Home/Compare/awesome vs upgini

Comparison

awesome vs upgini

Verdict

Pick awesome when license: awesome is CC0-1.0, upgini is BSD-3-Clause; pick upgini when license: upgini is BSD-3-Clause, awesome is CC0-1.0.

Markdown twin · awesome alternatives · upgini alternatives

GraphCanon updated today

awesome logo

awesome

sindresorhus/awesome

484kpushed Jun 30, 2026
vs
upgini logo

upgini

upgini/upgini

354pushed Jul 7, 2026

Trust & integrity

Signalawesomeupgini
Maintenance
Active (11d since push)
As of today · github_public_v1
Very active (4d since push)
As of today · github_public_v1
Provenance
Not a fork · Personal 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
27 low (27 low)
As of today · osv@v1

Tagline

awesome
😎 Curated list of awesome topics including hardware resources
upgini
Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & comme

Stars

awesome
484k
upgini
354

Forks

awesome
36k
upgini
26

Open issues

awesome
92
upgini
1

Language

awesome
-
upgini
Python

Adopt for

awesome
-
upgini
-

Persona

awesome
-
upgini
-

Runtime

awesome
-
upgini
-

License

awesome
CC0-1.0
upgini
BSD-3-Clause

Last pushed

awesome
Jun 30, 2026
upgini
Jul 7, 2026

Categories

awesome
LLM Frameworks
upgini
Computer Vision, Data & Retrieval, LLM Frameworks

Trust and health

Maintenance

awesome
Active (82%)
upgini
Very active (96%)

Days since push

awesome
11d
upgini
4d

Open issues (now)

awesome
92
upgini
1

Owner type

awesome
User
upgini
Organization

Security scan

awesome
No lockfile
upgini
27 low (27 low)

Full report

Choose awesome if…

  • License: awesome is CC0-1.0, upgini is BSD-3-Clause.
  • Tags unique to awesome: awesome-list, resources.
  • More GitHub stars (484k vs 354) - visibility, not fit.

When NOT to use awesome

  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

Choose upgini if…

  • License: upgini is BSD-3-Clause, awesome is CC0-1.0.
  • Tags unique to upgini: automated-feature-engineering, automl, automl-pipeline, chatgpt.
  • Also covers Computer Vision, Data & Retrieval.
  • upgini ships Docker support for self-hosted deployment.

When NOT to use upgini

  • Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

Explore

Sources

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

GitHub stars on cards: awesome 484k · upgini 354 (synced Jul 11, 2026).

Common questions

What is the difference between awesome and upgini?
awesome: 😎 Curated list of awesome topics including hardware resources. upgini: Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & comme. See the comparison table for live GitHub stats and shared categories.
When should I choose awesome over upgini?
Choose awesome over upgini when License: awesome is CC0-1.0, upgini is BSD-3-Clause; Tags unique to awesome: awesome-list, resources; More GitHub stars (484k vs 354) - visibility, not fit.
When should I choose upgini over awesome?
Choose upgini over awesome when License: upgini is BSD-3-Clause, awesome is CC0-1.0; Tags unique to upgini: automated-feature-engineering, automl, automl-pipeline, chatgpt; Also covers Computer Vision, Data & Retrieval; upgini ships Docker support for self-hosted deployment.
When should I avoid awesome?
LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
When should I avoid upgini?
Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Is awesome or upgini more popular on GitHub?
awesome has more GitHub stars (484,026 vs 354). Stars measure visibility, not whether either tool fits your constraints.
Are awesome and upgini open source?
Yes - both are open-source projects on GitHub (awesome: CC0-1.0, upgini: BSD-3-Clause).
Where can I find alternatives to awesome or upgini?
GraphCanon lists graph-backed alternatives at awesome alternatives and upgini alternatives (awesome 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, awesome or upgini?
awesome: Active. 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 awesome and upgini?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome trust report; upgini trust report.