--- title: "cceval vs FastGPT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/amazon-science-cceval-vs-labring-fastgpt" tools: ["amazon-science-cceval", "labring-fastgpt"] --- # cceval vs FastGPT *GraphCanon updated Jul 11, 2026* ## Verdict Pick cceval when cceval is primarily Python; FastGPT is TypeScript; pick FastGPT when fastGPT is primarily TypeScript; cceval is Python. [cceval](https://crosscodeeval.github.io/) reports 181 GitHub stars, 25 forks, and 5 open issues, last pushed Aug 15, 2025. [FastGPT](https://fastgpt.io) has 29k stars, 7.2k forks, and 157 open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [cceval's repository](https://github.com/amazon-science/cceval) and [FastGPT's repository](https://github.com/labring/FastGPT). | | [cceval](/tools/amazon-science-cceval.md) | [FastGPT](/tools/labring-fastgpt.md) | | --- | --- | --- | | Tagline | CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion (NeurIPS 2023) | A knowledge-based platform built on LLMs for developing and deploying complex question-answering systems | | Stars | 181 | 28,903 | | Forks | 25 | 7,212 | | Open issues | 5 | 157 | | Language | Python | TypeScript | | Adopt for | - | FastGPT is a knowledge-based platform optimized for developing and deploying complex question-answering systems with built-in capabilities to process data, retrieve relevant information through RAG techniques, and enable | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Other | | Categories | Data & Retrieval, Evaluation & Observability | AI Agents, Data & Retrieval, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [cceval](/tools/amazon-science-cceval.md) | [FastGPT](/tools/labring-fastgpt.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 330d | 1d | | Open issues (now) | 5 | 157 | | Security scan | 5 critical, 7 high, 8 medium, 21 low (5 critical, 7 high, 8 medium, 21 low) | No MCP manifest | | Full report | [trust report](/tools/amazon-science-cceval/trust.md) | [trust report](/tools/labring-fastgpt/trust.md) | ## Decision facts: FastGPT - **Adopt for:** FastGPT is a knowledge-based platform optimized for developing and deploying complex question-answering systems with built-in capabilities to process data, retrieve relevant information through RAG techniques, and enable ## Choose when ### Choose cceval if… - cceval is primarily Python; FastGPT is TypeScript. - License: cceval is Apache-2.0, FastGPT is Other. - Tags unique to cceval: python. - Also covers Evaluation & Observability. ### Choose FastGPT if… - FastGPT is primarily TypeScript; cceval is Python. - License: FastGPT is Other, cceval is Apache-2.0. - Tags unique to FastGPT: agent, claude, deepseek, llm. - Also covers AI Agents, LLM Frameworks. - You prioritize ease of setup and configuration for advanced AI applications. ## When NOT to use cceval - Last GitHub push was 330 days ago (slowing maintenance, Aug 15, 2025). Validate activity before betting a new project on cceval. - Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ## When NOT to use FastGPT - If your needs extend beyond question-answering to other AI applications that require extensive customization which FastGPT does not natively support. - When the level of customization for specific data processors or RAG methods is more critical than out-of-the-box functionality. - Your use case requires a broader array of model integration, as FastGPT currently specializes in certain frameworks and may lack the depth needed for highly specialized models. ## Common questions ### What is the difference between cceval and FastGPT? cceval: CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion (NeurIPS 2023). FastGPT: A knowledge-based platform built on LLMs for developing and deploying complex question-answering systems. See the comparison table for live GitHub stats and shared categories. ### When should I choose cceval over FastGPT? Choose cceval over FastGPT when cceval is primarily Python; FastGPT is TypeScript; License: cceval is Apache-2.0, FastGPT is Other; Tags unique to cceval: python; Also covers Evaluation & Observability. ### When should I choose FastGPT over cceval? Choose FastGPT over cceval when FastGPT is primarily TypeScript; cceval is Python; License: FastGPT is Other, cceval is Apache-2.0; Tags unique to FastGPT: agent, claude, deepseek, llm; Also covers AI Agents, LLM Frameworks; You prioritize ease of setup and configuration for advanced AI applications. ### When should I avoid cceval? Last GitHub push was 330 days ago (slowing maintenance, Aug 15, 2025). Validate activity before betting a new project on cceval. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ### When should I avoid FastGPT? If your needs extend beyond question-answering to other AI applications that require extensive customization which FastGPT does not natively support. When the level of customization for specific data processors or RAG methods is more critical than out-of-the-box functionality. Your use case requires a broader array of model integration, as FastGPT currently specializes in certain frameworks and may lack the depth needed for highly specialized models. ### Is cceval or FastGPT more popular on GitHub? FastGPT has more GitHub stars (28,903 vs 181). Stars measure visibility, not whether either tool fits your constraints. ### Are cceval and FastGPT open source? Yes - both are open-source projects on GitHub (cceval: Apache-2.0, FastGPT: Other). ### Where can I find alternatives to cceval or FastGPT? GraphCanon lists graph-backed alternatives at [cceval alternatives](/tools/amazon-science-cceval/alternatives) and [FastGPT alternatives](/tools/labring-fastgpt/alternatives) ([cceval markdown twin](/tools/amazon-science-cceval/alternatives.md), [FastGPT markdown twin](/tools/labring-fastgpt/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/amazon-science-cceval-vs-labring-fastgpt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, cceval or FastGPT? cceval: Slowing. FastGPT: 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 cceval and FastGPT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [cceval trust report](/tools/amazon-science-cceval/trust); [FastGPT trust report](/tools/labring-fastgpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=amazon-science-cceval`](/api/graphcanon/graph?tool=amazon-science-cceval) - 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/_