Comparison
END-TO-END-GENERATIVE-AI-PROJECTS vs ray-llm
Verdict
Pick END-TO-END-GENERATIVE-AI-PROJECTS if comprehensive generative AI projects focusing on Large Language Models (LLM) frameworks and deployment; pick ray-llm if ray-LLM is an archived project for deploying large language models on Ray, with its functionalities now integrated into the Ray framework through the ray.serve.llm and ray.data.llm APIs.
Markdown twin · END-TO-END-GENERATIVE-AI-PROJECTS alternatives · ray-llm alternatives
GraphCanon updated Sep 20, 2026
10views this month
END-TO-END-GENERATIVE-AI-PROJECTS
GURPREETKAURJETHRA/END-TO-END-GENERATIVE-AI-PROJECTS
★ 633pushed Jan 24, 2025
Trust & integrity
| Signal | END-TO-END-GENERATIVE-AI-PROJECTS | ray-llm |
|---|---|---|
| Maintenance | Dormant (603d since push) As of Sep 20, 2026 · github_public_v1 | Archived (554d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 18, 2026 · 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
- END-TO-END-GENERATIVE-AI-PROJECTS
- End to End Generative AI Industry Projects on LLM Models with Deployment_Awesome LLM Projects
- ray-llm
- Archived repository for LLMs on Ray, now integrated into Ray.
Stars
- END-TO-END-GENERATIVE-AI-PROJECTS
- 633
- ray-llm
- 1.3k
Forks
- END-TO-END-GENERATIVE-AI-PROJECTS
- 182
- ray-llm
- 90
Open issues
- END-TO-END-GENERATIVE-AI-PROJECTS
- 1
- ray-llm
- 0
Language
- END-TO-END-GENERATIVE-AI-PROJECTS
- -
- ray-llm
- -
Adopt for
- END-TO-END-GENERATIVE-AI-PROJECTS
- Comprehensive generative AI projects focusing on Large Language Models (LLM) frameworks and deployment.
- ray-llm
- Ray-LLM is an archived project for deploying large language models on Ray, with its functionalities now integrated into the Ray framework through the ray.serve.llm and ray.data.llm APIs.
Persona
- END-TO-END-GENERATIVE-AI-PROJECTS
- -
- ray-llm
- -
Runtime
- END-TO-END-GENERATIVE-AI-PROJECTS
- -
- ray-llm
- -
License
- END-TO-END-GENERATIVE-AI-PROJECTS
- MIT
- ray-llm
- License information is not provided.
Last pushed
- END-TO-END-GENERATIVE-AI-PROJECTS
- Jan 24, 2025
- ray-llm
- Mar 13, 2025
Categories
- END-TO-END-GENERATIVE-AI-PROJECTS
- Inference & Serving, LLM Frameworks, Model Training
- ray-llm
- Inference & Serving, Model Training
Trust and health
Maintenance
- END-TO-END-GENERATIVE-AI-PROJECTS
- Dormant (18%)
- ray-llm
- Archived (8%)
Days since push
- END-TO-END-GENERATIVE-AI-PROJECTS
- 603d
- ray-llm
- 554d
Archived on GitHub
- END-TO-END-GENERATIVE-AI-PROJECTS
- No
- ray-llm
- Yes
Open issues (now)
- END-TO-END-GENERATIVE-AI-PROJECTS
- 1
- ray-llm
- 0
Stars delta
- END-TO-END-GENERATIVE-AI-PROJECTS
- +5 (30d)
- ray-llm
- 0 (30d)
Owner type
- END-TO-END-GENERATIVE-AI-PROJECTS
- User
- ray-llm
- Organization
Full report
- END-TO-END-GENERATIVE-AI-PROJECTS
- Trust report
- ray-llm
- Trust report
Choose END-TO-END-GENERATIVE-AI-PROJECTS if…
- Tags unique to END-TO-END-GENERATIVE-AI-PROJECTS: chainlit, finetuning-llms, gemini, generative-ai.
- Also covers LLM Frameworks.
- - When you need a wide range of generative AI projects focused on various LLMs such as GPT4o, Gemini, Mistral, and more.
When NOT to use END-TO-END-GENERATIVE-AI-PROJECTS
- - Avoid if your project strictly relies on a single specific framework not covered by this array of projects such as TensorFlow or PyTorch alone.
- - Not advisable for those seeking traditional ML models without an emphasis on generative text and conversational AI capabilities.
Choose ray-llm if…
- Pricing: Pricing details are not available..
- Requirements: Ensure you have the latest version of Ray installed to use the ray.serve.llm and ray.data.llm APIs..
- Tags unique to ray-llm: llm, llm-serving, ray.
- If you are working with Ray and need to deploy large language models, use the ray.serve.llm and ray.data.llm APIs, which are now integrated into the Ray framework.
When NOT to use ray-llm
- Do not use the archived Ray-LLM repository for active development or deployment, as it is no longer maintained and its functionalities have been integrated into the Ray framework.
- If you require the latest features and support for deploying large language models, avoid the archived repository and use the ray.serve.llm and ray.data.llm APIs directly.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (GURPREETKAURJETHRA/END-TO-END-GENERATIVE-AI-PROJECTS) · observed Sep 20, 2026
- GitHub forks (GURPREETKAURJETHRA/END-TO-END-GENERATIVE-AI-PROJECTS) · observed Sep 20, 2026
- Last push (GURPREETKAURJETHRA/END-TO-END-GENERATIVE-AI-PROJECTS) · observed Jan 24, 2025
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (ray-project/ray-llm) · observed Sep 20, 2026
- GitHub forks (ray-project/ray-llm) · observed Sep 20, 2026
- Last push (ray-project/ray-llm) · observed Mar 13, 2025
- License file (unknown) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: END-TO-END-GENERATIVE-AI-PROJECTS 633 · ray-llm 1.3k (synced Sep 20, 2026).
Common questions
- What is the difference between END-TO-END-GENERATIVE-AI-PROJECTS and ray-llm?
- END-TO-END-GENERATIVE-AI-PROJECTS: End to End Generative AI Industry Projects on LLM Models with Deployment_Awesome LLM Projects. ray-llm: Archived repository for LLMs on Ray, now integrated into Ray.. See the comparison table for live GitHub stats and shared categories.
- When should I choose END-TO-END-GENERATIVE-AI-PROJECTS over ray-llm?
- Choose END-TO-END-GENERATIVE-AI-PROJECTS over ray-llm when Tags unique to END-TO-END-GENERATIVE-AI-PROJECTS: chainlit, finetuning-llms, gemini, generative-ai; Also covers LLM Frameworks; - When you need a wide range of generative AI projects focused on various LLMs such as GPT4o, Gemini, Mistral, and more.
- When should I choose ray-llm over END-TO-END-GENERATIVE-AI-PROJECTS?
- Choose ray-llm over END-TO-END-GENERATIVE-AI-PROJECTS when Pricing: Pricing details are not available.; Requirements: Ensure you have the latest version of Ray installed to use the ray.serve.llm and ray.data.llm APIs.; Tags unique to ray-llm: llm, llm-serving, ray; If you are working with Ray and need to deploy large language models, use the ray.serve.llm and ray.data.llm APIs, which are now integrated into the Ray framework.
- When should I avoid END-TO-END-GENERATIVE-AI-PROJECTS?
- - Avoid if your project strictly relies on a single specific framework not covered by this array of projects such as TensorFlow or PyTorch alone. - Not advisable for those seeking traditional ML models without an emphasis on generative text and conversational AI capabilities.
- When should I avoid ray-llm?
- Do not use the archived Ray-LLM repository for active development or deployment, as it is no longer maintained and its functionalities have been integrated into the Ray framework. If you require the latest features and support for deploying large language models, avoid the archived repository and use the ray.serve.llm and ray.data.llm APIs directly.
- Is END-TO-END-GENERATIVE-AI-PROJECTS or ray-llm more popular on GitHub?
- ray-llm has more GitHub stars (1,261 vs 633). Stars measure visibility, not whether either tool fits your constraints.
- Are END-TO-END-GENERATIVE-AI-PROJECTS and ray-llm open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to END-TO-END-GENERATIVE-AI-PROJECTS or ray-llm?
- GraphCanon lists graph-backed alternatives at END-TO-END-GENERATIVE-AI-PROJECTS alternatives and ray-llm alternatives (END-TO-END-GENERATIVE-AI-PROJECTS markdown twin, ray-llm 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, END-TO-END-GENERATIVE-AI-PROJECTS or ray-llm?
- END-TO-END-GENERATIVE-AI-PROJECTS: Dormant. ray-llm: Archived. 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 END-TO-END-GENERATIVE-AI-PROJECTS and ray-llm?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: END-TO-END-GENERATIVE-AI-PROJECTS trust report; ray-llm trust report.