--- title: "bisheng vs self-repair" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dataelement-bisheng-vs-theoxo-self-repair" tools: ["dataelement-bisheng", "theoxo-self-repair"] --- # bisheng vs self-repair *GraphCanon updated Jul 11, 2026* ## Verdict Pick bisheng when bisheng is primarily TypeScript; self-repair is Python; pick self-repair when self-repair is primarily Python; bisheng is TypeScript. [bisheng](http://www.bisheng.ai) reports 12k GitHub stars, 1.9k forks, and 112 open issues, last pushed Jul 11, 2026. [self-repair](https://github.com/theoxo/self-repair) has 15 stars, 3 forks, and 1 open issues, last pushed May 2, 2024. Figures are from public GitHub metadata via [bisheng's repository](https://github.com/dataelement/bisheng) and [self-repair's repository](https://github.com/theoxo/self-repair). | | [bisheng](/tools/dataelement-bisheng.md) | [self-repair](/tools/theoxo-self-repair.md) | | --- | --- | --- | | Tagline | BISHENG is an open LLM devops platform for next generation Enterprise AI applications | [ICLR 2024]: Is Self-Repair a Silver Bullet for Code Generation? | | Stars | 11,508 | 15 | | Forks | 1,882 | 3 | | Open issues | 112 | 1 | | Language | TypeScript | Python | | Adopt for | BISHENG is a comprehensive open-source LLM DevOps platform designed specifically for next-generation Enterprise AI applications. | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | - | | Categories | AI Agents, Data & Retrieval, Developer Tools, Evaluation & Observability, LLM Frameworks, Model Training | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [bisheng](/tools/dataelement-bisheng.md) | [self-repair](/tools/theoxo-self-repair.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Archived (8%) | | Days since push | 0d | 800d | | Archived on GitHub | No | Yes | | Open issues (now) | 112 | 1 | | Owner type | Organization | User | | Full report | [trust report](/tools/dataelement-bisheng/trust.md) | [trust report](/tools/theoxo-self-repair/trust.md) | ## 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 bisheng if… - bisheng is primarily TypeScript; self-repair is Python. - 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 ### Choose self-repair if… - self-repair is primarily Python; bisheng is TypeScript. - Tags unique to self-repair: python. - Leaner open-issue backlog (1). ## 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 ## When NOT to use self-repair - self-repair is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency. - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ## Common questions ### What is the difference between bisheng and self-repair? bisheng: BISHENG is an open LLM devops platform for next generation Enterprise AI applications. self-repair: [ICLR 2024]: Is Self-Repair a Silver Bullet for Code Generation?. See the comparison table for live GitHub stats and shared categories. ### When should I choose bisheng over self-repair? Choose bisheng over self-repair when bisheng is primarily TypeScript; self-repair is Python; 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 choose self-repair over bisheng? Choose self-repair over bisheng when self-repair is primarily Python; bisheng is TypeScript; Tags unique to self-repair: python; Leaner open-issue backlog (1). ### 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 ### When should I avoid self-repair? self-repair is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ### Is bisheng or self-repair more popular on GitHub? bisheng has more GitHub stars (11,508 vs 15). Stars measure visibility, not whether either tool fits your constraints. ### Are bisheng and self-repair open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to bisheng or self-repair? GraphCanon lists graph-backed alternatives at [bisheng alternatives](/tools/dataelement-bisheng/alternatives) and [self-repair alternatives](/tools/theoxo-self-repair/alternatives) ([bisheng markdown twin](/tools/dataelement-bisheng/alternatives.md), [self-repair markdown twin](/tools/theoxo-self-repair/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/dataelement-bisheng-vs-theoxo-self-repair.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, bisheng or self-repair? bisheng: Very active. self-repair: 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 bisheng and self-repair? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [bisheng trust report](/tools/dataelement-bisheng/trust); [self-repair trust report](/tools/theoxo-self-repair/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=dataelement-bisheng`](/api/graphcanon/graph?tool=dataelement-bisheng) - 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/_