--- title: "deepteam vs bisheng" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/confident-ai-deepteam-vs-dataelement-bisheng" tools: ["confident-ai-deepteam", "dataelement-bisheng"] --- # deepteam vs bisheng *GraphCanon updated Sep 20, 2026* ## Verdict Pick deepteam if deepTeam is a tool to assess security and safety in LLMs and AI agents through an implementation of guardrails; pick bisheng if bISHENG is a comprehensive open-source LLM DevOps platform designed specifically for next-generation Enterprise AI applications. [deepteam](https://trydeepteam.com) reports 2.8k GitHub stars, 449 forks, and 64 open issues, last pushed Aug 21, 2026. [bisheng](http://www.bisheng.ai) has 12k stars, 1.9k forks, and 122 open issues, last pushed Aug 18, 2026. Figures are from public GitHub metadata via [deepteam's repository](https://github.com/confident-ai/deepteam) and [bisheng's repository](https://github.com/dataelement/bisheng). | | [deepteam](/tools/confident-ai-deepteam.md) | [bisheng](/tools/dataelement-bisheng.md) | | --- | --- | --- | | Tagline | Framework to red team LLMs and AI agents | BISHENG is an open LLM devops platform for next generation Enterprise AI applications | | Stars | 2,789 | 11,879 | | Forks | 449 | 1,941 | | Open issues | 64 | 122 | | Language | Python | Python | | Adopt for | DeepTeam is a tool to assess security and safety in LLMs and AI agents through an implementation of guardrails. | BISHENG is a comprehensive open-source LLM DevOps platform designed specifically for next-generation Enterprise AI applications. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | Evaluation & Observability | AI Agents, Data & Retrieval, Developer Tools, Evaluation & Observability, LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [deepteam](/tools/confident-ai-deepteam.md) | [bisheng](/tools/dataelement-bisheng.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 23d | 0d | | Open issues (now) | 64 | 122 | | Stars delta | +388 (30d) | +348 (30d) | | Open issues delta | +11 (30d) | +9 (30d) | | Full report | [trust report](/tools/confident-ai-deepteam/trust.md) | [trust report](/tools/dataelement-bisheng/trust.md) | ## Decision facts: deepteam - **Pricing:** freemium - Free to use and modify under the terms of its Apache 2.0 license, encouraging community contribution and adaptation - **Requirements:** Min 4 GB RAM; Requires a Python environment.; No Docker required for operation. - **Adopt for:** DeepTeam is a tool to assess security and safety in LLMs and AI agents through an implementation of guardrails. ## Decision facts: bisheng - **Requirements:** Min 16 GB RAM; Requires Docker - **Adopt for:** BISHENG is a comprehensive open-source LLM DevOps platform designed specifically for next-generation Enterprise AI applications. ## Choose when ### Choose deepteam if… - Pricing: Free to use and modify under the terms of its Apache 2.0 license, encouraging community contribution and adaptation. - Requirements: Min 4 GB RAM; Requires a Python environment.; No Docker required for operation.. - Tags unique to deepteam: apache 2.0, llm-guardrails, llm-red-teaming, llm-safety. - When you need a framework specifically designed for red-teaming large language models and AI agents under the Apache-2.0 license. ### Choose bisheng if… - Requirements: Min 16 GB RAM; Requires Docker. - Tags unique to bisheng: agent, ai, chatbot, enterprise. - Also covers AI Agents, Data & Retrieval, Developer Tools, LLM Frameworks, Model Training. - - When you need a unified solution that supports both GenAI workflows and RAG (Retrieval-Augmented Generation) capabilities, which are critical in enhancing the context understanding and response of L ## When NOT to use deepteam - If your team requires proprietary or more restrictive licensing conditions, given DeepTeam operates under an open-source Apache-2.0 license. - When you are working with non-Python programming environments as DeepTeam is only supported in Python. ## When NOT to use bisheng - - If your project requires minimal resource consumption and does not demand high enterprise-level system management or advanced observability features, BISHENG might be overkill given its hardware and ## Common questions ### What is the difference between deepteam and bisheng? deepteam: Framework to red team LLMs and AI agents. bisheng: BISHENG is an open LLM devops platform for next generation Enterprise AI applications. See the comparison table for live GitHub stats and shared categories. ### When should I choose deepteam over bisheng? Choose deepteam over bisheng when Pricing: Free to use and modify under the terms of its Apache 2.0 license, encouraging community contribution and adaptation; Requirements: Min 4 GB RAM; Requires a Python environment.; No Docker required for operation.; Tags unique to deepteam: apache 2.0, llm-guardrails, llm-red-teaming, llm-safety; When you need a framework specifically designed for red-teaming large language models and AI agents under the Apache-2.0 license. ### When should I choose bisheng over deepteam? Choose bisheng over deepteam when Requirements: Min 16 GB RAM; Requires Docker; Tags unique to bisheng: agent, ai, chatbot, enterprise; Also covers AI Agents, Data & Retrieval, Developer Tools, LLM Frameworks, Model Training; - When you need a unified solution that supports both GenAI workflows and RAG (Retrieval-Augmented Generation) capabilities, which are critical in enhancing the context understanding and response of L. ### When should I avoid deepteam? If your team requires proprietary or more restrictive licensing conditions, given DeepTeam operates under an open-source Apache-2.0 license. When you are working with non-Python programming environments as DeepTeam is only supported in Python. ### When should I avoid bisheng? - If your project requires minimal resource consumption and does not demand high enterprise-level system management or advanced observability features, BISHENG might be overkill given its hardware and ### Is deepteam or bisheng more popular on GitHub? bisheng has more GitHub stars (11,879 vs 2,789). Stars measure visibility, not whether either tool fits your constraints. ### Are deepteam and bisheng open source? Yes - both are open-source projects on GitHub (deepteam: Apache-2.0, bisheng: Apache-2.0). ### Where can I find alternatives to deepteam or bisheng? GraphCanon lists graph-backed alternatives at [deepteam alternatives](/tools/confident-ai-deepteam/alternatives) and [bisheng alternatives](/tools/dataelement-bisheng/alternatives) ([deepteam markdown twin](/tools/confident-ai-deepteam/alternatives.md), [bisheng markdown twin](/tools/dataelement-bisheng/alternatives.md)), 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](/compare/confident-ai-deepteam-vs-dataelement-bisheng.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, deepteam or bisheng? deepteam: Active. bisheng: 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 deepteam and bisheng? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [deepteam trust report](/tools/confident-ai-deepteam/trust); [bisheng trust report](/tools/dataelement-bisheng/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=confident-ai-deepteam`](/api/graphcanon/graph?tool=confident-ai-deepteam) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_