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 toolkit for evaluating and improving LLMs and AI agents. It includes features like tracing, evaluations, simulations, datasets, gateway operations, and guardrails.
Markdown twin · awesome-evals alternatives · future-agi alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | awesome-evals | future-agi |
|---|---|---|
| Maintenance | Active (26d since push) As of 3w · github_public_v1 | Very active (1d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- End-to-end platform for evaluating, observing, and improving LLM and AI agent applications
Stars
- awesome-evals
- 761
- future-agi
- 1.6k
Forks
- awesome-evals
- 71
- future-agi
- 449
Open issues
- awesome-evals
- 21
- future-agi
- 596
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 toolkit for evaluating and improving LLMs and AI agents. It includes features like tracing, evaluations, simulations, datasets, gateway operations, and guardrails.
Persona
- awesome-evals
- -
- future-agi
- -
Runtime
- awesome-evals
- -
- future-agi
- -
License
- awesome-evals
- Other
- future-agi
- Apache-2.0
Last pushed
- awesome-evals
- Jul 1, 2026
- future-agi
- Aug 1, 2026
Categories
- awesome-evals
- AI Agents, Evaluation & Observability
- future-agi
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- awesome-evals
- Active (82%)
- future-agi
- Very active (96%)
Days since push
- awesome-evals
- 26d
- future-agi
- 1d
Open issues (now)
- awesome-evals
- 21
- future-agi
- 596
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, ai-agents, awesome-list, benchmarks.
- 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: Future-AGI is open-source under the Apache 2.0 license, allowing for free use but with potential paid services through deployment and support channels..
- Requirements: Min 4 GB RAM; Requires Docker.
- Tags unique to future-agi: ai-gateway, docker-compose, evals, llm.
- future-agi ships Docker support for self-hosted deployment.
- - Use Future-AGI when you require an end-to-end evaluation platform that supports self-hosting through Docker Compose or VM-based services on public clouds.
When NOT to use future-agi
- - Avoid using Future-AGI if you require Kubernetes or Helm support as of the current state; though these are planned for future release, they are not yet available.
- - If your deployment strategy relies on a managed service like AWS Marketplace, consider other options since it is currently 'Coming Soon'.
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 Jul 28, 2026
- GitHub forks (benchflow-ai/awesome-evals) · observed Jul 28, 2026
- Last push (benchflow-ai/awesome-evals) · observed Jul 1, 2026
- License file (Other) · observed Jul 28, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (future-agi/future-agi) · observed Aug 2, 2026
- GitHub forks (future-agi/future-agi) · observed Aug 2, 2026
- Last push (future-agi/future-agi) · observed Aug 1, 2026
- License file (Apache-2.0) · observed Aug 2, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: awesome-evals 761 · future-agi 1.6k (synced Jul 28, 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: 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, ai-agents, awesome-list, benchmarks; 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: Future-AGI is open-source under the Apache 2.0 license, allowing for free use but with potential paid services through deployment and support channels.; Requirements: Min 4 GB RAM; Requires Docker; Tags unique to future-agi: ai-gateway, docker-compose, evals, llm; future-agi ships Docker support for self-hosted deployment; - Use Future-AGI when you require an end-to-end evaluation platform that supports self-hosting through Docker Compose or VM-based services on public clouds.
- 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?
- - Avoid using Future-AGI if you require Kubernetes or Helm support as of the current state; though these are planned for future release, they are not yet available. - If your deployment strategy relies on a managed service like AWS Marketplace, consider other options since it is currently 'Coming Soon'.
- Is awesome-evals or future-agi more popular on GitHub?
- future-agi has more GitHub stars (1,559 vs 761). 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: 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.