--- title: "pytorch-lightning vs maestro" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/lightning-ai-pytorch-lightning-vs-roboflow-maestro" tools: ["lightning-ai-pytorch-lightning", "roboflow-maestro"] --- # pytorch-lightning vs maestro *GraphCanon updated Jul 11, 2026* ## Verdict Pick pytorch-lightning when tags unique to pytorch-lightning: ai, artificial-intelligence, data-science, deep-learning; pick maestro when tags unique to maestro: captioning, fine-tuning, florence-2, multimodal. [pytorch-lightning](https://lightning.ai/pytorch-lightning/?utm_source=ptl_readme&utm_medium=referral&utm_campaign=ptl_readme) reports 31k GitHub stars, 3.8k forks, and 1.0k open issues, last pushed Jul 10, 2026. [maestro](https://maestro.roboflow.com) has 2.7k stars, 222 forks, and 28 open issues, last pushed Jun 29, 2026. Figures are from public GitHub metadata via [pytorch-lightning's repository](https://github.com/Lightning-AI/pytorch-lightning) and [maestro's repository](https://github.com/roboflow/maestro). | | [pytorch-lightning](/tools/lightning-ai-pytorch-lightning.md) | [maestro](/tools/roboflow-maestro.md) | | --- | --- | --- | | Tagline | Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes. | streamline the fine-tuning process for multimodal models: PaliGemma 2, Florence-2, and Qwen2.5-VL | | Stars | 31,233 | 2,682 | | Forks | 3,756 | 222 | | Open issues | 1,049 | 28 | | Language | Python | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | Computer Vision, Model Training | Computer Vision, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [pytorch-lightning](/tools/lightning-ai-pytorch-lightning.md) | [maestro](/tools/roboflow-maestro.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 1d | 11d | | Open issues (now) | 1.0k | 28 | | Security scan | No criticals | No lockfile | | Full report | [trust report](/tools/lightning-ai-pytorch-lightning/trust.md) | [trust report](/tools/roboflow-maestro/trust.md) | ## Choose when ### Choose pytorch-lightning if… - Tags unique to pytorch-lightning: ai, artificial-intelligence, data-science, deep-learning. - More GitHub stars (31k vs 2.7k) - visibility, not fit. ### Choose maestro if… - Tags unique to maestro: captioning, fine-tuning, florence-2, multimodal. - Leaner open-issue backlog (28). ## When NOT to use pytorch-lightning - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ## When NOT to use maestro - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ## Common questions ### What is the difference between pytorch-lightning and maestro? pytorch-lightning: Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.. maestro: streamline the fine-tuning process for multimodal models: PaliGemma 2, Florence-2, and Qwen2.5-VL. See the comparison table for live GitHub stats and shared categories. ### When should I choose pytorch-lightning over maestro? Choose pytorch-lightning over maestro when Tags unique to pytorch-lightning: ai, artificial-intelligence, data-science, deep-learning; More GitHub stars (31k vs 2.7k) - visibility, not fit. ### When should I choose maestro over pytorch-lightning? Choose maestro over pytorch-lightning when Tags unique to maestro: captioning, fine-tuning, florence-2, multimodal; Leaner open-issue backlog (28). ### When should I avoid pytorch-lightning? Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ### When should I avoid maestro? Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ### Is pytorch-lightning or maestro more popular on GitHub? pytorch-lightning has more GitHub stars (31,233 vs 2,682). Stars measure visibility, not whether either tool fits your constraints. ### Are pytorch-lightning and maestro open source? Yes - both are open-source projects on GitHub (pytorch-lightning: Apache-2.0, maestro: Apache-2.0). ### Where can I find alternatives to pytorch-lightning or maestro? GraphCanon lists graph-backed alternatives at [pytorch-lightning alternatives](/tools/lightning-ai-pytorch-lightning/alternatives) and [maestro alternatives](/tools/roboflow-maestro/alternatives) ([pytorch-lightning markdown twin](/tools/lightning-ai-pytorch-lightning/alternatives.md), [maestro markdown twin](/tools/roboflow-maestro/alternatives.md)), 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](/compare/lightning-ai-pytorch-lightning-vs-roboflow-maestro.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, pytorch-lightning or maestro? pytorch-lightning: Very active. maestro: 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 pytorch-lightning and maestro? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [pytorch-lightning trust report](/tools/lightning-ai-pytorch-lightning/trust); [maestro trust report](/tools/roboflow-maestro/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=lightning-ai-pytorch-lightning`](/api/graphcanon/graph?tool=lightning-ai-pytorch-lightning) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_