Comparison
awesome-evals vs future-agi
Verdict
Pick awesome-evals if curated resources for AI agent evaluation with BenchFlow backing its maintenance; 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 deployment via,.
Markdown twin · awesome-evals alternatives · future-agi alternatives
GraphCanon updated Sep 20, 2026
11views this month
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Trust & integrity
| Signal | awesome-evals | future-agi |
|---|---|---|
| Maintenance | Very active (4d since push) As of Sep 20, 2026 · github_public_v1 | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- awesome-evals
- A curated library of resources for building and evaluating AI agents
- future-agi
- Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications
Stars
- awesome-evals
- 901
- future-agi
- 2.0k
Forks
- awesome-evals
- 104
- future-agi
- 627
Open issues
- awesome-evals
- 34
- future-agi
- 961
Language
- awesome-evals
- -
- future-agi
- Python
Adopt for
- awesome-evals
- Curated resources for AI agent evaluation with BenchFlow backing its maintenance
- future-agi
- 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
- awesome-evals
- -
- future-agi
- -
Runtime
- awesome-evals
- -
- future-agi
- -
License
- awesome-evals
- Other
- future-agi
- 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.
Last pushed
- awesome-evals
- Sep 15, 2026
- future-agi
- Sep 18, 2026
Categories
- awesome-evals
- AI Agents, Evaluation & Observability
- future-agi
- AI Agents, Evaluation & Observability, LLM Frameworks
Trust and health
Days since push
- awesome-evals
- 4d
- future-agi
- 0d
Open issues (now)
- awesome-evals
- 34
- future-agi
- 961
Stars delta
- awesome-evals
- +140 (30d)
- future-agi
- +473 (30d)
Open issues delta
- awesome-evals
- +13 (30d)
- future-agi
- +365 (30d)
Full report
- awesome-evals
- Trust report
- future-agi
- Trust report
Choose awesome-evals if…
- License: awesome-evals is Other, future-agi is Apache-2.0.
- Tags unique to awesome-evals: agent-evaluation, awesome-list, benchmarks, llm-evaluation.
- Need diverse resources encompassing papers, blogs, talks, tools, and benchmarks specifically curated for AI agent evaluation
When NOT to use awesome-evals
- Require real-time interactive support or direct tool integrations not covered by a static resource list
- Seeking proprietary tools from specific vendors rather than open resources and community content
Choose future-agi if…
- License: future-agi is Apache-2.0, awesome-evals is Other.
- 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-evals, ai-gateway, ai-optimization, ai-simulations.
- 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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (benchflow-ai/awesome-evals) · observed Sep 20, 2026
- GitHub forks (benchflow-ai/awesome-evals) · observed Sep 20, 2026
- Last push (benchflow-ai/awesome-evals) · observed Sep 15, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (future-agi/future-agi) · observed Sep 20, 2026
- GitHub forks (future-agi/future-agi) · observed Sep 20, 2026
- Last push (future-agi/future-agi) · observed Sep 18, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: awesome-evals 901 · future-agi 2.0k (synced Sep 20, 2026).
Common questions
- What is the difference between awesome-evals and future-agi?
- awesome-evals: A curated library of resources for building and evaluating AI agents. 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 awesome-evals over future-agi?
- Choose awesome-evals over future-agi when License: awesome-evals is Other, future-agi is Apache-2.0; Tags unique to awesome-evals: agent-evaluation, awesome-list, benchmarks, llm-evaluation; Need diverse resources encompassing papers, blogs, talks, tools, and benchmarks specifically curated for AI agent evaluation.
- When should I choose future-agi over awesome-evals?
- Choose future-agi over awesome-evals when License: future-agi is Apache-2.0, awesome-evals is Other; 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-evals, ai-gateway, ai-optimization, ai-simulations; 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 awesome-evals?
- Require real-time interactive support or direct tool integrations not covered by a static resource list Seeking proprietary tools from specific vendors rather than open resources and community content
- 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 awesome-evals or future-agi more popular on GitHub?
- future-agi has more GitHub stars (2,032 vs 901). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-evals and future-agi open source?
- Yes - both are open-source projects on GitHub (awesome-evals: Other, future-agi: Apache-2.0).
- Where can I find alternatives to awesome-evals or future-agi?
- GraphCanon lists graph-backed alternatives at awesome-evals alternatives and future-agi alternatives (awesome-evals markdown twin, future-agi markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, awesome-evals or future-agi?
- awesome-evals: 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 awesome-evals and future-agi?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-evals trust report; future-agi trust report.