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Comparison

olmo-eval vs future-agi

Verdict

Pick olmo-eval if olmo-eval is an evaluation framework for large language models, using uv for reproducible builds. It focuses on modular task implementations and integrates with various datasets via defined tasks; 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.

Markdown twin · olmo-eval alternatives · future-agi alternatives

GraphCanon updated Sep 20, 2026

10views this month

olmo-eval logo

olmo-eval

allenai/olmo-eval

★ 69pushed Sep 6, 2026
vs
future-agi logo

future-agi

future-agi/future-agi

★ 2.0kpushed Sep 18, 2026

Trust & integrity

Signalolmo-evalfuture-agi
Maintenance
Very active (0d since push)
As of Sep 6, 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 6, 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
olmo-eval trust reportfuture-agi trust reportTrust methodology

Tagline

olmo-eval
Olmo Evaluation Framework for LLM Tasks
future-agi
Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications

Stars

olmo-eval
69
future-agi
2.0k

Forks

olmo-eval
19
future-agi
627

Open issues

olmo-eval
56
future-agi
961

Language

olmo-eval
Python
future-agi
Python

Adopt for

olmo-eval
Olmo-eval is an evaluation framework for large language models, using uv for reproducible builds. It focuses on modular task implementations and integrates with various datasets via defined tasks.
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

olmo-eval
-
future-agi
-

Runtime

olmo-eval
-
future-agi
-

License

olmo-eval
Apache-2.0
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

olmo-eval
Sep 6, 2026
future-agi
Sep 18, 2026

Categories

olmo-eval
Evaluation & Observability
future-agi
AI Agents, Evaluation & Observability, LLM Frameworks

Trust and health

Open issues (now)

olmo-eval
56
future-agi
961

Stars delta

olmo-eval
+4 (30d)
future-agi
+473 (30d)

Open issues delta

olmo-eval
+18 (30d)
future-agi
+365 (30d)

Full report

olmo-eval
Trust report
future-agi
Trust report

Choose olmo-eval if…

  • Tags unique to olmo-eval: datasets, evaluation, llm, python.
  • When you need a flexible evaluation setup that works with a variety of LLMs and datasets.
  • Leaner open-issue backlog (56).

When NOT to use olmo-eval

  • When you require a simpler setup that doesn't need the reproducibility constraints of uv builds.
  • If your project already has an established evaluation toolchain and does not benefit from introducing a new framework for manageability reasons.
GitHubDetails

Choose future-agi if…

  • 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 AI Agents, LLM Frameworks.
  • 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.
GitHubDetails

Explore

olmo-eval trust report →future-agi trust report →Evaluation & Observability category →AI Agents category →LLM Frameworks category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: olmo-eval 69 · future-agi 2.0k (synced Sep 20, 2026).

Common questions

What is the difference between olmo-eval and future-agi?
olmo-eval: Olmo Evaluation Framework for LLM Tasks. 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 olmo-eval over future-agi?
Choose olmo-eval over future-agi when Tags unique to olmo-eval: datasets, evaluation, llm, python; When you need a flexible evaluation setup that works with a variety of LLMs and datasets; Leaner open-issue backlog (56).
When should I choose future-agi over olmo-eval?
Choose future-agi over olmo-eval when 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 AI Agents, LLM Frameworks; You need a self-hostable solution that does not phone home, ensuring full control over your data and evaluation logic.
When should I avoid olmo-eval?
When you require a simpler setup that doesn't need the reproducibility constraints of uv builds. If your project already has an established evaluation toolchain and does not benefit from introducing a new framework for manageability reasons.
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 olmo-eval or future-agi more popular on GitHub?
future-agi has more GitHub stars (2,032 vs 69). Stars measure visibility, not whether either tool fits your constraints.
Are olmo-eval and future-agi open source?
Yes - both are open-source projects on GitHub (olmo-eval: Apache-2.0, future-agi: Apache-2.0).
Where can I find alternatives to olmo-eval or future-agi?
GraphCanon lists graph-backed alternatives at olmo-eval alternatives and future-agi alternatives (olmo-eval 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, olmo-eval or future-agi?
olmo-eval: 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 olmo-eval and future-agi?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: olmo-eval trust report; future-agi trust report.

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