and trulens both offer methodologies and tools for the evaluation of Large Language Models, though they approach this with differing methodologies. Prometheus-eval utilizes a specific setup involving Prometheus alongside GPT4 to conduct its evaluations, whereas TruLens offers a broader suite of tools that includes fine-grained instrumentation aimed at identifying failure modes in L","successor_context":null,"tool":{"slug":"truera-trulens","name":"trulens","tagline":"Evaluation and Tracking for LLM Experiments and AI Agents","github_url":"https://github.com/truera/trulens","owner":"truera","repo":"trulens","owner_avatar_url":"https://avatars.githubusercontent.com/u/51224128?v=4","primary_language":"Python","stars":3516,"forks":327,"topics":["agent-evaluation","agentops","ai-agents","ai-monitoring","ai-observability","evals","explainable-ml","llm-eval","llm-evaluation","llmops","llms","machine-learning","neural-networks"],"archived":false,"github_pushed_at":"2026-08-20T10:21:00+00:00","maintenance_label":"Very active","stars_delta_30d":68,"url":"https://www.graphcanon.com/tools/truera-trulens","markdown_url":"https://www.graphcanon.com/tools/truera-trulens.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/truera-trulens","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=truera-trulens"}},{"type":"integrates_with","direction":"out","explanation":"Both Prometheus-Eval and Langfuse focus on evaluating LLMs and providing observability for AI systems.","successor_context":null,"tool":{"slug":"langfuse-langfuse","name":"langfuse","tagline":"Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets","github_url":"https://github.com/langfuse/langfuse","owner":"langfuse","repo":"langfuse","owner_avatar_url":"https://avatars.githubusercontent.com/u/134601687?v=4","primary_language":"TypeScript","stars":32271,"forks":3466,"topics":["analytics","autogen","evaluation","langchain","large-language-models","llama-index","llm","llm-evaluation","llm-observability","llmops","monitoring","observability","open-source","openai","playground","prompt-engineering","prompt-management","self-hosted","ycombinator"],"archived":false,"github_pushed_at":"2026-07-31T22:58:07+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/langfuse-langfuse","markdown_url":"https://www.graphcanon.com/tools/langfuse-langfuse.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/langfuse-langfuse","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=langfuse-langfuse"}},{"type":"alternative","direction":"out","explanation":"Prometheus-eval and phoenix both offer capabilities for evaluating LLMs, but differ in their specific functions; Prometheus-eval focuses specifically on tools and methodologies for the evaluation of generation tasks using Large Language Models with Prometheus and GPT4, whereas phoenix provides a broader suite of AI observability features alongside evaluation, supporting various types of AI systems","successor_context":null,"tool":{"slug":"arize-ai-phoenix","name":"phoenix","tagline":"AI Observability & Evaluation","github_url":"https://github.com/Arize-ai/phoenix","owner":"Arize-ai","repo":"phoenix","owner_avatar_url":"https://avatars.githubusercontent.com/u/59858760?v=4","primary_language":"Python","stars":10847,"forks":1028,"topics":["agents","ai-monitoring","ai-observability","aiengineering","anthropic","datasets","evals","langchain","llamaindex","llm-eval","llm-evaluation","llmops","llms","openai","prompt-engineering","smolagents"],"archived":false,"github_pushed_at":"2026-08-01T11:48:49+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/arize-ai-phoenix","markdown_url":"https://www.graphcanon.com/tools/arize-ai-phoenix.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/arize-ai-phoenix","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=arize-ai-phoenix"}},{"type":"alternative","direction":"out","explanation":"Prometheus-eval is a repository focused on evaluating LLMs using tools like Prometheus alongside GPT4 for generation tasks, whereas Langwatch is a platform designed for testing, simulating, and monitoring LLM-powered agents with features such as regression testing and production observability. Both tools aim to evaluate Large Language Models, but they differ in their approach and capabilities,thus","successor_context":null,"tool":{"slug":"langwatch-langwatch","name":"langwatch","tagline":"The platform for LLM evaluations and AI agent testing","github_url":"https://github.com/langwatch/langwatch","owner":"langwatch","repo":"langwatch","owner_avatar_url":"https://avatars.githubusercontent.com/u/146763322?v=4","primary_language":"TypeScript","stars":3479,"forks":340,"topics":["ai","analytics","datasets","dspy","evaluation","gpt","llm","llm-ops","llmops","low-code","observability","openai","prompt-engineering"],"archived":false,"github_pushed_at":"2026-08-07T21:03:52+00:00","maintenance_label":"Very active","stars_delta_30d":152,"url":"https://www.graphcanon.com/tools/langwatch-langwatch","markdown_url":"https://www.graphcanon.com/tools/langwatch-langwatch.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/langwatch-langwatch","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=langwatch-langwatch"}}],"neighbours":[{"slug":"langfuse-langfuse","name":"langfuse","tagline":"Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets","github_url":"https://github.com/langfuse/langfuse","owner":"langfuse","repo":"langfuse","owner_avatar_url":"https://avatars.githubusercontent.com/u/134601687?v=4","primary_language":"TypeScript","stars":32271,"forks":3466,"topics":["analytics","autogen","evaluation","langchain","large-language-models","llama-index","llm","llm-evaluation","llm-observability","llmops","monitoring","observability","open-source","openai","playground","prompt-engineering","prompt-management","self-hosted","ycombinator"],"archived":false,"github_pushed_at":"2026-07-31T22:58:07+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/langfuse-langfuse","markdown_url":"https://www.graphcanon.com/tools/langfuse-langfuse.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/langfuse-langfuse","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=langfuse-langfuse","shared_categories":["evaluation-observability"]},{"slug":"comet-ml-opik","name":"opik","tagline":"Debug, evaluate, and monitor your LLM applications with comprehensive tracing and production-ready dashboards","github_url":"https://github.com/comet-ml/opik","owner":"comet-ml","repo":"opik","owner_avatar_url":"https://avatars.githubusercontent.com/u/31487821?v=4","primary_language":"Python","stars":21177,"forks":1681,"topics":["evaluation","hacktoberfest","hacktoberfest2025","langchain","llama-index","llm","llm-evaluation","llm-observability","llmops","open-source","openai","playground","prompt-engineering"],"archived":false,"github_pushed_at":"2026-08-07T11:46:34+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/comet-ml-opik","markdown_url":"https://www.graphcanon.com/tools/comet-ml-opik.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/comet-ml-opik","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=comet-ml-opik","shared_categories":["evaluation-observability"]},{"slug":"openai-evals","name":"evals","tagline":"Framework for evaluating LLMs and LLM systems with an open-source registry of benchmarks.","github_url":"https://github.com/openai/evals","owner":"openai","repo":"evals","owner_avatar_url":"https://avatars.githubusercontent.com/u/14957082?v=4","primary_language":"Python","stars":19127,"forks":3050,"topics":[],"archived":false,"github_pushed_at":"2026-04-14T15:29:57+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/openai-evals","markdown_url":"https://www.graphcanon.com/tools/openai-evals.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/openai-evals","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=openai-evals","shared_categories":["evaluation-observability"]},{"slug":"confident-ai-deepeval","name":"deepeval","tagline":"LLM Evaluation Framework.","github_url":"https://github.com/confident-ai/deepeval","owner":"confident-ai","repo":"deepeval","owner_avatar_url":"https://avatars.githubusercontent.com/u/130858411?v=4","primary_language":"Python","stars":17226,"forks":1736,"topics":["evaluation-framework","evaluation-metrics","llm-evaluation","llm-evaluation-framework","llm-evaluation-metrics","python"],"archived":false,"github_pushed_at":"2026-07-27T11:33:31+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/confident-ai-deepeval","markdown_url":"https://www.graphcanon.com/tools/confident-ai-deepeval.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/confident-ai-deepeval","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=confident-ai-deepeval","shared_categories":["evaluation-observability"]},{"slug":"eleutherai-lm-evaluation-harness","name":"lm-evaluation-harness","tagline":"A framework for few-shot evaluation of language models.","github_url":"https://github.com/EleutherAI/lm-evaluation-harness","owner":"EleutherAI","repo":"lm-evaluation-harness","owner_avatar_url":"https://avatars.githubusercontent.com/u/68924597?v=4","primary_language":"Python","stars":13560,"forks":3467,"topics":["evaluation-framework","language-model","transformer"],"archived":false,"github_pushed_at":"2026-07-13T20:18:15+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/eleutherai-lm-evaluation-harness","markdown_url":"https://www.graphcanon.com/tools/eleutherai-lm-evaluation-harness.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/eleutherai-lm-evaluation-harness","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=eleutherai-lm-evaluation-harness","shared_categories":["evaluation-observability"]},{"slug":"promptslab-promptify","name":"Promptify","tagline":"Task-based NLP engine with Pydantic structured outputs","github_url":"https://github.com/promptslab/Promptify","owner":"promptslab","repo":"Promptify","owner_avatar_url":"https://avatars.githubusercontent.com/u/120981762?v=4","primary_language":"Python","stars":4630,"forks":363,"topics":["chatgpt","chatgpt-api","chatgpt-python","gpt-3","gpt-3-prompts","gpt-4","gpt-4-api","gpt3-library","large-language-models","machine-learning","nlp","openai","prompt-engineering","prompt-toolkit","prompt-tuning","prompt-versioning","prompting","prompts","promptversioning","transformers"],"archived":false,"github_pushed_at":"2026-03-27T01:09:45+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/promptslab-promptify","markdown_url":"https://www.graphcanon.com/tools/promptslab-promptify.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/promptslab-promptify","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=promptslab-promptify","shared_categories":["evaluation-observability"]},{"slug":"agenta-ai-agenta","name":"agenta","tagline":"The open-source LLMOps platform for prompt management, evaluation, and observability.","github_url":"https://github.com/Agenta-AI/agenta","owner":"Agenta-AI","repo":"agenta","owner_avatar_url":"https://avatars.githubusercontent.com/u/127993667?v=4","primary_language":"TypeScript","stars":4445,"forks":609,"topics":["agent-builder","agent-observability","agent-orchestration","agent-workspace","agentic-ai","ai-agent","ai-agents","ai-automation","ai-skills-manager","ai-workflow-builder","harness","mcp","open-source","self-hosted","workflow-automation"],"archived":false,"github_pushed_at":"2026-08-07T10:41:36+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/agenta-ai-agenta","markdown_url":"https://www.graphcanon.com/tools/agenta-ai-agenta.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/agenta-ai-agenta","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=agenta-ai-agenta","shared_categories":["evaluation-observability"]},{"slug":"stanford-crfm-helm","name":"helm","tagline":"Holistic, reproducible and transparent evaluation of foundation models","github_url":"https://github.com/stanford-crfm/helm","owner":"stanford-crfm","repo":"helm","owner_avatar_url":"https://avatars.githubusercontent.com/u/75054807?v=4","primary_language":"Python","stars":2873,"forks":406,"topics":[],"archived":false,"github_pushed_at":"2026-08-01T01:23:17+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/stanford-crfm-helm","markdown_url":"https://www.graphcanon.com/tools/stanford-crfm-helm.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/stanford-crfm-helm","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=stanford-crfm-helm","shared_categories":["evaluation-observability"]},{"slug":"huggingface-lighteval","name":"lighteval","tagline":"All-in-one toolkit for evaluating LLMs across multiple backends","github_url":"https://github.com/huggingface/lighteval","owner":"huggingface","repo":"lighteval","owner_avatar_url":"https://avatars.githubusercontent.com/u/25720743?v=4","primary_language":"Python","stars":2508,"forks":523,"topics":["evaluation","evaluation-framework","evaluation-metrics","huggingface"],"archived":false,"github_pushed_at":"2026-06-29T13:03:33+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/huggingface-lighteval","markdown_url":"https://www.graphcanon.com/tools/huggingface-lighteval.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/huggingface-lighteval","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=huggingface-lighteval","shared_categories":["evaluation-observability"]},{"slug":"evalplus-evalplus","name":"evalplus","tagline":"Rigorous evaluation of LLM-synthesized code","github_url":"https://github.com/evalplus/evalplus","owner":"evalplus","repo":"evalplus","owner_avatar_url":"https://avatars.githubusercontent.com/u/132106461?v=4","primary_language":"Python","stars":1794,"forks":205,"topics":["benchmark","chatgpt","efficiency","gpt-4","large-language-models","program-synthesis","testing"],"archived":false,"github_pushed_at":"2025-10-02T22:56:38+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/evalplus-evalplus","markdown_url":"https://www.graphcanon.com/tools/evalplus-evalplus.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/evalplus-evalplus","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=evalplus-evalplus","shared_categories":["evaluation-observability"]},{"slug":"microsoft-prompty","name":"prompty","tagline":"Tool for managing LLM prompts","github_url":"https://github.com/microsoft/prompty","owner":"microsoft","repo":"prompty","owner_avatar_url":"https://avatars.githubusercontent.com/u/6154722?v=4","primary_language":"TypeScript","stars":1237,"forks":120,"topics":["generative-ai","llm-evaluation","llms","promptengineering","prompty"],"archived":false,"github_pushed_at":"2026-07-28T09:04:09+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/microsoft-prompty","markdown_url":"https://www.graphcanon.com/tools/microsoft-prompty.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/microsoft-prompty","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=microsoft-prompty","shared_categories":["evaluation-observability"]},{"slug":"rlancemartin-auto-evaluator","name":"auto-evaluator","tagline":"A lightweight evaluation tool for question-answering using Langchain","github_url":"https://github.com/rlancemartin/auto-evaluator","owner":"rlancemartin","repo":"auto-evaluator","owner_avatar_url":"https://avatars.githubusercontent.com/u/122662504?v=4","primary_language":"Python","stars":1105,"forks":92,"topics":[],"archived":false,"github_pushed_at":"2023-05-10T02:00:18+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/rlancemartin-auto-evaluator","markdown_url":"https://www.graphcanon.com/tools/rlancemartin-auto-evaluator.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/rlancemartin-auto-evaluator","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=rlancemartin-auto-evaluator","shared_categories":["evaluation-observability"]}]}}