Comparison
deepteam vs bisheng
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.
Markdown twin · deepteam alternatives · bisheng alternatives
GraphCanon updated Sep 20, 2026
vs
Trust & integrity
| Signal | deepteam | bisheng |
|---|---|---|
| Maintenance | Active (23d since push) As of Sep 13, 2026 · github_public_v1 | Very active (0d since push) As of Aug 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 13, 2026 · github_public_v1 | Not a fork · Organization account As of Aug 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | No published findings from this source as of 2026-07-11 As of Jul 11, 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
- deepteam
- Framework to red team LLMs and AI agents
- bisheng
- BISHENG is an open LLM devops platform for next generation Enterprise AI applications
Stars
- deepteam
- 2.8k
- bisheng
- 12k
Forks
- deepteam
- 449
- bisheng
- 1.9k
Open issues
- deepteam
- 64
- bisheng
- 122
Language
- deepteam
- Python
- bisheng
- Python
Adopt for
- deepteam
- DeepTeam is a tool to assess security and safety in LLMs and AI agents through an implementation of guardrails.
- bisheng
- BISHENG is a comprehensive open-source LLM DevOps platform designed specifically for next-generation Enterprise AI applications.
Persona
- deepteam
- -
- bisheng
- -
Runtime
- deepteam
- -
- bisheng
- -
License
- deepteam
- Apache-2.0
- bisheng
- Apache-2.0
Last pushed
- deepteam
- Aug 21, 2026
- bisheng
- Aug 18, 2026
Categories
- deepteam
- Evaluation & Observability
- bisheng
- AI Agents, Data & Retrieval, Developer Tools, Evaluation & Observability, LLM Frameworks, Model Training
Trust and health
Maintenance
- deepteam
- Active (82%)
- bisheng
- Very active (96%)
Days since push
- deepteam
- 23d
- bisheng
- 0d
Open issues (now)
- deepteam
- 64
- bisheng
- 122
Stars delta
- deepteam
- +388 (30d)
- bisheng
- +348 (30d)
Open issues delta
- deepteam
- +11 (30d)
- bisheng
- +9 (30d)
OSV dependency advisories
- deepteam
- No lockfile (source not queried)
- bisheng
- No published findings from this source as of 2026-07-11
Full report
- deepteam
- Trust report
- bisheng
- Trust report
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.
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.
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 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (confident-ai/deepteam) · observed Sep 20, 2026
- GitHub forks (confident-ai/deepteam) · observed Sep 20, 2026
- Last push (confident-ai/deepteam) · observed Aug 21, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (dataelement/bisheng) · observed Sep 20, 2026
- GitHub forks (dataelement/bisheng) · observed Sep 20, 2026
- Last push (dataelement/bisheng) · observed Aug 18, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: deepteam 2.8k · bisheng 12k (synced Sep 20, 2026).
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 and bisheng alternatives (deepteam markdown twin, bisheng 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, 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; bisheng trust report.