Home/Compare/icevision vs pytorch-lightning

Comparison

icevision vs pytorch-lightning

Verdict

Pick icevision when tags unique to icevision: annotation-parsers, coco-dataset, coco-parser, computer-vision; pick pytorch-lightning when tags unique to pytorch-lightning: artificial-intelligence, data-science, machine-learning, python.

Markdown twin · icevision alternatives · pytorch-lightning alternatives

GraphCanon updated today

icevision logo

icevision

airctic/icevision

867pushed Nov 26, 2024
vs
pytorch-lightning logo

pytorch-lightning

Lightning-AI/pytorch-lightning

31kpushed Jul 10, 2026

Trust & integrity

Signalicevisionpytorch-lightning
Maintenance
Dormant (591d since push)
As of today · github_public_v1
Very active (1d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
No criticals
As of today · osv@v1

Tagline

icevision
An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come
pytorch-lightning
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

Stars

icevision
867
pytorch-lightning
31k

Forks

icevision
148
pytorch-lightning
3.8k

Open issues

icevision
83
pytorch-lightning
1.0k

Language

icevision
Python
pytorch-lightning
Python

Adopt for

icevision
-
pytorch-lightning
-

Persona

icevision
-
pytorch-lightning
-

Runtime

icevision
-
pytorch-lightning
-

License

icevision
Apache-2.0
pytorch-lightning
Apache-2.0

Last pushed

icevision
Nov 26, 2024
pytorch-lightning
Jul 10, 2026

Categories

icevision
Computer Vision, Model Training, Vector Databases
pytorch-lightning
Computer Vision, Model Training

Trust and health

Maintenance

icevision
Dormant (18%)
pytorch-lightning
Very active (96%)

Days since push

icevision
591d
pytorch-lightning
1d

Open issues (now)

icevision
83
pytorch-lightning
1.0k

Security scan

icevision
No lockfile
pytorch-lightning
No criticals

Full report

icevision
Trust report
pytorch-lightning
Trust report

Shared compatibility

  • Python · icevision: Python runtime · pytorch-lightning: Python runtime

Choose icevision if…

  • Tags unique to icevision: annotation-parsers, coco-dataset, coco-parser, computer-vision.
  • Also covers Vector Databases.
  • Leaner open-issue backlog (83).

When NOT to use icevision

  • Last GitHub push was 592 days ago (dormant maintenance, Nov 26, 2024). Validate activity before betting a new project on icevision.
  • Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
  • Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.

Choose pytorch-lightning if…

  • Tags unique to pytorch-lightning: artificial-intelligence, data-science, machine-learning, python.
  • More GitHub stars (31k vs 867) - visibility, not fit.

When NOT to use pytorch-lightning

  • Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.

Explore

Sources

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

GitHub stars on cards: icevision 867 · pytorch-lightning 31k (synced Jul 11, 2026).

Common questions

What is the difference between icevision and pytorch-lightning?
icevision: An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come. pytorch-lightning: Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.. See the comparison table for live GitHub stats and shared categories.
When should I choose icevision over pytorch-lightning?
Choose icevision over pytorch-lightning when Tags unique to icevision: annotation-parsers, coco-dataset, coco-parser, computer-vision; Also covers Vector Databases; Leaner open-issue backlog (83).
When should I choose pytorch-lightning over icevision?
Choose pytorch-lightning over icevision when Tags unique to pytorch-lightning: artificial-intelligence, data-science, machine-learning, python; More GitHub stars (31k vs 867) - visibility, not fit.
When should I avoid icevision?
Last GitHub push was 592 days ago (dormant maintenance, Nov 26, 2024). Validate activity before betting a new project on icevision. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. 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 pytorch-lightning?
Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
Is icevision or pytorch-lightning more popular on GitHub?
pytorch-lightning has more GitHub stars (31,233 vs 867). Stars measure visibility, not whether either tool fits your constraints.
Are icevision and pytorch-lightning open source?
Yes - both are open-source projects on GitHub (icevision: Apache-2.0, pytorch-lightning: Apache-2.0).
Where can I find alternatives to icevision or pytorch-lightning?
GraphCanon lists graph-backed alternatives at icevision alternatives and pytorch-lightning alternatives (icevision markdown twin, pytorch-lightning 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, icevision or pytorch-lightning?
icevision: Dormant. pytorch-lightning: 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 icevision and pytorch-lightning?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: icevision trust report; pytorch-lightning trust report.