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 future AGI SDK is an innovative toolkit designed for production-grade AI evaluation, prompt management, and observability. It supports Python and TypeScript languages and is licensed under Apache-2.0.
Markdown twin · lm-evaluation-harness alternatives · futureagi-sdk alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | lm-evaluation-harness | futureagi-sdk |
|---|---|---|
| Maintenance | Active (24d since push) As of 2w · github_public_v1 | Active (25d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 3w · 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
- 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
- 48
Forks
- lm-evaluation-harness
- 3.5k
- futureagi-sdk
- 5
Open issues
- lm-evaluation-harness
- 938
- futureagi-sdk
- 3
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
- Future AGI SDK is an innovative toolkit designed for production-grade AI evaluation, prompt management, and observability. It supports Python and TypeScript languages and is licensed under Apache-2.0.
Persona
- lm-evaluation-harness
- -
- futureagi-sdk
- -
Runtime
- lm-evaluation-harness
- -
- futureagi-sdk
- -
License
- lm-evaluation-harness
- MIT
- futureagi-sdk
- The Future AGI SDK uses the Apache License, Version 2.0 (Apache-2.0). It allows users to freely use, modify, and distribute the software while maintaining copyright notices.
Last pushed
- lm-evaluation-harness
- Jul 13, 2026
- futureagi-sdk
- Jul 8, 2026
Categories
- lm-evaluation-harness
- Evaluation & Observability
- futureagi-sdk
- Evaluation & Observability
Trust and health
Days since push
- lm-evaluation-harness
- 24d
- futureagi-sdk
- 25d
Open issues (now)
- lm-evaluation-harness
- 938
- futureagi-sdk
- 3
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.
- Requirements: Supports Python and TypeScript languages; Automated evaluations with sub-100ms guardrails.
- Tags unique to futureagi-sdk: ai-agents, annotations, dataset, development.
- Future AGI SDK is an innovative toolkit designed for production-grade AI evaluation, prompt management, and observability. It supports Python and TypeScript languages and is licensed under Apache-2.0.
When NOT to use futureagi-sdk
- Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
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 Aug 7, 2026
- GitHub forks (EleutherAI/lm-evaluation-harness) · observed Aug 7, 2026
- Last push (EleutherAI/lm-evaluation-harness) · observed Jul 13, 2026
- License file (MIT) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (future-agi/futureagi-sdk) · observed Aug 2, 2026
- GitHub forks (future-agi/futureagi-sdk) · observed Aug 2, 2026
- Last push (future-agi/futureagi-sdk) · observed Jul 8, 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: lm-evaluation-harness 14k · futureagi-sdk 48 (synced Aug 7, 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; Requirements: Supports Python and TypeScript languages; Automated evaluations with sub-100ms guardrails; Tags unique to futureagi-sdk: ai-agents, annotations, dataset, development; Future AGI SDK is an innovative toolkit designed for production-grade AI evaluation, prompt management, and observability. It supports Python and TypeScript languages and is licensed under Apache-2.0.
- 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?
- Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
- Is lm-evaluation-harness or futureagi-sdk more popular on GitHub?
- lm-evaluation-harness has more GitHub stars (13,560 vs 48). 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: Active. futureagi-sdk: 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 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.