Home/Compare/datasets vs GLM-130B

Comparison

datasets vs GLM-130B

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.

Markdown twin · datasets alternatives · GLM-130B alternatives

GraphCanon updated today

datasets logo

datasets

huggingface/datasets

22kpushed Jul 9, 2026
vs
GLM-130B logo

GLM-130B

zai-org/GLM-130B

7.7kpushed Jul 25, 2023

Trust & integrity

SignaldatasetsGLM-130B
Maintenance
Very active (1d since push)
As of today · github_public_v1
Dormant (1082d 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

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)

Stars

datasets
22k
GLM-130B
7.7k

Forks

datasets
3.3k
GLM-130B
601

Open issues

datasets
1.2k
GLM-130B
124

Language

datasets
Python
GLM-130B
Python

Adopt for

datasets
-
GLM-130B
-

Persona

datasets
-
GLM-130B
-

Runtime

datasets
-
GLM-130B
-

License

datasets
Apache-2.0
GLM-130B
Apache-2.0

Last pushed

datasets
Jul 9, 2026
GLM-130B
Jul 25, 2023

Categories

datasets
LLM Frameworks, Model Training, Speech & Audio
GLM-130B
Model Training

Trust and health

Maintenance

datasets
Very active (96%)
GLM-130B
Dormant (18%)

Days since push

datasets
1d
GLM-130B
1082d

Open issues (now)

datasets
1.2k
GLM-130B
124

Security scan

datasets
No lockfile
GLM-130B
No criticals

Full report

datasets
Trust report
GLM-130B
Trust report

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.

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.

Choose GLM-130B if…

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

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.

Explore

Sources

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

GitHub stars on cards: datasets 22k · GLM-130B 7.7k (synced Jul 11, 2026).

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 and GLM-130B alternatives (datasets markdown twin, GLM-130B 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, 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; GLM-130B trust report.