---
title: "cceval vs lever"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/amazon-science-cceval-vs-niansong1996-lever"
tools: ["amazon-science-cceval", "niansong1996-lever"]
---

# cceval vs lever

*GraphCanon updated Aug 5, 2026*

## Verdict

Pick cceval if cceval is designed for assessing cross-file code completion capabilities in multilingual environments across different setups and retrieval methods; pick lever if lever offers support for verifying language-to-code generation through actual code execution.

[cceval](https://crosscodeeval.github.io/) reports 182 GitHub stars, 28 forks, and 5 open issues, last pushed Aug 15, 2025. [lever](https://arxiv.org/abs/2302.08468) has 90 stars, 8 forks, and 2 open issues, last pushed Jul 5, 2023. Figures are from public GitHub metadata via [cceval's repository](https://github.com/amazon-science/cceval) and [lever's repository](https://github.com/niansong1996/lever).

| | [cceval](/tools/amazon-science-cceval.md) | [lever](/tools/niansong1996-lever.md) |
| --- | --- | --- |
| Tagline | CrossCodeEval Benchmark for Cross-File Code Completion | Supports learning to verify language-to-code generation with execution |
| Stars | 182 | 90 |
| Forks | 28 | 8 |
| Open issues | 5 | 2 |
| Language | Python | Python |
| Adopt for | cceval is designed for assessing cross-file code completion capabilities in multilingual environments across different setups and retrieval methods. | Lever offers support for verifying language-to-code generation through actual code execution. |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | Lever's source code is freely available under an MIT License for modification and distribution in both personal and commercial projects. |
| Categories | Evaluation & Observability | Evaluation & Observability, Model Training |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [cceval](/tools/amazon-science-cceval.md) | [lever](/tools/niansong1996-lever.md) |
| --- | --- | --- |
| Maintenance | Slowing (36%) | Dormant (18%) |
| Days since push | 354d | 1127d |
| Open issues (now) | 5 | 2 |
| Owner type | Organization | User |
| Full report | [trust report](/tools/amazon-science-cceval/trust.md) | [trust report](/tools/niansong1996-lever/trust.md) |

## Shared compatibility

- **Python**: [cceval](/tools/amazon-science-cceval.md) - Python runtime; [lever](/tools/niansong1996-lever.md) - Python runtime

## Decision facts: cceval

- **Adopt for:** cceval is designed for assessing cross-file code completion capabilities in multilingual environments across different setups and retrieval methods.

## Decision facts: lever

- **Requirements:** All of the pipelines have been tested on Linux machines only, requiring possibly custom `tree-sitter` parsers for other platforms.
- **Adopt for:** Lever offers support for verifying language-to-code generation through actual code execution.
- **License detail:** Lever's source code is freely available under an MIT License for modification and distribution in both personal and commercial projects.

## Choose when

### Choose cceval if…

- License: cceval is Apache-2.0, lever is MIT.
- Tags unique to cceval: benchmark, code-completion, cross-file, evaluation-tool.
- You need to evaluate the performance of cross-file code completion systems that can handle multiple programming languages simultaneously

### Choose lever if…

- License: lever is MIT, cceval is Apache-2.0.
- Requirements: All of the pipelines have been tested on Linux machines only, requiring possibly custom `tree-sitter` parsers for other platforms..
- Tags unique to lever: code verification, execution based verification, language-to-code.
- Also covers Model Training.
- When the development team needs to verify accuracy of generated code from language inputs based on execution, and has access to Linux machines to ensure seamless functionality.

## When NOT to use cceval

- Your evaluation needs are focused solely on single-file or intralingual code completion benchmarks
- You require real-time data access or live updates; cceval provides pre-packaged datasets that need to be manually obtained and uncompressed

## When NOT to use lever

- Avoid Lever if developing in an environment other than Linux as it requires the use of tree-sitter parsers, which may not be compatible with your system.
- Do not choose Lever if you seek a tool that does not require setting up a conda environment and installing specific dependencies to operate.

## Common questions

### What is the difference between cceval and lever?

cceval: CrossCodeEval Benchmark for Cross-File Code Completion. lever: Supports learning to verify language-to-code generation with execution. See the comparison table for live GitHub stats and shared categories.

### When should I choose cceval over lever?

Choose cceval over lever when License: cceval is Apache-2.0, lever is MIT; Tags unique to cceval: benchmark, code-completion, cross-file, evaluation-tool; You need to evaluate the performance of cross-file code completion systems that can handle multiple programming languages simultaneously.

### When should I choose lever over cceval?

Choose lever over cceval when License: lever is MIT, cceval is Apache-2.0; Requirements: All of the pipelines have been tested on Linux machines only, requiring possibly custom `tree-sitter` parsers for other platforms.; Tags unique to lever: code verification, execution based verification, language-to-code; Also covers Model Training; When the development team needs to verify accuracy of generated code from language inputs based on execution, and has access to Linux machines to ensure seamless functionality.

### When should I avoid cceval?

Your evaluation needs are focused solely on single-file or intralingual code completion benchmarks You require real-time data access or live updates; cceval provides pre-packaged datasets that need to be manually obtained and uncompressed

### When should I avoid lever?

Avoid Lever if developing in an environment other than Linux as it requires the use of tree-sitter parsers, which may not be compatible with your system. Do not choose Lever if you seek a tool that does not require setting up a conda environment and installing specific dependencies to operate.

### Is cceval or lever more popular on GitHub?

cceval has more GitHub stars (182 vs 90). Stars measure visibility, not whether either tool fits your constraints.

### Are cceval and lever open source?

Yes - both are open-source projects on GitHub (cceval: Apache-2.0, lever: MIT).

### Where can I find alternatives to cceval or lever?

GraphCanon lists graph-backed alternatives at [cceval alternatives](/tools/amazon-science-cceval/alternatives) and [lever alternatives](/tools/niansong1996-lever/alternatives) ([cceval markdown twin](/tools/amazon-science-cceval/alternatives.md), [lever markdown twin](/tools/niansong1996-lever/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-niansong1996-lever.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, cceval or lever?

cceval: Slowing. lever: Dormant. 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 lever?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [cceval trust report](/tools/amazon-science-cceval/trust); [lever trust report](/tools/niansong1996-lever/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/_
