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Head-to-head · AI Agent Evaluation Tools

DeepEval vs Future AGI AI Evaluation SDK

  • Updated Oct 2026
  • Both researched from official sources
  • 5 checks side by side
Higher score DeepEval #1 in AI Agent Evaluation Tools 9.4/10 Free plan Free plan✓ 4 of 4 features Visit DeepEval
Future AGI AI Evaluation SDK #3 in AI Agent Evaluation Tools 9.2/10 Free plan Free plan✓ 4 of 4 features Visit Future AGI

DeepEval leads on 0 checks, Future AGI AI Evaluation SDK on 0, and 5 are even. Who comes out ahead on the 5 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreDeepEval · 9.4/10
  • Free planboth

DeepEval scores higher on our rubric for ai agent evaluation tools: 9.4 against 9.2 out of 10; our editors rank them #1 and #3.

On evaluation methods, Future AGI AI Evaluation SDK gives you Hybrid where DeepEval offers Model.

DeepEval is the better fit for teams wanting a free, developer-focused evaluator. Future AGI AI Evaluation SDK is the better fit for teams needing broad, flexible evaluation coverage.

  • DeepEval fits best

    Teams wanting a free, developer-focused evaluator

  • Future AGI AI Evaluation SDK fits best

    Teams needing broad, flexible evaluation coverage

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Side by side

Feature DeepEval 9.4/10 Visit ↗ Future AGI AI Evaluation SDK 9.2/10 Visit ↗
At a glance
Editor score 9.4 9.2
Ranking #1 in AI Agent Evaluation Tools #3 in AI Agent Evaluation Tools
Best for Teams wanting a free, developer-focused evaluator Teams needing broad, flexible evaluation coverage
Pricing model Free Free plan + paid
Starting price Free plan $250/mo
Free plan ✓ ✓
Free trial — —
Deployment Self-hosted Cloud, Self-hosted
Support Community, Docs Email, Community, Docs
Integrations 20 integrations 40+ integrations
Built for Solo, Small business, Mid-market, Enterprise Solo, Small business, Mid-market, Enterprise
Features DeepEval 4/4 · Future AGI AI Evaluation SDK 4/4
Tool-call checks ✓ ✓
Trace ingestion ✓ ✓
Safety evaluations ✓ ✓
Regression runs ✓ ✓
Specs
Evaluation methods Model Hybrid
SDK language support Both Both
Dataset limit Not checked yet Not checked yet
Our review
Pros
  • Deep agent testing covers trajectories, components, and tool-call correctness.
  • Open-source and free, with Python and TypeScript SDKs.
  • Supports safety metrics, synthetic datasets, tracing, and regression runs.
  • Combines code, LLM-judge, trace, simulation, and safety evaluations
  • Supports Python and TypeScript SDKs plus web and API access
  • Free tier includes unlimited projects and team members
Cons
  • The core product is self-hosted rather than a managed service.
  • Shared reports and monitoring require the separate Confident AI platform.
  • Its developer-focused workflow may not suit teams seeking a nontechnical evaluator.
  • Usage beyond free allowances is billed on Pay-as-you-go
  • Advanced retention and governance controls require paid tiers
  • Its broad feature set may exceed the needs of simple evaluation workflows
Our verdict

DeepEval is an open-source framework for evaluating AI applications, agents, RAG pipelines, chatbots, and MCP systems. It is designed for development teams that want pytest-style unit testing alongside LLM-as-a-judge, code-based, DAG,…

Read the review →

Future AGI AI Evaluation SDK provides SDKs and platform services for evaluating AI applications and agents. It is designed for engineers, product teams, and domain experts building or operating AI agents. Evaluation options include…

Read the review →
  1. DeepEvalAI Agent Evaluation Tools 9.4Free plan
  2. Future AGI AI Evaluation SDKAI Agent Evaluation Tools 9.2Free plan

Strengths and trade-offs

  • DeepEval — where it wins

    • Deep agent testing covers trajectories, components, and tool-call correctness.
    • Open-source and free, with Python and TypeScript SDKs.
    • Supports safety metrics, synthetic datasets, tracing, and regression runs.

    Where it doesn't

    • The core product is self-hosted rather than a managed service.
    • Shared reports and monitoring require the separate Confident AI platform.
    • Its developer-focused workflow may not suit teams seeking a nontechnical evaluator.
  • Future AGI AI Evaluation SDK — where it wins

    • Combines code, LLM-judge, trace, simulation, and safety evaluations
    • Supports Python and TypeScript SDKs plus web and API access
    • Free tier includes unlimited projects and team members

    Where it doesn't

    • Usage beyond free allowances is billed on Pay-as-you-go
    • Advanced retention and governance controls require paid tiers
    • Its broad feature set may exceed the needs of simple evaluation workflows

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update