Home/Compare/llama-hub vs FastDatasets

Comparison

llama-hub vs FastDatasets

Verdict

Pick llama-hub if community-driven data loaders for LlamaIndex/LangChain; pick FastDatasets if fastDatasets is designed to aid in generating high-quality datasets for training Large Language Models (LLMs), leveraging Python capabilities.

Markdown twin · llama-hub alternatives · FastDatasets alternatives

GraphCanon updated 2w

llama-hub logo

llama-hub

run-llama/llama-hub

3.5kpushed Mar 1, 2024
vs
FastDatasets logo

FastDatasets

ZhuLinsen/FastDatasets

222pushed Aug 31, 2025

Trust & integrity

Signalllama-hubFastDatasets
Maintenance
Archived (889d since push)
As of 2w · github_public_v1
Slowing (340d since push)
As of 2w · github_public_v1
Provenance
Not a fork · Organization account
As of 2w · github_public_v1
Not a fork · Personal account
As of 2w · github_public_v1
OSV dependency advisories
Published findings
As of 1mo · osv@v1
Published findings
As of 1mo · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

llama-hub
A library of data loaders for LLMs made by the community
FastDatasets
A powerful tool for creating high-quality training datasets for Large Language Models (LLMs)

Stars

llama-hub
3.5k
FastDatasets
222

Forks

llama-hub
721
FastDatasets
43

Open issues

llama-hub
96
FastDatasets
0

Language

llama-hub
Jupyter Notebook
FastDatasets
Python

Adopt for

llama-hub
community-driven data loaders for LlamaIndex/LangChain
FastDatasets
FastDatasets is designed to aid in generating high-quality datasets for training Large Language Models (LLMs), leveraging Python capabilities.

Persona

llama-hub
-
FastDatasets
-

Runtime

llama-hub
-
FastDatasets
-

License

llama-hub
MIT
FastDatasets
Apache-2.0

Last pushed

llama-hub
Mar 1, 2024
FastDatasets
Aug 31, 2025

Categories

llama-hub
Data & Retrieval, Model Training
FastDatasets
Data & Retrieval, Model Training

Trust and health

Maintenance

llama-hub
Archived (8%)
FastDatasets
Slowing (36%)

Days since push

llama-hub
889d
FastDatasets
340d

Archived on GitHub

llama-hub
Yes
FastDatasets
No

Open issues (now)

llama-hub
96
FastDatasets
0

Owner type

llama-hub
Organization
FastDatasets
User

Full report

llama-hub
Trust report
FastDatasets
Trust report

Shared compatibility

  • Python · llama-hub: Python runtime · FastDatasets: Python runtime

Choose llama-hub if…

  • llama-hub is primarily Jupyter Notebook; FastDatasets is Python.
  • License: llama-hub is MIT, FastDatasets is Apache-2.0.
  • Tags unique to llama-hub: community-driven, jupyter-notebook, langchain, llamaindex.
  • Community-specific features require engagement with community

When NOT to use llama-hub

  • Limited support if the community lacks activity
  • Not suitable without familiarity with Poetry for dependency management

Choose FastDatasets if…

  • FastDatasets is primarily Python; llama-hub is Jupyter Notebook.
  • License: FastDatasets is Apache-2.0, llama-hub is MIT.
  • Tags unique to FastDatasets: asyncio, dataset-generation, datasets, llm.
  • - When you need to generate datasets specifically tailored to improve the performance of LLMs.

When NOT to use FastDatasets

  • - Avoid using if the project does not involve training or fine-tuning LLMs as its primary objective.
  • - If customization and flexibility are critical and your team prefers managing datasets manually for full control over each dataset creation process.

Explore

Sources

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

GitHub stars on cards: llama-hub 3.5k · FastDatasets 222 (synced Aug 8, 2026).

Common questions

What is the difference between llama-hub and FastDatasets?
llama-hub: A library of data loaders for LLMs made by the community. FastDatasets: A powerful tool for creating high-quality training datasets for Large Language Models (LLMs). See the comparison table for live GitHub stats and shared categories.
When should I choose llama-hub over FastDatasets?
Choose llama-hub over FastDatasets when llama-hub is primarily Jupyter Notebook; FastDatasets is Python; License: llama-hub is MIT, FastDatasets is Apache-2.0; Tags unique to llama-hub: community-driven, jupyter-notebook, langchain, llamaindex; Community-specific features require engagement with community.
When should I choose FastDatasets over llama-hub?
Choose FastDatasets over llama-hub when FastDatasets is primarily Python; llama-hub is Jupyter Notebook; License: FastDatasets is Apache-2.0, llama-hub is MIT; Tags unique to FastDatasets: asyncio, dataset-generation, datasets, llm; - When you need to generate datasets specifically tailored to improve the performance of LLMs.
When should I avoid llama-hub?
Limited support if the community lacks activity Not suitable without familiarity with Poetry for dependency management
When should I avoid FastDatasets?
- Avoid using if the project does not involve training or fine-tuning LLMs as its primary objective. - If customization and flexibility are critical and your team prefers managing datasets manually for full control over each dataset creation process.
Is llama-hub or FastDatasets more popular on GitHub?
llama-hub has more GitHub stars (3,469 vs 222). Stars measure visibility, not whether either tool fits your constraints.
Are llama-hub and FastDatasets open source?
Yes - both are open-source projects on GitHub (llama-hub: MIT, FastDatasets: Apache-2.0).
Where can I find alternatives to llama-hub or FastDatasets?
GraphCanon lists graph-backed alternatives at llama-hub alternatives and FastDatasets alternatives (llama-hub markdown twin, FastDatasets 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, llama-hub or FastDatasets?
llama-hub: Archived. FastDatasets: Slowing. 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 llama-hub and FastDatasets?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: llama-hub trust report; FastDatasets trust report.

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