--- title: "evals alternatives" type: "alternatives" slug: "openai-evals" canonical_url: "https://www.graphcanon.com/tools/openai-evals/alternatives" of: "openai-evals" count: 24 --- # evals alternatives *GraphCanon updated Jul 11, 2026* Open-source alternatives to [evals](/tools/openai-evals.md) in Evaluation & Observability. ## In short Top alternatives to evals are ai-berkshire and ai-guide, ranked by typed graph edges - evaluation-observability. [evals](https://github.com/openai/evals) has 19k GitHub stars and 217 open issues, last pushed Apr 14, 2026 per [its repository](https://github.com/openai/evals). The top typed alternative, [ai-berkshire](https://github.com/xbtlin/ai-berkshire), shows 13k stars and 1.8k forks, last pushed Jul 11, 2026. ## Same categories - [ai-berkshire](/tools/xbtlin-ai-berkshire.md) - AI-era Berkshire: a value investing research framework utilizing Claude Code / Codex with methodologies from Warren Buffett, Charlie Munger among others and multi-Agent adversarial analysis. (★ 12,711) [Very active] - [ai-guide](/tools/liyupi-ai-guide.md) - 免费开放的AI知识共享平台 (★ 17,126) [Active] _[Freemium]_ - [Anthropic-Cybersecurity-Skills](/tools/mukul975-anthropic-cybersecurity-skills.md) - 817 structured cybersecurity skills for AI agents (★ 25,282) [Active] _[Freemium]_ - [Awesome-Multimodal-Large-Language-Models](/tools/bradyfu-awesome-multimodal-large-language-models.md) - Latest Advances on Multimodal Large Language Models (★ 17,937) [Active] - [bisheng](/tools/dataelement-bisheng.md) - BISHENG is an open LLM devops platform for next generation Enterprise AI applications (★ 11,508) [Very active] - [casdoor](/tools/casdoor-casdoor.md) - An open-source Agent-first Identity and Access Management (IAM) / LLM MCP & agent gateway and auth server (★ 13,923) [Very active] - [code-review-graph](/tools/tirth8205-code-review-graph.md) - Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reductions on reviews and large-repo w (★ 19,416) [Active] - [deepeval](/tools/confident-ai-deepeval.md) - The LLM Evaluation Framework (★ 16,767) [Very active] - [doris](/tools/apache-doris.md) - Real-time analytics and hybrid search database for AI agents (★ 15,593) [Very active] - [evidently](/tools/evidentlyai-evidently.md) - Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics. (★ 7,682) [Steady] _[Freemium]_ - [evolver](/tools/evomap-evolver.md) - GEP-powered self-evolving engine for AI agents (★ 8,884) [Very active] - [FastChat](/tools/lm-sys-fastchat.md) - An open platform for training, serving, and evaluating large language models (★ 39,490) [Steady] - [FinGPT](/tools/ai4finance-foundation-fingpt.md) - FinGPT: Open-Source Financial Large Language Models (★ 20,840) [Very active] - [garak](/tools/nvidia-garak.md) - the LLM vulnerability scanner (★ 8,400) [Very active] - [gateway](/tools/portkey-ai-gateway.md) - A high-performance AI Gateway connecting to over 1,600 LLMs with guardrails. (★ 12,395) [Steady] - [gitleaks](/tools/gitleaks-gitleaks.md) - Find secrets with Gitleaks 🔑 (★ 28,084) [Very active] - [gorilla](/tools/shishirpatil-gorilla.md) - Training and Evaluating LLMs for Function Calls (Tool Calls) (★ 12,940) [Steady] _[Freemium]_ - [headroom](/tools/headroomlabs-ai-headroom.md) - Compress tool outputs and data to reduce tokens before reaching the LLM. (★ 58,486) [Very active] - [heretic](/tools/p-e-w-heretic.md) - Fully automatic censorship removal for language models (★ 26,003) [Very active] - [jax](/tools/jax-ml-jax.md) - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more (★ 35,999) [Very active] - [kubeshark](/tools/kubeshark-kubeshark.md) - eBPF-powered network observability for Kubernetes. Indexes L4/L7 traffic with full K8s context, decrypts TLS without keys. Queryable by AI agents via MCP and humans via dashboard. (★ 11,994) [Very active] - [langfuse](/tools/langfuse-langfuse.md) - Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets (★ 30,927) [Very active] _[Freemium]_ - [llm-course](/tools/mlabonne-llm-course.md) - Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks. (★ 80,839) [Slowing] - [llm-engineer-toolkit](/tools/kalyanks-nlp-llm-engineer-toolkit.md) - A curated list of over 120 LLM libraries categorized. (★ 10,570) [Active] ## Head-to-head comparisons - [evals vs ai-berkshire](/compare/openai-evals-vs-xbtlin-ai-berkshire.md) - [evals vs ai-guide](/compare/liyupi-ai-guide-vs-openai-evals.md) - [evals vs Anthropic-Cybersecurity-Skills](/compare/mukul975-anthropic-cybersecurity-skills-vs-openai-evals.md) - [evals vs Awesome-Multimodal-Large-Language-Models](/compare/bradyfu-awesome-multimodal-large-language-models-vs-openai-evals.md) - [evals vs bisheng](/compare/dataelement-bisheng-vs-openai-evals.md) - [evals vs casdoor](/compare/casdoor-casdoor-vs-openai-evals.md) - [evals vs code-review-graph](/compare/openai-evals-vs-tirth8205-code-review-graph.md) - [evals vs deepeval](/compare/confident-ai-deepeval-vs-openai-evals.md) ## When NOT to use evals - * When evaluating models or systems that do not benefit from being integrated with the OpenAI API, as some features like direct evals configuration in the OpenAI Dashboard require an OpenAI key. - * If you are looking for an evaluation framework that doesn’t involve external dependencies such as Git Large File Storage (LFS) and specific Python version requirements (Python 3.9 minimum), or if a繁 ## Related alternatives hubs - [LangChain alternatives](/tools/langchain-ai-langchain/alternatives.md) - [LlamaIndex alternatives](/tools/run-llama-llama-index/alternatives.md) - [Qdrant alternatives](/tools/qdrant-qdrant/alternatives.md) ## Common questions ### What are the best alternatives to evals? Graph-backed alternatives to evals include ai-berkshire, ai-guide, Anthropic-Cybersecurity-Skills, Awesome-Multimodal-Large-Language-Models, bisheng. GraphCanon ranks them by typed relationship edges and constraint overlap from decision_facts - not marketing votes or raw star sort. ### How does GraphCanon rank evals alternatives? Direct alternative and successor edges from the knowledge graph come first, ordered by edge type and shared constraint facets (persona, runtime, hosting). Category neighbours fill the list only after curated edges. Stars are shown for context, not as the primary sort. ### When should I avoid evals? * When evaluating models or systems that do not benefit from being integrated with the OpenAI API, as some features like direct evals configuration in the OpenAI Dashboard require an OpenAI key. * If you are looking for an evaluation framework that doesn’t involve external dependencies such as Git Large File Storage (LFS) and specific Python version requirements (Python 3.9 minimum), or if a繁 ### Is evals open source? Yes. evals is an open-source project on GitHub under the Other license, with 18,890 stars. ### What is evals used for? Evals is a framework from OpenAI designed for the evaluation of large language models (LLMs) and systems built using them. It includes a registry of pre-existing evals to test various dimensions of model performance as well as tools to create custom evaluations tailored to specific use cases. ### What category is evals in? evals is categorized under Evaluation & Observability in the GraphCanon knowledge graph. ### How do evals alternatives compare head-to-head? Each alternative has a neutral compare page against evals, for example [ai-berkshire vs evals](/compare/openai-evals-vs-xbtlin-ai-berkshire), [ai-guide vs evals](/compare/liyupi-ai-guide-vs-openai-evals), [Anthropic-Cybersecurity-Skills vs evals](/compare/mukul975-anthropic-cybersecurity-skills-vs-openai-evals). Stats come from live GitHub metadata. ### Is there a machine-readable alternatives list? Yes. The markdown twin at [evals alternatives](/tools/openai-evals/alternatives.md) lists direct alternatives and same-category tools with internal links to each tool markdown page. ### Where are other high-intent alternatives hubs? Related P0 OSS-vs-OSS hubs: [LangChain alternatives](/tools/langchain-ai-langchain/alternatives), [LlamaIndex alternatives](/tools/run-llama-llama-index/alternatives), [Qdrant alternatives](/tools/qdrant-qdrant/alternatives). Vector-database intent (including Pinecone-style queries) is covered at [Qdrant alternatives](/tools/qdrant-qdrant/alternatives). ### Where can I see maintenance and security signals for evals? GraphCanon publishes a sourced trust report for evals at [evals trust report](/tools/openai-evals/trust) - maintenance posture, fork provenance, and dependency/MCP scan status with methodology tags. Not a safety grade. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=openai-evals`](/api/graphcanon/graph?tool=openai-evals) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_