---
title: "datasets vs GLM-130B"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/huggingface-datasets-vs-zai-org-glm-130b"
tools: ["huggingface-datasets", "zai-org-glm-130b"]
---

# datasets vs GLM-130B

*GraphCanon updated Jul 11, 2026*

## Verdict

Pick datasets when tags unique to datasets: ai, artificial-intelligence, computer-vision, dataset-hub; pick GLM-130B when tags unique to GLM-130B: python.

[datasets](https://huggingface.co/docs/datasets) reports 22k GitHub stars, 3.3k forks, and 1.2k open issues, last pushed Jul 9, 2026. [GLM-130B](https://github.com/zai-org/GLM-130B) has 7.7k stars, 601 forks, and 124 open issues, last pushed Jul 25, 2023. Figures are from public GitHub metadata via [datasets's repository](https://github.com/huggingface/datasets) and [GLM-130B's repository](https://github.com/zai-org/GLM-130B).

| | [datasets](/tools/huggingface-datasets.md) | [GLM-130B](/tools/zai-org-glm-130b.md) |
| --- | --- | --- |
| Tagline | 🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools | GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023) |
| Stars | 21,706 | 7,656 |
| Forks | 3,291 | 601 |
| Open issues | 1,167 | 124 |
| Language | Python | Python |
| Adopt for | - | - |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | Apache-2.0 |
| Categories | LLM Frameworks, Model Training, Speech & Audio | Model Training |

## Trust and health

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

| | [datasets](/tools/huggingface-datasets.md) | [GLM-130B](/tools/zai-org-glm-130b.md) |
| --- | --- | --- |
| Maintenance | Very active (96%) | Dormant (18%) |
| Days since push | 1d | 1082d |
| Open issues (now) | 1.2k | 124 |
| Security scan | No lockfile | No criticals |
| Full report | [trust report](/tools/huggingface-datasets/trust.md) | [trust report](/tools/zai-org-glm-130b/trust.md) |

## Choose when

### Choose datasets if…

- Tags unique to datasets: ai, artificial-intelligence, computer-vision, dataset-hub.
- Also covers LLM Frameworks, Speech & Audio.
- More GitHub stars (22k vs 7.7k) - visibility, not fit.

### Choose GLM-130B if…

- Tags unique to GLM-130B: python.
- Leaner open-issue backlog (124).

## When NOT to use datasets

- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.

## When NOT to use GLM-130B

- Last GitHub push was 1083 days ago (dormant maintenance, Jul 25, 2023). Validate activity before betting a new project on GLM-130B.
- 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 datasets and GLM-130B?

datasets: 🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools. GLM-130B: GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023). See the comparison table for live GitHub stats and shared categories.

### When should I choose datasets over GLM-130B?

Choose datasets over GLM-130B when Tags unique to datasets: ai, artificial-intelligence, computer-vision, dataset-hub; Also covers LLM Frameworks, Speech & Audio; More GitHub stars (22k vs 7.7k) - visibility, not fit.

### When should I choose GLM-130B over datasets?

Choose GLM-130B over datasets when Tags unique to GLM-130B: python; Leaner open-issue backlog (124).

### When should I avoid datasets?

LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.

### When should I avoid GLM-130B?

Last GitHub push was 1083 days ago (dormant maintenance, Jul 25, 2023). Validate activity before betting a new project on GLM-130B. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.

### Is datasets or GLM-130B more popular on GitHub?

datasets has more GitHub stars (21,706 vs 7,656). Stars measure visibility, not whether either tool fits your constraints.

### Are datasets and GLM-130B open source?

Yes - both are open-source projects on GitHub (datasets: Apache-2.0, GLM-130B: Apache-2.0).

### Where can I find alternatives to datasets or GLM-130B?

GraphCanon lists graph-backed alternatives at [datasets alternatives](/tools/huggingface-datasets/alternatives) and [GLM-130B alternatives](/tools/zai-org-glm-130b/alternatives) ([datasets markdown twin](/tools/huggingface-datasets/alternatives.md), [GLM-130B markdown twin](/tools/zai-org-glm-130b/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/huggingface-datasets-vs-zai-org-glm-130b.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, datasets or GLM-130B?

datasets: Very active. GLM-130B: 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 datasets and GLM-130B?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [datasets trust report](/tools/huggingface-datasets/trust); [GLM-130B trust report](/tools/zai-org-glm-130b/trust).

---

**Machine-readable endpoints**

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