--- title: "olmo-eval vs futureagi-sdk" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/allenai-olmo-eval-vs-future-agi-futureagi-sdk" tools: ["allenai-olmo-eval", "future-agi-futureagi-sdk"] --- # olmo-eval vs futureagi-sdk *GraphCanon updated Aug 7, 2026* ## Verdict Pick olmo-eval if olmo-eval is an evaluation framework for large language models, using uv for reproducible builds. It focuses on modular task implementations and integrates with various datasets via defined tasks; pick futureagi-sdk if future AGI SDK is an innovative toolkit designed for production-grade AI evaluation, prompt management, and observability. It supports Python and TypeScript languages and is licensed under. [olmo-eval](https://github.com/allenai/olmo-eval) reports 65 GitHub stars, 14 forks, and 38 open issues, last pushed Aug 6, 2026. [futureagi-sdk](https://app.futureagi.com) has 48 stars, 5 forks, and 3 open issues, last pushed Jul 8, 2026. Figures are from public GitHub metadata via [olmo-eval's repository](https://github.com/allenai/olmo-eval) and [futureagi-sdk's repository](https://github.com/future-agi/futureagi-sdk). | | [olmo-eval](/tools/allenai-olmo-eval.md) | [futureagi-sdk](/tools/future-agi-futureagi-sdk.md) | | --- | --- | --- | | Tagline | Olmo Evaluation Framework for LLM Tasks | Production-grade AI evaluation, prompt management & observability SDK | | Stars | 65 | 48 | | Forks | 14 | 5 | | Open issues | 38 | 3 | | Language | Python | Python | | Adopt for | Olmo-eval is an evaluation framework for large language models, using uv for reproducible builds. It focuses on modular task implementations and integrates with various datasets via defined tasks. | Future AGI SDK is an innovative toolkit designed for production-grade AI evaluation, prompt management, and observability. It supports Python and TypeScript languages and is licensed under Apache-2.0. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | The Future AGI SDK uses the Apache License, Version 2.0 (Apache-2.0). It allows users to freely use, modify, and distribute the software while maintaining copyright notices. | | Categories | Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [olmo-eval](/tools/allenai-olmo-eval.md) | [futureagi-sdk](/tools/future-agi-futureagi-sdk.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 0d | 25d | | Open issues (now) | 38 | 3 | | Full report | [trust report](/tools/allenai-olmo-eval/trust.md) | [trust report](/tools/future-agi-futureagi-sdk/trust.md) | ## Decision facts: olmo-eval - **Adopt for:** Olmo-eval is an evaluation framework for large language models, using uv for reproducible builds. It focuses on modular task implementations and integrates with various datasets via defined tasks. ## Decision facts: futureagi-sdk - **Requirements:** Supports Python and TypeScript languages; Automated evaluations with sub-100ms guardrails - **Adopt for:** Future AGI SDK is an innovative toolkit designed for production-grade AI evaluation, prompt management, and observability. It supports Python and TypeScript languages and is licensed under Apache-2.0. - **License detail:** The Future AGI SDK uses the Apache License, Version 2.0 (Apache-2.0). It allows users to freely use, modify, and distribute the software while maintaining copyright notices. ## Choose when ### Choose olmo-eval if… - Tags unique to olmo-eval: datasets, llm, python, tasks. - olmo-eval ships Docker support for self-hosted deployment. - When you need a flexible evaluation setup that works with a variety of LLMs and datasets. ### Choose futureagi-sdk if… - Requirements: Supports Python and TypeScript languages; Automated evaluations with sub-100ms guardrails. - Tags unique to futureagi-sdk: ai-agents, annotations, dataset, development. - Future AGI SDK is an innovative toolkit designed for production-grade AI evaluation, prompt management, and observability. It supports Python and TypeScript languages and is licensed under Apache-2.0. ## When NOT to use olmo-eval - When you require a simpler setup that doesn't need the reproducibility constraints of uv builds. - If your project already has an established evaluation toolchain and does not benefit from introducing a new framework for manageability reasons. ## When NOT to use futureagi-sdk - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ## Common questions ### What is the difference between olmo-eval and futureagi-sdk? olmo-eval: Olmo Evaluation Framework for LLM Tasks. futureagi-sdk: Production-grade AI evaluation, prompt management & observability SDK. See the comparison table for live GitHub stats and shared categories. ### When should I choose olmo-eval over futureagi-sdk? Choose olmo-eval over futureagi-sdk when Tags unique to olmo-eval: datasets, llm, python, tasks; olmo-eval ships Docker support for self-hosted deployment; When you need a flexible evaluation setup that works with a variety of LLMs and datasets. ### When should I choose futureagi-sdk over olmo-eval? Choose futureagi-sdk over olmo-eval when Requirements: Supports Python and TypeScript languages; Automated evaluations with sub-100ms guardrails; Tags unique to futureagi-sdk: ai-agents, annotations, dataset, development; Future AGI SDK is an innovative toolkit designed for production-grade AI evaluation, prompt management, and observability. It supports Python and TypeScript languages and is licensed under Apache-2.0. ### When should I avoid olmo-eval? When you require a simpler setup that doesn't need the reproducibility constraints of uv builds. If your project already has an established evaluation toolchain and does not benefit from introducing a new framework for manageability reasons. ### When should I avoid futureagi-sdk? Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ### Is olmo-eval or futureagi-sdk more popular on GitHub? olmo-eval has more GitHub stars (65 vs 48). Stars measure visibility, not whether either tool fits your constraints. ### Are olmo-eval and futureagi-sdk open source? Yes - both are open-source projects on GitHub (olmo-eval: Apache-2.0, futureagi-sdk: Apache-2.0). ### Where can I find alternatives to olmo-eval or futureagi-sdk? GraphCanon lists graph-backed alternatives at [olmo-eval alternatives](/tools/allenai-olmo-eval/alternatives) and [futureagi-sdk alternatives](/tools/future-agi-futureagi-sdk/alternatives) ([olmo-eval markdown twin](/tools/allenai-olmo-eval/alternatives.md), [futureagi-sdk markdown twin](/tools/future-agi-futureagi-sdk/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/allenai-olmo-eval-vs-future-agi-futureagi-sdk.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, olmo-eval or futureagi-sdk? olmo-eval: Very active. futureagi-sdk: Active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for olmo-eval and futureagi-sdk? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [olmo-eval trust report](/tools/allenai-olmo-eval/trust); [futureagi-sdk trust report](/tools/future-agi-futureagi-sdk/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=allenai-olmo-eval`](/api/graphcanon/graph?tool=allenai-olmo-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/_