Comparison
lm-evaluation-harness vs futureagi-sdk
Verdict
Pick lm-evaluation-harness if lm-evaluation-harness is a Python framework for evaluating language models in various parallelism modes using different checkpoint formats, compatible with the Megatron-LM backend; 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 · lm-evaluation-harness alternatives · futureagi-sdk alternatives
GraphCanon updated Sep 20, 2026
11views this month
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Trust & integrity
| Signal | lm-evaluation-harness | futureagi-sdk |
|---|---|---|
| Maintenance | Very active (5d 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
- lm-evaluation-harness
- A framework for few-shot evaluation of language models.
- futureagi-sdk
- Production-grade AI evaluation, prompt management & observability SDK
Stars
- lm-evaluation-harness
- 14k
- futureagi-sdk
- 51
Forks
- lm-evaluation-harness
- 3.5k
- futureagi-sdk
- 8
Open issues
- lm-evaluation-harness
- 945
- futureagi-sdk
- 4
Language
- lm-evaluation-harness
- Python
- futureagi-sdk
- Python
Adopt for
- lm-evaluation-harness
- lm-evaluation-harness is a Python framework for evaluating language models in various parallelism modes using different checkpoint formats, compatible with the Megatron-LM backend.
- 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
- lm-evaluation-harness
- -
- futureagi-sdk
- -
Runtime
- lm-evaluation-harness
- -
- futureagi-sdk
- -
License
- lm-evaluation-harness
- MIT
- futureagi-sdk
- Apache-2.0
Last pushed
- lm-evaluation-harness
- Sep 1, 2026
- futureagi-sdk
- Jul 8, 2026
Categories
- lm-evaluation-harness
- Evaluation & Observability
- futureagi-sdk
- Evaluation & Observability
Trust and health
Maintenance
- lm-evaluation-harness
- Very active (96%)
- futureagi-sdk
- Steady (60%)
Days since push
- lm-evaluation-harness
- 5d
- futureagi-sdk
- 71d
Open issues (now)
- lm-evaluation-harness
- 945
- futureagi-sdk
- 4
Stars delta
- lm-evaluation-harness
- +346 (30d)
- futureagi-sdk
- +3 (30d)
Open issues delta
- lm-evaluation-harness
- +7 (30d)
- futureagi-sdk
- +1 (30d)
Full report
- lm-evaluation-harness
- Trust report
- futureagi-sdk
- Trust report
Choose lm-evaluation-harness if…
- License: lm-evaluation-harness is MIT, futureagi-sdk is Apache-2.0.
- Tags unique to lm-evaluation-harness: data-parallelism, evaluation-framework, expert-parallelism, language-model.
- - When you need to evaluate large language models across multiple GPUs in data or tensor parallel configurations.
When NOT to use lm-evaluation-harness
- - If your evaluation setup requires pipeline parallelism not currently supported by this framework.
Choose futureagi-sdk if…
- License: futureagi-sdk is Apache-2.0, lm-evaluation-harness is MIT.
- 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 (EleutherAI/lm-evaluation-harness) · observed Sep 20, 2026
- GitHub forks (EleutherAI/lm-evaluation-harness) · observed Sep 20, 2026
- Last push (EleutherAI/lm-evaluation-harness) · observed Sep 1, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 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: lm-evaluation-harness 14k · futureagi-sdk 51 (synced Sep 20, 2026).
Common questions
- What is the difference between lm-evaluation-harness and futureagi-sdk?
- lm-evaluation-harness: A framework for few-shot evaluation of language models.. 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 lm-evaluation-harness over futureagi-sdk?
- Choose lm-evaluation-harness over futureagi-sdk when License: lm-evaluation-harness is MIT, futureagi-sdk is Apache-2.0; Tags unique to lm-evaluation-harness: data-parallelism, evaluation-framework, expert-parallelism, language-model; - When you need to evaluate large language models across multiple GPUs in data or tensor parallel configurations.
- When should I choose futureagi-sdk over lm-evaluation-harness?
- Choose futureagi-sdk over lm-evaluation-harness when License: futureagi-sdk is Apache-2.0, lm-evaluation-harness is MIT; 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 lm-evaluation-harness?
- - If your evaluation setup requires pipeline parallelism not currently supported by this framework.
- 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 lm-evaluation-harness or futureagi-sdk more popular on GitHub?
- lm-evaluation-harness has more GitHub stars (13,906 vs 51). Stars measure visibility, not whether either tool fits your constraints.
- Are lm-evaluation-harness and futureagi-sdk open source?
- Yes - both are open-source projects on GitHub (lm-evaluation-harness: MIT, futureagi-sdk: Apache-2.0).
- Where can I find alternatives to lm-evaluation-harness or futureagi-sdk?
- GraphCanon lists graph-backed alternatives at lm-evaluation-harness alternatives and futureagi-sdk alternatives (lm-evaluation-harness 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, lm-evaluation-harness or futureagi-sdk?
- lm-evaluation-harness: 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 lm-evaluation-harness and futureagi-sdk?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: lm-evaluation-harness trust report; futureagi-sdk trust report.