Daft vs lmms-eval

Common questions

What is the difference between Daft and lmms-eval?

Daft: High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale. lmms-eval: One-for-All Multimodal Evaluation Toolkit Across Text, Image, Video, and Audio Tasks. See the comparison table for live GitHub stats and shared categories.

When should I choose Daft over lmms-eval?

Choose Daft over lmms-eval when Daft is primarily Rust; lmms-eval is Python; License: Daft is Apache-2.0, lmms-eval is Other; Tags unique to Daft: big-data, ai-engineering, distributed, arrow; Also covers Vector Databases.

When should I choose lmms-eval over Daft?

Choose lmms-eval over Daft when lmms-eval is primarily Python; Daft is Rust; License: lmms-eval is Other, Daft is Apache-2.0; Requirements: Min 4 GB RAM; Requires Python 3.12 or higher for installation.; Java 8 is required when testing datasets like COCO, RefCOCO, and NoCaps due to dependency on pycocoeval API.; Tags unique to lmms-eval: evaluation, benchmark, large-language-models, multimodal-evaluation; Also covers LLM Frameworks; When you need to evaluate the performance of multimodal large language models across diverse benchmarks including text, image, video, and audio.

When should I avoid Daft?

Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.

When should I avoid lmms-eval?

If your project does not involve multimodal large language models or you are only interested in unimodal datasets. When you need a simpler toolkit that focuses solely on text-based evaluations, as lmms-eval's extensive capabilities might be unnecessary and introduce complexity.

Is Daft or lmms-eval more popular on GitHub?

Daft has more GitHub stars (5,620 vs 4,298). Stars measure visibility, not whether either tool fits your constraints.

Are Daft and lmms-eval open source?

Yes - both are open-source projects on GitHub (Daft: Apache-2.0, lmms-eval: Other).

Where can I find alternatives to Daft or lmms-eval?

GraphCanon lists graph-backed alternatives at Daft alternatives and lmms-eval alternatives (Daft markdown twin, lmms-eval 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, Daft or lmms-eval?

Daft: Very active. lmms-eval: 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 Daft and lmms-eval?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Daft trust report; lmms-eval trust report.