--- title: "edsl vs future-agi" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/expectedparrot-edsl-vs-future-agi-future-agi" tools: ["expectedparrot-edsl", "future-agi-future-agi"] --- # edsl vs future-agi *GraphCanon updated Sep 20, 2026* ## Verdict Pick edsl if edsl stands out for designing AI-powered surveys and experiments in social science and market research by letting users simulate large-scale studies involving multiple AI agents and LLMs; pick future-agi if future-AGI is an open-source platform for evaluating and observing LLM and AI agent applications, offering features like tracing, evaluations, simulations, and guardrails. It is self-hostable and supports. [edsl](https://docs.expectedparrot.com) reports 497 GitHub stars, 84 forks, and 47 open issues, last pushed Sep 18, 2026. [future-agi](https://futureagi.com) has 2.0k stars, 627 forks, and 961 open issues, last pushed Sep 18, 2026. Figures are from public GitHub metadata via [edsl's repository](https://github.com/expectedparrot/edsl) and [future-agi's repository](https://github.com/future-agi/future-agi). | | [edsl](/tools/expectedparrot-edsl.md) | [future-agi](/tools/future-agi-future-agi.md) | | --- | --- | --- | | Tagline | Framework for designing and analyzing AI-powered surveys and experiments | Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications | | Stars | 497 | 2,032 | | Forks | 84 | 627 | | Open issues | 47 | 961 | | Language | Python | Python | | Adopt for | edsl stands out for designing AI-powered surveys and experiments in social science and market research by letting users simulate large-scale studies involving multiple AI agents and LLMs. | Future-AGI is an open-source platform for evaluating and observing LLM and AI agent applications, offering features like tracing, evaluations, simulations, and guardrails. It is self-hostable and supports deployment via, | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache License 2.0, allowing for free use, modification, and distribution of the software, with the condition that any derivative works also be licensed under the same terms. | | Categories | AI Agents, Evaluation & Observability, Model Training | AI Agents, Evaluation & Observability, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [edsl](/tools/expectedparrot-edsl.md) | [future-agi](/tools/future-agi-future-agi.md) | | --- | --- | --- | | Days since push | 1d | 0d | | Open issues (now) | 47 | 961 | | Stars delta | +14 (30d) | +473 (30d) | | Open issues delta | +5 (30d) | +365 (30d) | | Full report | [trust report](/tools/expectedparrot-edsl/trust.md) | [trust report](/tools/future-agi-future-agi/trust.md) | ## Decision facts: edsl - **Adopt for:** edsl stands out for designing AI-powered surveys and experiments in social science and market research by letting users simulate large-scale studies involving multiple AI agents and LLMs. ## Decision facts: future-agi - **Pricing:** freemium - The core platform is free and open-source under the Apache License 2.0. However, for managed services or additional support, contact sales for pricing. - **Requirements:** Min 4 GB RAM; Requires Docker; Future-AGI requires Docker for deployment, with support for Docker Compose and upcoming Kubernetes and Helm support.; For production environments, a setup script is provided to generate secrets and pin image tags, ensuring a secure and reproducible deployment. - **Adopt for:** Future-AGI is an open-source platform for evaluating and observing LLM and AI agent applications, offering features like tracing, evaluations, simulations, and guardrails. It is self-hostable and supports deployment via, - **License detail:** Apache License 2.0, allowing for free use, modification, and distribution of the software, with the condition that any derivative works also be licensed under the same terms. ## Choose when ### Choose edsl if… - License: edsl is MIT, future-agi is Apache-2.0. - Tags unique to edsl: anthropic, data-labeling, domain-specific-language, llm-agent. - Also covers Model Training. - When conducting complex simulations of social science studies that require the use of multiple AI agents or interactions with LLMs. ### Choose future-agi if… - License: future-agi is Apache-2.0, edsl is MIT. - Pricing: The core platform is free and open-source under the Apache License 2.0. However, for managed services or additional support, contact sales for pricing.. - Requirements: Min 4 GB RAM; Requires Docker; Future-AGI requires Docker for deployment, with support for Docker Compose and upcoming Kubernetes and Helm support.; For production environments, a setup script is provided to generate secrets and pin image tags, ensuring a secure and reproducible deployment.. - Tags unique to future-agi: ai-agents, ai-evals, ai-gateway, ai-optimization. - Also covers LLM Frameworks. - future-agi ships Docker support for self-hosted deployment. - You need a self-hostable solution that does not phone home, ensuring full control over your data and evaluation logic. ## When NOT to use edsl - If your project requires real human responses and feedback in experiments, edsl is a system designed around AI agents rather than living participants. - In cases where the scope of the experiment does not involve social science or require significant simulation capabilities with large numbers of AI entities. ## When NOT to use future-agi - You require immediate Kubernetes or Helm support, as these are not yet available, though they are in development. - You are seeking a managed service or a solution available through AWS Marketplace, as these options are not yet available, though they are planned for the future. - Your project is in a highly dynamic environment where frequent updates and vendor support are critical, as Future-AGI is a community-driven project with a focus on self-hosting and open-source. ## Common questions ### What is the difference between edsl and future-agi? edsl: Framework for designing and analyzing AI-powered surveys and experiments. future-agi: Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications. See the comparison table for live GitHub stats and shared categories. ### When should I choose edsl over future-agi? Choose edsl over future-agi when License: edsl is MIT, future-agi is Apache-2.0; Tags unique to edsl: anthropic, data-labeling, domain-specific-language, llm-agent; Also covers Model Training; When conducting complex simulations of social science studies that require the use of multiple AI agents or interactions with LLMs. ### When should I choose future-agi over edsl? Choose future-agi over edsl when License: future-agi is Apache-2.0, edsl is MIT; Pricing: The core platform is free and open-source under the Apache License 2.0. However, for managed services or additional support, contact sales for pricing.; Requirements: Min 4 GB RAM; Requires Docker; Future-AGI requires Docker for deployment, with support for Docker Compose and upcoming Kubernetes and Helm support.; For production environments, a setup script is provided to generate secrets and pin image tags, ensuring a secure and reproducible deployment.; Tags unique to future-agi: ai-agents, ai-evals, ai-gateway, ai-optimization; Also covers LLM Frameworks; future-agi ships Docker support for self-hosted deployment; You need a self-hostable solution that does not phone home, ensuring full control over your data and evaluation logic. ### When should I avoid edsl? If your project requires real human responses and feedback in experiments, edsl is a system designed around AI agents rather than living participants. In cases where the scope of the experiment does not involve social science or require significant simulation capabilities with large numbers of AI entities. ### When should I avoid future-agi? You require immediate Kubernetes or Helm support, as these are not yet available, though they are in development. You are seeking a managed service or a solution available through AWS Marketplace, as these options are not yet available, though they are planned for the future. Your project is in a highly dynamic environment where frequent updates and vendor support are critical, as Future-AGI is a community-driven project with a focus on self-hosting and open-source. ### Is edsl or future-agi more popular on GitHub? future-agi has more GitHub stars (2,032 vs 497). Stars measure visibility, not whether either tool fits your constraints. ### Are edsl and future-agi open source? Yes - both are open-source projects on GitHub (edsl: MIT, future-agi: Apache-2.0). ### Where can I find alternatives to edsl or future-agi? GraphCanon lists graph-backed alternatives at [edsl alternatives](/tools/expectedparrot-edsl/alternatives) and [future-agi alternatives](/tools/future-agi-future-agi/alternatives) ([edsl markdown twin](/tools/expectedparrot-edsl/alternatives.md), [future-agi markdown twin](/tools/future-agi-future-agi/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/expectedparrot-edsl-vs-future-agi-future-agi.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, edsl or future-agi? edsl: Very active. future-agi: Very 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 edsl and future-agi? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [edsl trust report](/tools/expectedparrot-edsl/trust); [future-agi trust report](/tools/future-agi-future-agi/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=expectedparrot-edsl`](/api/graphcanon/graph?tool=expectedparrot-edsl) - 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/_