Comparison
llama-hub vs upgini
Verdict
Pick llama-hub if community-driven data loaders for LlamaIndex/LangChain; pick upgini if automate feature engineering by integrating vast external datasets into ML workflows.
Markdown twin · llama-hub alternatives · upgini alternatives
GraphCanon updated 2w
Trust & integrity
| Signal | llama-hub | upgini |
|---|---|---|
| Maintenance | Archived (889d since push) As of 2w · github_public_v1 | Very active (4d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 3w · 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
- upgini
- Data search & enrichment library for Machine Learning
Stars
- llama-hub
- 3.5k
- upgini
- 355
Forks
- llama-hub
- 721
- upgini
- 26
Open issues
- llama-hub
- 96
- upgini
- 1
Language
- llama-hub
- Jupyter Notebook
- upgini
- Python
Adopt for
- llama-hub
- community-driven data loaders for LlamaIndex/LangChain
- upgini
- Automate feature engineering by integrating vast external datasets into ML workflows.
Persona
- llama-hub
- -
- upgini
- -
Runtime
- llama-hub
- -
- upgini
- -
License
- llama-hub
- MIT
- upgini
- BSD-3-Clause
Last pushed
- llama-hub
- Mar 1, 2024
- upgini
- Jul 30, 2026
Categories
- llama-hub
- Data & Retrieval, Model Training
- upgini
- Data & Retrieval, Model Training
Trust and health
Maintenance
- llama-hub
- Archived (8%)
- upgini
- Very active (96%)
Days since push
- llama-hub
- 889d
- upgini
- 4d
Archived on GitHub
- llama-hub
- Yes
- upgini
- No
Open issues (now)
- llama-hub
- 96
- upgini
- 1
Full report
- llama-hub
- Trust report
- upgini
- Trust report
Shared compatibility
- Python · llama-hub: Python runtime · upgini: Python runtime
Choose llama-hub if…
- llama-hub is primarily Jupyter Notebook; upgini is Python.
- License: llama-hub is MIT, upgini is BSD-3-Clause.
- 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 upgini if…
- upgini is primarily Python; llama-hub is Jupyter Notebook.
- License: upgini is BSD-3-Clause, llama-hub is MIT.
- Tags unique to upgini: automated-feature-engineering, automl, chatgpt, data-enrichment.
- upgini ships Docker support for self-hosted deployment.
- Need rapid access to diverse external data for model enrichment
When NOT to use upgini
- Seeking full control over the source code of all components integrated into ML pipelines
- Working with proprietary data that cannot be sourced or merged via external services
- Aiming for a solution without reliance on internet-accessible datasets
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (run-llama/llama-hub) · observed Aug 8, 2026
- GitHub forks (run-llama/llama-hub) · observed Aug 8, 2026
- Last push (run-llama/llama-hub) · observed Mar 1, 2024
- License file (MIT) · observed Aug 8, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (upgini/upgini) · observed Aug 3, 2026
- GitHub forks (upgini/upgini) · observed Aug 3, 2026
- Last push (upgini/upgini) · observed Jul 30, 2026
- License file (BSD-3-Clause) · observed Aug 3, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: llama-hub 3.5k · upgini 355 (synced Aug 8, 2026).
Common questions
- What is the difference between llama-hub and upgini?
- llama-hub: A library of data loaders for LLMs made by the community. upgini: Data search & enrichment library for Machine Learning. See the comparison table for live GitHub stats and shared categories.
- When should I choose llama-hub over upgini?
- Choose llama-hub over upgini when llama-hub is primarily Jupyter Notebook; upgini is Python; License: llama-hub is MIT, upgini is BSD-3-Clause; Tags unique to llama-hub: community-driven, jupyter-notebook, langchain, llamaindex; Community-specific features require engagement with community.
- When should I choose upgini over llama-hub?
- Choose upgini over llama-hub when upgini is primarily Python; llama-hub is Jupyter Notebook; License: upgini is BSD-3-Clause, llama-hub is MIT; Tags unique to upgini: automated-feature-engineering, automl, chatgpt, data-enrichment; upgini ships Docker support for self-hosted deployment; Need rapid access to diverse external data for model enrichment.
- 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 upgini?
- Seeking full control over the source code of all components integrated into ML pipelines Working with proprietary data that cannot be sourced or merged via external services Aiming for a solution without reliance on internet-accessible datasets
- Is llama-hub or upgini more popular on GitHub?
- llama-hub has more GitHub stars (3,469 vs 355). Stars measure visibility, not whether either tool fits your constraints.
- Are llama-hub and upgini open source?
- Yes - both are open-source projects on GitHub (llama-hub: MIT, upgini: BSD-3-Clause).
- Where can I find alternatives to llama-hub or upgini?
- GraphCanon lists graph-backed alternatives at llama-hub alternatives and upgini alternatives (llama-hub markdown twin, upgini 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 upgini?
- llama-hub: Archived. upgini: Very 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 llama-hub and upgini?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: llama-hub trust report; upgini trust report.