---
title: "pytorch vs pytorch-meta"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/pytorch-pytorch-vs-tristandeleu-pytorch-meta"
tools: ["pytorch-pytorch", "tristandeleu-pytorch-meta"]
---

# pytorch vs pytorch-meta

*GraphCanon updated Jul 11, 2026*

## Verdict

Pick pytorch when license: pytorch is Other, pytorch-meta is MIT; pick pytorch-meta when license: pytorch-meta is MIT, pytorch is Other.

[pytorch](https://pytorch.org) reports 102k GitHub stars, 28k forks, and 18k open issues, last pushed Jul 11, 2026. [pytorch-meta](https://tristandeleu.github.io/pytorch-meta/) has 2.1k stars, 264 forks, and 61 open issues, last pushed Jul 17, 2023. Figures are from public GitHub metadata via [pytorch's repository](https://github.com/pytorch/pytorch) and [pytorch-meta's repository](https://github.com/tristandeleu/pytorch-meta).

| | [pytorch](/tools/pytorch-pytorch.md) | [pytorch-meta](/tools/tristandeleu-pytorch-meta.md) |
| --- | --- | --- |
| Tagline | Tensors and Dynamic neural networks in Python with strong GPU acceleration | A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch |
| Stars | 101,752 | 2,060 |
| Forks | 28,478 | 264 |
| Open issues | 18,282 | 61 |
| Language | Python | Python |
| Adopt for | - | - |
| Persona | - | - |
| Runtime | - | - |
| License | Other | MIT |
| Categories | Computer Vision, Data & Retrieval, Model Training | Computer Vision, Data & Retrieval, Model Training |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [pytorch](/tools/pytorch-pytorch.md) | [pytorch-meta](/tools/tristandeleu-pytorch-meta.md) |
| --- | --- | --- |
| Maintenance | Very active (96%) | Dormant (18%) |
| Days since push | 0d | 1090d |
| Open issues (now) | 18k | 61 |
| Owner type | Organization | User |
| Security scan | No criticals | No lockfile |
| Full report | [trust report](/tools/pytorch-pytorch/trust.md) | [trust report](/tools/tristandeleu-pytorch-meta/trust.md) |

## Shared compatibility

- **Python**: [pytorch](/tools/pytorch-pytorch.md) - Python runtime; [pytorch-meta](/tools/tristandeleu-pytorch-meta.md) - Python runtime

## Choose when

### Choose pytorch if…

- License: pytorch is Other, pytorch-meta is MIT.
- Tags unique to pytorch: autograd, deep-learning, gpu, machine-learning.
- pytorch ships Docker support for self-hosted deployment.

### Choose pytorch-meta if…

- License: pytorch-meta is MIT, pytorch is Other.
- Tags unique to pytorch-meta: few-shot-learning, meta-learning, pytorch.
- Leaner open-issue backlog (61).

## When NOT to use pytorch

- Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.

## When NOT to use pytorch-meta

- Last GitHub push was 1090 days ago (dormant maintenance, Jul 17, 2023). Validate activity before betting a new project on pytorch-meta.
- Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
- 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 and pytorch-meta?

pytorch: Tensors and Dynamic neural networks in Python with strong GPU acceleration. pytorch-meta: A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch. See the comparison table for live GitHub stats and shared categories.

### When should I choose pytorch over pytorch-meta?

Choose pytorch over pytorch-meta when License: pytorch is Other, pytorch-meta is MIT; Tags unique to pytorch: autograd, deep-learning, gpu, machine-learning; pytorch ships Docker support for self-hosted deployment.

### When should I choose pytorch-meta over pytorch?

Choose pytorch-meta over pytorch when License: pytorch-meta is MIT, pytorch is Other; Tags unique to pytorch-meta: few-shot-learning, meta-learning, pytorch; Leaner open-issue backlog (61).

### When should I avoid pytorch?

Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.

### When should I avoid pytorch-meta?

Last GitHub push was 1090 days ago (dormant maintenance, Jul 17, 2023). Validate activity before betting a new project on pytorch-meta. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.

### Is pytorch or pytorch-meta more popular on GitHub?

pytorch has more GitHub stars (101,752 vs 2,060). Stars measure visibility, not whether either tool fits your constraints.

### Are pytorch and pytorch-meta open source?

Yes - both are open-source projects on GitHub (pytorch: Other, pytorch-meta: MIT).

### Where can I find alternatives to pytorch or pytorch-meta?

GraphCanon lists graph-backed alternatives at [pytorch alternatives](/tools/pytorch-pytorch/alternatives) and [pytorch-meta alternatives](/tools/tristandeleu-pytorch-meta/alternatives) ([pytorch markdown twin](/tools/pytorch-pytorch/alternatives.md), [pytorch-meta markdown twin](/tools/tristandeleu-pytorch-meta/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/pytorch-pytorch-vs-tristandeleu-pytorch-meta.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, pytorch or pytorch-meta?

pytorch: Very active. pytorch-meta: 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 pytorch and pytorch-meta?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [pytorch trust report](/tools/pytorch-pytorch/trust); [pytorch-meta trust report](/tools/tristandeleu-pytorch-meta/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=pytorch-pytorch`](/api/graphcanon/graph?tool=pytorch-pytorch)
- 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/_
