Home/Compare/lmms-eval vs viewer

Comparison

lmms-eval vs viewer

Verdict

Pick lmms-eval if lmms-eval is a one-stop solution for benchmarking multimodal large language models across various tasks including text, image, video, and audio; pick viewer if zetane viewer aids in visualizing ML models and their tensors in an interactive 3D environment, aiding comprehension and debugging.

Markdown twin · lmms-eval alternatives · viewer alternatives

GraphCanon updated 6d

lmms-eval logo

lmms-eval

EvolvingLMMs-Lab/lmms-eval

4.4kpushed Aug 6, 2026
vs
viewer logo

viewer

zetane/viewer

1.8kpushed Aug 8, 2022

Trust & integrity

Signallmms-evalviewer
Maintenance
Active (11d since push)
As of 6d · github_public_v1
Dormant (1456d since push)
As of 2w · github_public_v1
Provenance
Not a fork · Organization account
As of 6d · github_public_v1
Not a fork · Organization account
As of 2w · 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

lmms-eval
One-for-All Multimodal Evaluation Toolkit Across Text, Image, Video, and Audio Tasks
viewer
ML models and internal tensors 3D visualizer

Stars

lmms-eval
4.4k
viewer
1.8k

Forks

lmms-eval
639
viewer
168

Open issues

lmms-eval
49
viewer
17

Language

lmms-eval
Python
viewer
Python

Adopt for

lmms-eval
lmms-eval is a one-stop solution for benchmarking multimodal large language models across various tasks including text, image, video, and audio.
viewer
Zetane viewer aids in visualizing ML models and their tensors in an interactive 3D environment, aiding comprehension and debugging.

Persona

lmms-eval
-
viewer
-

Runtime

lmms-eval
-
viewer
-

License

lmms-eval
Other
viewer
(unknown)

Last pushed

lmms-eval
Aug 6, 2026
viewer
Aug 8, 2022

Categories

lmms-eval
Evaluation & Observability
viewer
Developer Tools, Evaluation & Observability

Trust and health

Maintenance

lmms-eval
Active (82%)
viewer
Dormant (18%)

Days since push

lmms-eval
11d
viewer
1456d

Open issues (now)

lmms-eval
49
viewer
17

Stars delta

lmms-eval
+52 (30d)
viewer
Unknown

Open issues delta

lmms-eval
+9 (30d)
viewer
Unknown

Full report

lmms-eval
Trust report

Choose lmms-eval if…

  • Tags unique to lmms-eval: agi, audio-evaluation, benchmark, evaluation.
  • You need to evaluate LLaVA series models on different datasets with precise control over reproducibility details like torch/cuda versions.
  • More GitHub stars (4.4k vs 1.8k) - visibility, not fit.

When NOT to use lmms-eval

  • Looking for a tool that supports less than Python 3.12, as uv setup mandates this version.
  • Requiring support beyond text, image, video, and audio modalities which lmms-eval specifically covers.
  • Your project doesn't benefit from extensive results tracking in Google Sheets or relies solely on alternative reproducibility mechanisms without external dependencies.

Choose viewer if…

  • Tags unique to viewer: 3d, exploration, files, free software.
  • Also covers Developer Tools.
  • You require a detailed, 3D visualization of model structures and tensor data.

When NOT to use viewer

  • Your workflow necessitates non-interactive visualization methods.
  • The viewer's license ambiguity could pose risks to proprietary projects or sensitive data handling.

Explore

Sources

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

GitHub stars on cards: lmms-eval 4.4k · viewer 1.8k (synced Aug 17, 2026).

Common questions

What is the difference between lmms-eval and viewer?
lmms-eval: One-for-All Multimodal Evaluation Toolkit Across Text, Image, Video, and Audio Tasks. viewer: ML models and internal tensors 3D visualizer. See the comparison table for live GitHub stats and shared categories.
When should I choose lmms-eval over viewer?
Choose lmms-eval over viewer when Tags unique to lmms-eval: agi, audio-evaluation, benchmark, evaluation; You need to evaluate LLaVA series models on different datasets with precise control over reproducibility details like torch/cuda versions; More GitHub stars (4.4k vs 1.8k) - visibility, not fit.
When should I choose viewer over lmms-eval?
Choose viewer over lmms-eval when Tags unique to viewer: 3d, exploration, files, free software; Also covers Developer Tools; You require a detailed, 3D visualization of model structures and tensor data.
When should I avoid lmms-eval?
Looking for a tool that supports less than Python 3.12, as uv setup mandates this version. Requiring support beyond text, image, video, and audio modalities which lmms-eval specifically covers. Your project doesn't benefit from extensive results tracking in Google Sheets or relies solely on alternative reproducibility mechanisms without external dependencies.
When should I avoid viewer?
Your workflow necessitates non-interactive visualization methods. The viewer's license ambiguity could pose risks to proprietary projects or sensitive data handling.
Is lmms-eval or viewer more popular on GitHub?
lmms-eval has more GitHub stars (4,368 vs 1,835). Stars measure visibility, not whether either tool fits your constraints.
Are lmms-eval and viewer open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to lmms-eval or viewer?
GraphCanon lists graph-backed alternatives at lmms-eval alternatives and viewer alternatives (lmms-eval markdown twin, viewer 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, lmms-eval or viewer?
lmms-eval: Active. viewer: Dormant. 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 lmms-eval and viewer?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: lmms-eval trust report; viewer trust report.

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