--- title: "cceval vs chroma" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/amazon-science-cceval-vs-chroma-core-chroma" tools: ["amazon-science-cceval", "chroma-core-chroma"] --- # cceval vs chroma *GraphCanon updated Jul 11, 2026* ## Verdict Pick cceval when cceval is primarily Python; chroma is Rust; pick chroma when chroma is primarily Rust; cceval is Python. [cceval](https://crosscodeeval.github.io/) reports 181 GitHub stars, 25 forks, and 5 open issues, last pushed Aug 15, 2025. [chroma](https://www.trychroma.com/) has 29k stars, 2.4k forks, and 728 open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [cceval's repository](https://github.com/amazon-science/cceval) and [chroma's repository](https://github.com/chroma-core/chroma). | | [cceval](/tools/amazon-science-cceval.md) | [chroma](/tools/chroma-core-chroma.md) | | --- | --- | --- | | Tagline | CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion (NeurIPS 2023) | Search infrastructure for AI | | Stars | 181 | 28,763 | | Forks | 25 | 2,377 | | Open issues | 5 | 728 | | Language | Python | Rust | | Adopt for | - | Chroma is an open-source data infrastructure for AI designed to support vector, hybrid, and full-text search capabilities with high performance. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Chroma is released under the Apache 2.0 license. | | Categories | Data & Retrieval, Evaluation & Observability | Data & Retrieval, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [cceval](/tools/amazon-science-cceval.md) | [chroma](/tools/chroma-core-chroma.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 330d | 0d | | Open issues (now) | 5 | 728 | | Security scan | 5 critical, 7 high, 8 medium, 21 low (5 critical, 7 high, 8 medium, 21 low) | 8 low (8 low) | | Full report | [trust report](/tools/amazon-science-cceval/trust.md) | [trust report](/tools/chroma-core-chroma/trust.md) | ## Decision facts: chroma - **Pricing:** freemium - The open-source version is free to use and modify; the hosted service (Chroma Cloud) has a freemium model offering $5 of initial credits. - **Requirements:** Min 1 GB RAM - **Adopt for:** Chroma is an open-source data infrastructure for AI designed to support vector, hybrid, and full-text search capabilities with high performance. - **License detail:** Chroma is released under the Apache 2.0 license. ## Choose when ### Choose cceval if… - cceval is primarily Python; chroma is Rust. - Tags unique to cceval: python. - Also covers Evaluation & Observability. ### Choose chroma if… - chroma is primarily Rust; cceval is Python. - Pricing: The open-source version is free to use and modify; the hosted service (Chroma Cloud) has a freemium model offering $5 of initial credits.. - Requirements: Min 1 GB RAM. - Tags unique to chroma: full-text-search, agents, rust, rust-lang. - Also covers Vector Databases. - - When you require a high-performance data infrastructure that can handle complex query needs for AI applications. - If your project necessitates fast, cost-effective, and scalable serverless services ## 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 chroma - - In scenarios where a more mature or enterprise-grade solution is required, as Chroma might be rapidly evolving and not yet fully stabilized. - - If your project requires extensive customization at the lower levels that the relatively new tool might not support comprehensively yet - - When the specific need for an AI application does not benefit from vector, hybrid, or full-text search capabilities that Chroma excels in. ## Common questions ### What is the difference between cceval and chroma? cceval: CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion (NeurIPS 2023). chroma: Search infrastructure for AI. See the comparison table for live GitHub stats and shared categories. ### When should I choose cceval over chroma? Choose cceval over chroma when cceval is primarily Python; chroma is Rust; Tags unique to cceval: python; Also covers Evaluation & Observability. ### When should I choose chroma over cceval? Choose chroma over cceval when chroma is primarily Rust; cceval is Python; Pricing: The open-source version is free to use and modify; the hosted service (Chroma Cloud) has a freemium model offering $5 of initial credits.; Requirements: Min 1 GB RAM; Tags unique to chroma: full-text-search, agents, rust, rust-lang; Also covers Vector Databases; - When you require a high-performance data infrastructure that can handle complex query needs for AI applications. - If your project necessitates fast, cost-effective, and scalable serverless services. ### 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 chroma? - In scenarios where a more mature or enterprise-grade solution is required, as Chroma might be rapidly evolving and not yet fully stabilized. - If your project requires extensive customization at the lower levels that the relatively new tool might not support comprehensively yet - When the specific need for an AI application does not benefit from vector, hybrid, or full-text search capabilities that Chroma excels in. ### Is cceval or chroma more popular on GitHub? chroma has more GitHub stars (28,763 vs 181). Stars measure visibility, not whether either tool fits your constraints. ### Are cceval and chroma open source? Yes - both are open-source projects on GitHub (cceval: Apache-2.0, chroma: Apache-2.0). ### Where can I find alternatives to cceval or chroma? GraphCanon lists graph-backed alternatives at [cceval alternatives](/tools/amazon-science-cceval/alternatives) and [chroma alternatives](/tools/chroma-core-chroma/alternatives) ([cceval markdown twin](/tools/amazon-science-cceval/alternatives.md), [chroma markdown twin](/tools/chroma-core-chroma/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-chroma-core-chroma.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, cceval or chroma? cceval: Slowing. chroma: 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 chroma? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [cceval trust report](/tools/amazon-science-cceval/trust); [chroma trust report](/tools/chroma-core-chroma/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/_