Home/Compare/ArXivChatGuru vs awesome

Comparison

ArXivChatGuru vs awesome

Verdict

Pick ArXivChatGuru when license: ArXivChatGuru is MIT, awesome is CC0-1.0; pick awesome when license: awesome is CC0-1.0, ArXivChatGuru is MIT.

Markdown twin · ArXivChatGuru alternatives · awesome alternatives

GraphCanon updated today

ArXivChatGuru logo

ArXivChatGuru

redis-developer/ArXivChatGuru

562pushed Mar 18, 2026
vs
awesome logo

awesome

sindresorhus/awesome

484kpushed Jun 30, 2026

Trust & integrity

SignalArXivChatGuruawesome
Maintenance
Slowing (114d since push)
As of today · github_public_v1
Active (11d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Personal account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
No lockfile
As of today · none

Tagline

ArXivChatGuru
Use ArXiv ChatGuru to talk to research papers. This app uses LangChain, OpenAI, Streamlit, and Redis as a vector database/semantic cache.
awesome
😎 Curated list of awesome topics including hardware resources

Stars

ArXivChatGuru
562
awesome
484k

Forks

ArXivChatGuru
76
awesome
36k

Open issues

ArXivChatGuru
7
awesome
92

Language

ArXivChatGuru
Python
awesome
-

Adopt for

ArXivChatGuru
-
awesome
-

Persona

ArXivChatGuru
-
awesome
-

Runtime

ArXivChatGuru
-
awesome
-

License

ArXivChatGuru
MIT
awesome
CC0-1.0

Last pushed

ArXivChatGuru
Mar 18, 2026
awesome
Jun 30, 2026

Categories

ArXivChatGuru
Data & Retrieval, LLM Frameworks, Vector Databases
awesome
LLM Frameworks

Trust and health

Maintenance

ArXivChatGuru
Slowing (36%)
awesome
Active (82%)

Days since push

ArXivChatGuru
114d
awesome
11d

Open issues (now)

ArXivChatGuru
7
awesome
92

Owner type

ArXivChatGuru
Organization
awesome
User

Full report

ArXivChatGuru
Trust report

Choose ArXivChatGuru if…

  • License: ArXivChatGuru is MIT, awesome is CC0-1.0.
  • Tags unique to ArXivChatGuru: ai, arxiv, langchain, machine-learning.
  • Also covers Data & Retrieval, Vector Databases.

When NOT to use ArXivChatGuru

  • Last GitHub push was 115 days ago (slowing maintenance, Mar 18, 2026). Validate activity before betting a new project on ArXivChatGuru.
  • 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.
  • Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.

Choose awesome if…

  • License: awesome is CC0-1.0, ArXivChatGuru is MIT.
  • Tags unique to awesome: awesome-list, resources.
  • More GitHub stars (484k vs 562) - 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.

Explore

Sources

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

GitHub stars on cards: ArXivChatGuru 562 · awesome 484k (synced Jul 11, 2026).

Common questions

What is the difference between ArXivChatGuru and awesome?
ArXivChatGuru: Use ArXiv ChatGuru to talk to research papers. This app uses LangChain, OpenAI, Streamlit, and Redis as a vector database/semantic cache.. awesome: 😎 Curated list of awesome topics including hardware resources. See the comparison table for live GitHub stats and shared categories.
When should I choose ArXivChatGuru over awesome?
Choose ArXivChatGuru over awesome when License: ArXivChatGuru is MIT, awesome is CC0-1.0; Tags unique to ArXivChatGuru: ai, arxiv, langchain, machine-learning; Also covers Data & Retrieval, Vector Databases.
When should I choose awesome over ArXivChatGuru?
Choose awesome over ArXivChatGuru when License: awesome is CC0-1.0, ArXivChatGuru is MIT; Tags unique to awesome: awesome-list, resources; More GitHub stars (484k vs 562) - visibility, not fit.
When should I avoid ArXivChatGuru?
Last GitHub push was 115 days ago (slowing maintenance, Mar 18, 2026). Validate activity before betting a new project on ArXivChatGuru. 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. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
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.
Is ArXivChatGuru or awesome more popular on GitHub?
awesome has more GitHub stars (484,026 vs 562). Stars measure visibility, not whether either tool fits your constraints.
Are ArXivChatGuru and awesome open source?
Yes - both are open-source projects on GitHub (ArXivChatGuru: MIT, awesome: CC0-1.0).
Where can I find alternatives to ArXivChatGuru or awesome?
GraphCanon lists graph-backed alternatives at ArXivChatGuru alternatives and awesome alternatives (ArXivChatGuru markdown twin, awesome 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, ArXivChatGuru or awesome?
ArXivChatGuru: Slowing. awesome: 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 ArXivChatGuru and awesome?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ArXivChatGuru trust report; awesome trust report.