Comparison
olmo-eval vs futureagi-sdk
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 futureagi-sdk if futureagi-sdk is a production-grade SDK for AI evaluation, prompt management, and observability, offering automated evaluations with sub-100ms guardrails and support for Python and TypeScript.
Markdown twin · olmo-eval alternatives · futureagi-sdk alternatives
GraphCanon updated Sep 20, 2026
11views this month
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Trust & integrity
| Signal | olmo-eval | futureagi-sdk |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 6, 2026 · github_public_v1 | Steady (71d 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 |
Tagline
- olmo-eval
- Olmo Evaluation Framework for LLM Tasks
- futureagi-sdk
- Production-grade AI evaluation, prompt management & observability SDK
Stars
- olmo-eval
- 69
- futureagi-sdk
- 51
Forks
- olmo-eval
- 19
- futureagi-sdk
- 8
Open issues
- olmo-eval
- 56
- futureagi-sdk
- 4
Language
- olmo-eval
- Python
- futureagi-sdk
- 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.
- futureagi-sdk
- futureagi-sdk is a production-grade SDK for AI evaluation, prompt management, and observability, offering automated evaluations with sub-100ms guardrails and support for Python and TypeScript.
Persona
- olmo-eval
- -
- futureagi-sdk
- -
Runtime
- olmo-eval
- -
- futureagi-sdk
- -
License
- olmo-eval
- Apache-2.0
- futureagi-sdk
- Apache-2.0
Last pushed
- olmo-eval
- Sep 6, 2026
- futureagi-sdk
- Jul 8, 2026
Categories
- olmo-eval
- Evaluation & Observability
- futureagi-sdk
- Evaluation & Observability
Trust and health
Maintenance
- olmo-eval
- Very active (96%)
- futureagi-sdk
- Steady (60%)
Days since push
- olmo-eval
- 0d
- futureagi-sdk
- 71d
Open issues (now)
- olmo-eval
- 56
- futureagi-sdk
- 4
Stars delta
- olmo-eval
- +4 (30d)
- futureagi-sdk
- +3 (30d)
Open issues delta
- olmo-eval
- +18 (30d)
- futureagi-sdk
- +1 (30d)
Full report
- olmo-eval
- Trust report
- futureagi-sdk
- Trust report
Choose olmo-eval if…
- Tags unique to olmo-eval: datasets, llm, python, tasks.
- olmo-eval ships Docker support for self-hosted deployment.
- When you need a flexible evaluation setup that works with a variety of LLMs and datasets.
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.
Choose futureagi-sdk if…
- Pricing: The SDK is available under the Apache-2.0 license, which is free to use, but additional services or features may be available on a paid basis..
- Requirements: Min 2 GB RAM; Ensure your development environment supports Python or TypeScript for seamless integration..
- Tags unique to futureagi-sdk: ai, ai-agents, annotations, dataset.
- When you need automated evaluations with sub-100ms guardrails, ensuring fast and efficient performance without the need for human intervention.
When NOT to use futureagi-sdk
- If your project strictly requires a single programming language and does not benefit from the dual support of Python and TypeScript.
- When your evaluation process requires human oversight at every step, as futureagi-sdk is designed for automated evaluations without human-in-the-loop.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (allenai/olmo-eval) · observed Sep 20, 2026
- GitHub forks (allenai/olmo-eval) · observed Sep 20, 2026
- Last push (allenai/olmo-eval) · observed Sep 6, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (future-agi/futureagi-sdk) · observed Sep 20, 2026
- GitHub forks (future-agi/futureagi-sdk) · observed Sep 20, 2026
- Last push (future-agi/futureagi-sdk) · observed Jul 8, 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: olmo-eval 69 · futureagi-sdk 51 (synced Sep 20, 2026).
Common questions
- What is the difference between olmo-eval and futureagi-sdk?
- olmo-eval: Olmo Evaluation Framework for LLM Tasks. futureagi-sdk: Production-grade AI evaluation, prompt management & observability SDK. See the comparison table for live GitHub stats and shared categories.
- When should I choose olmo-eval over futureagi-sdk?
- Choose olmo-eval over futureagi-sdk when Tags unique to olmo-eval: datasets, llm, python, tasks; olmo-eval ships Docker support for self-hosted deployment; When you need a flexible evaluation setup that works with a variety of LLMs and datasets.
- When should I choose futureagi-sdk over olmo-eval?
- Choose futureagi-sdk over olmo-eval when Pricing: The SDK is available under the Apache-2.0 license, which is free to use, but additional services or features may be available on a paid basis.; Requirements: Min 2 GB RAM; Ensure your development environment supports Python or TypeScript for seamless integration.; Tags unique to futureagi-sdk: ai, ai-agents, annotations, dataset; When you need automated evaluations with sub-100ms guardrails, ensuring fast and efficient performance without the need for human intervention.
- 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 futureagi-sdk?
- If your project strictly requires a single programming language and does not benefit from the dual support of Python and TypeScript. When your evaluation process requires human oversight at every step, as futureagi-sdk is designed for automated evaluations without human-in-the-loop.
- Is olmo-eval or futureagi-sdk more popular on GitHub?
- olmo-eval has more GitHub stars (69 vs 51). Stars measure visibility, not whether either tool fits your constraints.
- Are olmo-eval and futureagi-sdk open source?
- Yes - both are open-source projects on GitHub (olmo-eval: Apache-2.0, futureagi-sdk: Apache-2.0).
- Where can I find alternatives to olmo-eval or futureagi-sdk?
- GraphCanon lists graph-backed alternatives at olmo-eval alternatives and futureagi-sdk alternatives (olmo-eval markdown twin, futureagi-sdk 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 futureagi-sdk?
- olmo-eval: Very active. futureagi-sdk: Steady. 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 futureagi-sdk?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: olmo-eval trust report; futureagi-sdk trust report.