Comparison
ROLL vs 12-factor-agents
Verdict
Pick ROLL when rOLL is primarily Python; 12-factor-agents is TypeScript; pick 12-factor-agents when 12-factor-agents is primarily TypeScript; ROLL is Python.
Markdown twin · ROLL alternatives · 12-factor-agents alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | ROLL | 12-factor-agents |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Slowing (292d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization 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 | No lockfile As of today · none |
Tagline
- ROLL
- Efficient and user-friendly scaling library for RL with LLMs
- 12-factor-agents
- Principles for building production-ready LLM-powered software
Stars
- ROLL
- 3.3k
- 12-factor-agents
- 24k
Forks
- ROLL
- 295
- 12-factor-agents
- 1.8k
Open issues
- ROLL
- 119
- 12-factor-agents
- 26
Language
- ROLL
- Python
- 12-factor-agents
- TypeScript
Adopt for
- ROLL
- -
- 12-factor-agents
- A TypeScript-based framework focused on applying 12-factor principles to build production-ready software with large language models.
Persona
- ROLL
- -
- 12-factor-agents
- -
Runtime
- ROLL
- -
- 12-factor-agents
- -
License
- ROLL
- Apache-2.0
- 12-factor-agents
- The content and images are licensed under CC BY-SA 4.0, while the code is covered by the Apache 2.0 License.
Last pushed
- ROLL
- Jul 11, 2026
- 12-factor-agents
- Sep 21, 2025
Categories
- ROLL
- Model Training, Evaluation & Observability
- 12-factor-agents
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- ROLL
- Very active (96%)
- 12-factor-agents
- Slowing (36%)
Days since push
- ROLL
- 0d
- 12-factor-agents
- 292d
Open issues (now)
- ROLL
- 119
- 12-factor-agents
- 26
Full report
- ROLL
- Trust report
- 12-factor-agents
- Trust report
Choose ROLL if…
- ROLL is primarily Python; 12-factor-agents is TypeScript.
- License: ROLL is Apache-2.0, 12-factor-agents is Other.
- Tags unique to ROLL: rlhf, rlvr, agentic.
- Also covers Model Training, Evaluation & Observability.
When NOT to use ROLL
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
Choose 12-factor-agents if…
- 12-factor-agents is primarily TypeScript; ROLL is Python.
- License: 12-factor-agents is Other, ROLL is Apache-2.0.
- Pricing: Free to use with open-source licenses.
- Requirements: Min 4 GB RAM; Requires Docker; Requires a solid understanding of TypeScript and familiarity with concepts like prompt engineering and context window management..
- Tags unique to 12-factor-agents: memory, llms, 12-factor, orchestration.
- Also covers AI Agents, LLM Frameworks.
- You are specifically developing AI agents or LLM-powered applications in TypeScript and need a structured guideline grounded in the 12-factor app principles.
When NOT to use 12-factor-agents
- If your project requires languages other than TypeScript or if your application already has a strong foundation not necessarily aligning with the 12-factor app principles.
- When you’re looking for comprehensive deployment automation tools rather than guidance on building LLM-powered agents and ensuring their reliability in production environments.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (alibaba/ROLL) · observed Jul 11, 2026
- GitHub forks (alibaba/ROLL) · observed Jul 11, 2026
- Last push (alibaba/ROLL) · observed Jul 11, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (humanlayer/12-factor-agents) · observed Jul 11, 2026
- GitHub forks (humanlayer/12-factor-agents) · observed Jul 11, 2026
- Last push (humanlayer/12-factor-agents) · observed Sep 21, 2025
- License file (Other) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ROLL 3.3k · 12-factor-agents 24k (synced Jul 11, 2026).
Common questions
- What is the difference between ROLL and 12-factor-agents?
- ROLL: Efficient and user-friendly scaling library for RL with LLMs. 12-factor-agents: Principles for building production-ready LLM-powered software. See the comparison table for live GitHub stats and shared categories.
- When should I choose ROLL over 12-factor-agents?
- Choose ROLL over 12-factor-agents when ROLL is primarily Python; 12-factor-agents is TypeScript; License: ROLL is Apache-2.0, 12-factor-agents is Other; Tags unique to ROLL: rlhf, rlvr, agentic; Also covers Model Training, Evaluation & Observability.
- When should I choose 12-factor-agents over ROLL?
- Choose 12-factor-agents over ROLL when 12-factor-agents is primarily TypeScript; ROLL is Python; License: 12-factor-agents is Other, ROLL is Apache-2.0; Pricing: Free to use with open-source licenses; Requirements: Min 4 GB RAM; Requires Docker; Requires a solid understanding of TypeScript and familiarity with concepts like prompt engineering and context window management.; Tags unique to 12-factor-agents: memory, llms, 12-factor, orchestration; Also covers AI Agents, LLM Frameworks; You are specifically developing AI agents or LLM-powered applications in TypeScript and need a structured guideline grounded in the 12-factor app principles.
- When should I avoid ROLL?
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
- When should I avoid 12-factor-agents?
- If your project requires languages other than TypeScript or if your application already has a strong foundation not necessarily aligning with the 12-factor app principles. When you’re looking for comprehensive deployment automation tools rather than guidance on building LLM-powered agents and ensuring their reliability in production environments.
- Is ROLL or 12-factor-agents more popular on GitHub?
- 12-factor-agents has more GitHub stars (24,036 vs 3,292). Stars measure visibility, not whether either tool fits your constraints.
- Are ROLL and 12-factor-agents open source?
- Yes - both are open-source projects on GitHub (ROLL: Apache-2.0, 12-factor-agents: Other).
- Where can I find alternatives to ROLL or 12-factor-agents?
- GraphCanon lists graph-backed alternatives at ROLL alternatives and 12-factor-agents alternatives (ROLL markdown twin, 12-factor-agents 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, ROLL or 12-factor-agents?
- ROLL: Very active. 12-factor-agents: 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 ROLL and 12-factor-agents?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ROLL trust report; 12-factor-agents trust report.