--- title: "futureagi-sdk vs eval-view" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/future-agi-futureagi-sdk-vs-hidai25-eval-view" tools: ["future-agi-futureagi-sdk", "hidai25-eval-view"] --- # futureagi-sdk vs eval-view *GraphCanon updated Sep 20, 2026* ## Verdict Pick futureagi-sdk if futureagi-sdk is a production-grade SDK for AI evaluation, prompt management, and observability, offering automated evaluations with sub-100ms guardrails and support for Python and TypeScript; pick eval-view if eval-view is a Python-based tool for regression testing of AI agents, supporting multiple platforms like LangGraph, CrewAI, OpenAI, and Anthropic. It snapshots AI behavior and detects regressions through diffing tool. [futureagi-sdk](https://app.futureagi.com) reports 51 GitHub stars, 8 forks, and 4 open issues, last pushed Jul 8, 2026. [eval-view](https://evalview.com) has 134 stars, 24 forks, and 2 open issues, last pushed Sep 5, 2026. Figures are from public GitHub metadata via [futureagi-sdk's repository](https://github.com/future-agi/futureagi-sdk) and [eval-view's repository](https://github.com/hidai25/eval-view). | | [futureagi-sdk](/tools/future-agi-futureagi-sdk.md) | [eval-view](/tools/hidai25-eval-view.md) | | --- | --- | --- | | Tagline | Production-grade AI evaluation, prompt management & observability SDK | Regression testing for AI agents, snapshots behavior, diffs tool calls, catches regressions in CI | | Stars | 51 | 134 | | Forks | 8 | 24 | | Open issues | 4 | 2 | | Language | Python | Python | | Adopt for | futureagi-sdk is a production-grade SDK for AI evaluation, prompt management, and observability, offering automated evaluations with sub-100ms guardrails and support for Python and TypeScript. | Eval-view is a Python-based tool for regression testing of AI agents, supporting multiple platforms like LangGraph, CrewAI, OpenAI, and Anthropic. It snapshots AI behavior and detects regressions through diffing tool and | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | Evaluation & Observability | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [futureagi-sdk](/tools/future-agi-futureagi-sdk.md) | [eval-view](/tools/hidai25-eval-view.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Active (82%) | | Days since push | 71d | 13d | | Open issues (now) | 4 | 2 | | Stars delta | +3 (30d) | +8 (30d) | | Open issues delta | +1 (30d) | -1 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/future-agi-futureagi-sdk/trust.md) | [trust report](/tools/hidai25-eval-view/trust.md) | ## Decision facts: futureagi-sdk - **Pricing:** freemium - The SDK is available under the Apache-2.0 license, which is free to use, but additional services or features may be available on a paid basis. - **Requirements:** Min 2 GB RAM; Ensure your development environment supports Python or TypeScript for seamless integration. - **Adopt for:** futureagi-sdk is a production-grade SDK for AI evaluation, prompt management, and observability, offering automated evaluations with sub-100ms guardrails and support for Python and TypeScript. - **License detail:** Apache-2.0 ## Decision facts: eval-view - **Adopt for:** Eval-view is a Python-based tool for regression testing of AI agents, supporting multiple platforms like LangGraph, CrewAI, OpenAI, and Anthropic. It snapshots AI behavior and detects regressions through diffing tool and ## Choose when ### Choose futureagi-sdk if… - Pricing: The SDK is available under the Apache-2.0 license, which is free to use, but additional services or features may be available on a paid basis.. - Requirements: Min 2 GB RAM; Ensure your development environment supports Python or TypeScript for seamless integration.. - Tags unique to futureagi-sdk: ai, annotations, dataset, development. - When you need automated evaluations with sub-100ms guardrails, ensuring fast and efficient performance without the need for human intervention. ### Choose eval-view if… - Tags unique to eval-view: agent-benchmark, agent-evaluation, agentic-ai, anthropic. - Also covers AI Agents. - eval-view ships Docker support for self-hosted deployment. - When you need to snapshot and diff the behavior of AI agents across multiple platforms, including LangGraph, CrewAI, OpenAI, and Anthropic. ## When NOT to use futureagi-sdk - If your project strictly requires a single programming language and does not benefit from the dual support of Python and TypeScript. - When your evaluation process requires human oversight at every step, as futureagi-sdk is designed for automated evaluations without human-in-the-loop. ## When NOT to use eval-view - If you are working exclusively with AI platforms not supported by eval-view, such as those not listed among LangGraph, CrewAI, OpenAI, and Anthropic. - When you do not require regression testing or behavior snapshotting for your AI agents, as eval-view is specifically designed for these purposes. - If you are looking for a tool that does not involve backend API charges for executing your agent, as eval-view does not skip these charges even with the --no-judge flag. - If you need a tool that automatically handles the migration from the OpenAI Assistants API to the Responses API without manual intervention, as eval-view requires following a migration guide for this. ## Common questions ### What is the difference between futureagi-sdk and eval-view? futureagi-sdk: Production-grade AI evaluation, prompt management & observability SDK. eval-view: Regression testing for AI agents, snapshots behavior, diffs tool calls, catches regressions in CI. See the comparison table for live GitHub stats and shared categories. ### When should I choose futureagi-sdk over eval-view? Choose futureagi-sdk over eval-view when Pricing: The SDK is available under the Apache-2.0 license, which is free to use, but additional services or features may be available on a paid basis.; Requirements: Min 2 GB RAM; Ensure your development environment supports Python or TypeScript for seamless integration.; Tags unique to futureagi-sdk: ai, annotations, dataset, development; When you need automated evaluations with sub-100ms guardrails, ensuring fast and efficient performance without the need for human intervention. ### When should I choose eval-view over futureagi-sdk? Choose eval-view over futureagi-sdk when Tags unique to eval-view: agent-benchmark, agent-evaluation, agentic-ai, anthropic; Also covers AI Agents; eval-view ships Docker support for self-hosted deployment; When you need to snapshot and diff the behavior of AI agents across multiple platforms, including LangGraph, CrewAI, OpenAI, and Anthropic. ### When should I avoid futureagi-sdk? If your project strictly requires a single programming language and does not benefit from the dual support of Python and TypeScript. When your evaluation process requires human oversight at every step, as futureagi-sdk is designed for automated evaluations without human-in-the-loop. ### When should I avoid eval-view? If you are working exclusively with AI platforms not supported by eval-view, such as those not listed among LangGraph, CrewAI, OpenAI, and Anthropic. When you do not require regression testing or behavior snapshotting for your AI agents, as eval-view is specifically designed for these purposes. If you are looking for a tool that does not involve backend API charges for executing your agent, as eval-view does not skip these charges even with the --no-judge flag. If you need a tool that automatically handles the migration from the OpenAI Assistants API to the Responses API without manual intervention, as eval-view requires following a migration guide for this. ### Is futureagi-sdk or eval-view more popular on GitHub? eval-view has more GitHub stars (134 vs 51). Stars measure visibility, not whether either tool fits your constraints. ### Are futureagi-sdk and eval-view open source? Yes - both are open-source projects on GitHub (futureagi-sdk: Apache-2.0, eval-view: Apache-2.0). ### Where can I find alternatives to futureagi-sdk or eval-view? GraphCanon lists graph-backed alternatives at [futureagi-sdk alternatives](/tools/future-agi-futureagi-sdk/alternatives) and [eval-view alternatives](/tools/hidai25-eval-view/alternatives) ([futureagi-sdk markdown twin](/tools/future-agi-futureagi-sdk/alternatives.md), [eval-view markdown twin](/tools/hidai25-eval-view/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/future-agi-futureagi-sdk-vs-hidai25-eval-view.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, futureagi-sdk or eval-view? futureagi-sdk: Steady. eval-view: 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 futureagi-sdk and eval-view? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [futureagi-sdk trust report](/tools/future-agi-futureagi-sdk/trust); [eval-view trust report](/tools/hidai25-eval-view/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=future-agi-futureagi-sdk`](/api/graphcanon/graph?tool=future-agi-futureagi-sdk) - 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/_