Comparison
lightly vs pytorch-lightning
Verdict
Pick lightly when license: lightly is MIT, pytorch-lightning is Apache-2.0; pick pytorch-lightning when license: pytorch-lightning is Apache-2.0, lightly is MIT.
Markdown twin · lightly alternatives · pytorch-lightning alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | lightly | pytorch-lightning |
|---|---|---|
| Maintenance | Very active (1d 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
- lightly
- A python library for self-supervised learning on images.
- pytorch-lightning
- Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Stars
- lightly
- 3.8k
- pytorch-lightning
- 31k
Forks
- lightly
- 339
- pytorch-lightning
- 3.8k
Open issues
- lightly
- 92
- pytorch-lightning
- 1.0k
Language
- lightly
- Python
- pytorch-lightning
- Python
Adopt for
- lightly
- -
- pytorch-lightning
- -
Persona
- lightly
- -
- pytorch-lightning
- -
Runtime
- lightly
- -
- pytorch-lightning
- -
License
- lightly
- MIT
- pytorch-lightning
- Apache-2.0
Last pushed
- lightly
- Jul 9, 2026
- pytorch-lightning
- Jul 10, 2026
Categories
- lightly
- Vector Databases, Model Training, Computer Vision
- pytorch-lightning
- Model Training, Computer Vision
Trust and health
Open issues (now)
- lightly
- 92
- pytorch-lightning
- 1.0k
Security scan
- lightly
- No lockfile
- pytorch-lightning
- No criticals
Full report
- lightly
- Trust report
- pytorch-lightning
- Trust report
Choose lightly if…
- License: lightly is MIT, pytorch-lightning is Apache-2.0.
- Tags unique to lightly: embeddings, hacktoberfest, contributions-welcome, contrastive-learning.
- Also covers Vector Databases.
When NOT to use lightly
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
Choose pytorch-lightning if…
- License: pytorch-lightning is Apache-2.0, lightly is MIT.
- Tags unique to pytorch-lightning: data-science, ai, artificial-intelligence, python.
- More GitHub stars (31k vs 3.8k) - 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 (lightly-ai/lightly) · observed Jul 11, 2026
- GitHub forks (lightly-ai/lightly) · observed Jul 11, 2026
- Last push (lightly-ai/lightly) · observed Jul 9, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Lightning-AI/pytorch-lightning) · observed Jul 11, 2026
- GitHub forks (Lightning-AI/pytorch-lightning) · observed Jul 11, 2026
- Last push (Lightning-AI/pytorch-lightning) · observed Jul 10, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: lightly 3.8k · pytorch-lightning 31k (synced Jul 11, 2026).
Common questions
- What is the difference between lightly and pytorch-lightning?
- lightly: A python library for self-supervised learning on images.. 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 lightly over pytorch-lightning?
- Choose lightly over pytorch-lightning when License: lightly is MIT, pytorch-lightning is Apache-2.0; Tags unique to lightly: embeddings, hacktoberfest, contributions-welcome, contrastive-learning; Also covers Vector Databases.
- When should I choose pytorch-lightning over lightly?
- Choose pytorch-lightning over lightly when License: pytorch-lightning is Apache-2.0, lightly is MIT; Tags unique to pytorch-lightning: data-science, ai, artificial-intelligence, python; More GitHub stars (31k vs 3.8k) - visibility, not fit.
- When should I avoid lightly?
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- 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 lightly or pytorch-lightning more popular on GitHub?
- pytorch-lightning has more GitHub stars (31,233 vs 3,777). Stars measure visibility, not whether either tool fits your constraints.
- Are lightly and pytorch-lightning open source?
- Yes - both are open-source projects on GitHub (lightly: MIT, pytorch-lightning: Apache-2.0).
- Where can I find alternatives to lightly or pytorch-lightning?
- GraphCanon lists graph-backed alternatives at lightly alternatives and pytorch-lightning alternatives (lightly 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, lightly or pytorch-lightning?
- lightly: Very active. 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 lightly and pytorch-lightning?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: lightly trust report; pytorch-lightning trust report.