--- title: "instruct-eval alternatives" type: "alternatives" slug: "declare-lab-instruct-eval" canonical_url: "https://www.graphcanon.com/tools/declare-lab-instruct-eval/alternatives" of: "declare-lab-instruct-eval" count: 24 --- # instruct-eval alternatives *GraphCanon updated Jul 12, 2026* Open-source alternatives to [instruct-eval](/tools/declare-lab-instruct-eval.md) in Evaluation & Observability. ## In short Top alternatives to instruct-eval are ai-berkshire and ai-guide, ranked by typed graph edges - evaluation-observability. [instruct-eval](https://declare-lab.github.io/instruct-eval/) has 552 GitHub stars and 24 open issues, last pushed Mar 10, 2024 per [its repository](https://github.com/declare-lab/instruct-eval). 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-LLM-resources](/tools/wangrongsheng-awesome-llm-resources.md) - Summary of the world's best LLM resources. (★ 8,668) [Very active] - [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] - [evals](/tools/openai-evals.md) - Framework for evaluating LLMs and LLM systems with an open-source registry of benchmarks. (★ 18,890) [Steady] - [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] - [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 - [instruct-eval vs ai-berkshire](/compare/declare-lab-instruct-eval-vs-xbtlin-ai-berkshire.md) - [instruct-eval vs ai-guide](/compare/declare-lab-instruct-eval-vs-liyupi-ai-guide.md) - [instruct-eval vs Anthropic-Cybersecurity-Skills](/compare/declare-lab-instruct-eval-vs-mukul975-anthropic-cybersecurity-skills.md) - [instruct-eval vs awesome-LLM-resources](/compare/declare-lab-instruct-eval-vs-wangrongsheng-awesome-llm-resources.md) - [instruct-eval vs Awesome-Multimodal-Large-Language-Models](/compare/bradyfu-awesome-multimodal-large-language-models-vs-declare-lab-instruct-eval.md) - [instruct-eval vs bisheng](/compare/dataelement-bisheng-vs-declare-lab-instruct-eval.md) - [instruct-eval vs casdoor](/compare/casdoor-casdoor-vs-declare-lab-instruct-eval.md) - [instruct-eval vs code-review-graph](/compare/declare-lab-instruct-eval-vs-tirth8205-code-review-graph.md) ## When NOT to use instruct-eval - Last GitHub push was 854 days ago (dormant maintenance, Mar 10, 2024). Validate activity before betting a new project on instruct-eval. - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ## 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 instruct-eval? Graph-backed alternatives to instruct-eval include ai-berkshire, ai-guide, Anthropic-Cybersecurity-Skills, awesome-LLM-resources, Awesome-Multimodal-Large-Language-Models. GraphCanon ranks them by typed relationship edges and constraint overlap from decision_facts - not marketing votes or raw star sort. ### How does GraphCanon rank instruct-eval 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 instruct-eval? Last GitHub push was 854 days ago (dormant maintenance, Mar 10, 2024). Validate activity before betting a new project on instruct-eval. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ### Is instruct-eval open source? Yes. instruct-eval is an open-source project on GitHub under the Apache-2.0 license, with 552 stars. ### What is instruct-eval used for? InstructEval offers tools to quantitatively assess the performance of instruction-tuned large language models on unseen tasks, including measures related to safety and problem-solving capabilities. ### What category is instruct-eval in? instruct-eval is categorized under Evaluation & Observability in the GraphCanon knowledge graph. ### How do instruct-eval alternatives compare head-to-head? Each alternative has a neutral compare page against instruct-eval, for example [ai-berkshire vs instruct-eval](/compare/declare-lab-instruct-eval-vs-xbtlin-ai-berkshire), [ai-guide vs instruct-eval](/compare/declare-lab-instruct-eval-vs-liyupi-ai-guide), [Anthropic-Cybersecurity-Skills vs instruct-eval](/compare/declare-lab-instruct-eval-vs-mukul975-anthropic-cybersecurity-skills). Stats come from live GitHub metadata. ### Is there a machine-readable alternatives list? Yes. The markdown twin at [instruct-eval alternatives](/tools/declare-lab-instruct-eval/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 instruct-eval? GraphCanon publishes a sourced trust report for instruct-eval at [instruct-eval trust report](/tools/declare-lab-instruct-eval/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=declare-lab-instruct-eval`](/api/graphcanon/graph?tool=declare-lab-instruct-eval) - 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/_