Comparison
awesome-automl-papers vs ArXivChatGuru
Verdict
Pick awesome-automl-papers if awesome-automl-papers is an organized collection of AutoML academic resources including papers on automated feature engineering, hyperparameter optimization, and neural architecture search; pick ArXivChatGuru if arXivChatGuru uses LangChain and OpenAI for question-answering over ArXiv research papers with Redis as the vector database.
Markdown twin · awesome-automl-papers alternatives · ArXivChatGuru alternatives
GraphCanon updated 4d
vs
Trust & integrity
| Signal | awesome-automl-papers | ArXivChatGuru |
|---|---|---|
| Maintenance | Dormant (784d since push) As of 3w · github_public_v1 | Slowing (156d since push) As of 4d · github_public_v1 |
| Provenance | Not a fork · Personal account As of 3w · github_public_v1 | Not a fork · Organization account As of 4d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) 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
- awesome-automl-papers
- A curated list of automated machine learning papers and resources.
- ArXivChatGuru
- An application to interrogate research papers using AI
Stars
- awesome-automl-papers
- 4.2k
- ArXivChatGuru
- 561
Forks
- awesome-automl-papers
- 678
- ArXivChatGuru
- 75
Open issues
- awesome-automl-papers
- 2
- ArXivChatGuru
- 7
Language
- awesome-automl-papers
- -
- ArXivChatGuru
- Python
Adopt for
- awesome-automl-papers
- awesome-automl-papers is an organized collection of AutoML academic resources including papers on automated feature engineering, hyperparameter optimization, and neural architecture search.
- ArXivChatGuru
- ArXivChatGuru uses LangChain and OpenAI for question-answering over ArXiv research papers with Redis as the vector database.
Persona
- awesome-automl-papers
- -
- ArXivChatGuru
- -
Runtime
- awesome-automl-papers
- -
- ArXivChatGuru
- -
License
- awesome-automl-papers
- Apache-2.0
- ArXivChatGuru
- ArXivChatGuru is covered under the MIT License, allowing free use and modification with attribution.
Last pushed
- awesome-automl-papers
- Jun 11, 2024
- ArXivChatGuru
- Mar 18, 2026
Categories
- awesome-automl-papers
- Evaluation & Observability, Model Training
- ArXivChatGuru
- Evaluation & Observability, Vector Databases
Trust and health
Maintenance
- awesome-automl-papers
- Dormant (18%)
- ArXivChatGuru
- Slowing (36%)
Days since push
- awesome-automl-papers
- 784d
- ArXivChatGuru
- 156d
Open issues (now)
- awesome-automl-papers
- 2
- ArXivChatGuru
- 7
Stars delta
- awesome-automl-papers
- Unknown
- ArXivChatGuru
- -1 (30d)
Open issues delta
- awesome-automl-papers
- Unknown
- ArXivChatGuru
- 0 (30d)
Owner type
- awesome-automl-papers
- User
- ArXivChatGuru
- Organization
Full report
- awesome-automl-papers
- Trust report
- ArXivChatGuru
- Trust report
Choose awesome-automl-papers if…
- License: awesome-automl-papers is Apache-2.0, ArXivChatGuru is MIT.
- Tags unique to awesome-automl-papers: automl, feature-engineering, hyperparameter-optimization, neural-architecture-search.
- Also covers Model Training.
- When you need a curated list of academic materials to research or learn about AutoML technologies
When NOT to use awesome-automl-papers
- If looking for direct integration with commercial AutoML systems, as the tool provides only a list of academic papers and resources
- When seeking practical AutoML solutions to directly apply in production settings without extensive customization or interpretation from papers
Choose ArXivChatGuru if…
- License: ArXivChatGuru is MIT, awesome-automl-papers is Apache-2.0.
- Pricing: Free to use but might incur costs for OpenAI API calls, depending on usage intensity..
- Requirements: Python knowledge is required for setting up ArXivChatGuru locally.; Integration expertise with LangChain and Redis is beneficial for optimizing the retrieval system..
- Tags unique to ArXivChatGuru: ai, arxiv, langchain, machine-learning.
- Also covers Vector Databases.
- ArXivChatGuru ships Docker support for self-hosted deployment.
- You need to derive insights from complex academic papers on ArXiv where a conversational AI interface could help in understanding dense content.
When NOT to use ArXivChatGuru
- The focus is on real-time data processing that requires updates more frequent than daily, as ArXivChatGuru's primary strength lies in static research paper analysis.
- You require comprehensive coverage of a domain beyond ArXiv, since the tool is specifically tailored for ArXiv-hosted papers and does not cover external academic databases.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (hibayesian/awesome-automl-papers) · observed Aug 4, 2026
- GitHub forks (hibayesian/awesome-automl-papers) · observed Aug 4, 2026
- Last push (hibayesian/awesome-automl-papers) · observed Jun 11, 2024
- License file (Apache-2.0) · observed Aug 4, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (redis-developer/ArXivChatGuru) · observed Aug 22, 2026
- GitHub forks (redis-developer/ArXivChatGuru) · observed Aug 22, 2026
- Last push (redis-developer/ArXivChatGuru) · observed Mar 18, 2026
- License file (MIT) · observed Aug 22, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: awesome-automl-papers 4.2k · ArXivChatGuru 561 (synced Aug 4, 2026).
Common questions
- What is the difference between awesome-automl-papers and ArXivChatGuru?
- awesome-automl-papers: A curated list of automated machine learning papers and resources.. ArXivChatGuru: An application to interrogate research papers using AI. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-automl-papers over ArXivChatGuru?
- Choose awesome-automl-papers over ArXivChatGuru when License: awesome-automl-papers is Apache-2.0, ArXivChatGuru is MIT; Tags unique to awesome-automl-papers: automl, feature-engineering, hyperparameter-optimization, neural-architecture-search; Also covers Model Training; When you need a curated list of academic materials to research or learn about AutoML technologies.
- When should I choose ArXivChatGuru over awesome-automl-papers?
- Choose ArXivChatGuru over awesome-automl-papers when License: ArXivChatGuru is MIT, awesome-automl-papers is Apache-2.0; Pricing: Free to use but might incur costs for OpenAI API calls, depending on usage intensity.; Requirements: Python knowledge is required for setting up ArXivChatGuru locally.; Integration expertise with LangChain and Redis is beneficial for optimizing the retrieval system.; Tags unique to ArXivChatGuru: ai, arxiv, langchain, machine-learning; Also covers Vector Databases; ArXivChatGuru ships Docker support for self-hosted deployment; You need to derive insights from complex academic papers on ArXiv where a conversational AI interface could help in understanding dense content.
- When should I avoid awesome-automl-papers?
- If looking for direct integration with commercial AutoML systems, as the tool provides only a list of academic papers and resources When seeking practical AutoML solutions to directly apply in production settings without extensive customization or interpretation from papers
- When should I avoid ArXivChatGuru?
- The focus is on real-time data processing that requires updates more frequent than daily, as ArXivChatGuru's primary strength lies in static research paper analysis. You require comprehensive coverage of a domain beyond ArXiv, since the tool is specifically tailored for ArXiv-hosted papers and does not cover external academic databases.
- Is awesome-automl-papers or ArXivChatGuru more popular on GitHub?
- awesome-automl-papers has more GitHub stars (4,155 vs 561). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-automl-papers and ArXivChatGuru open source?
- Yes - both are open-source projects on GitHub (awesome-automl-papers: Apache-2.0, ArXivChatGuru: MIT).
- Where can I find alternatives to awesome-automl-papers or ArXivChatGuru?
- GraphCanon lists graph-backed alternatives at awesome-automl-papers alternatives and ArXivChatGuru alternatives (awesome-automl-papers markdown twin, ArXivChatGuru 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-automl-papers or ArXivChatGuru?
- awesome-automl-papers: Dormant. ArXivChatGuru: 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 awesome-automl-papers and ArXivChatGuru?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-automl-papers trust report; ArXivChatGuru trust report.