--- title: "bigcode-evaluation-harness vs DevEval" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/bigcode-project-bigcode-evaluation-harness-vs-open-compass-deveval" tools: ["bigcode-project-bigcode-evaluation-harness", "open-compass-deveval"] --- # bigcode-evaluation-harness vs DevEval *GraphCanon updated Oct 8, 2026* ## Verdict Pick bigcode-evaluation-harness if bigcode-evaluation-harness is tailored towards evaluating autoregressive code generation models via Python and Docker containers for secure and reproducible execution environments; pick DevEval if devEval suits organizations requiring Python-centric software development benchmarks and practices evaluation. [bigcode-evaluation-harness](https://github.com/bigcode-project/bigcode-evaluation-harness) reports 1.1k GitHub stars, 262 forks, and 99 open issues, last pushed Jul 22, 2025. [DevEval](https://github.com/open-compass/DevEval) has 138 stars, 13 forks, and 0 open issues, last pushed May 30, 2024. Figures are from public GitHub metadata via [bigcode-evaluation-harness's repository](https://github.com/bigcode-project/bigcode-evaluation-harness) and [DevEval's repository](https://github.com/open-compass/DevEval). | | [bigcode-evaluation-harness](/tools/bigcode-project-bigcode-evaluation-harness.md) | [DevEval](/tools/open-compass-deveval.md) | | --- | --- | --- | | Tagline | A framework for evaluating autoregressive code generation language models. | A Comprehensive Benchmark for Software Development | | Stars | 1,062 | 138 | | Forks | 262 | 13 | | Open issues | 99 | 0 | | Language | Python | Python | | Adopt for | bigcode-evaluation-harness is tailored towards evaluating autoregressive code generation models via Python and Docker containers for secure and reproducible execution environments. | DevEval suits organizations requiring Python-centric software development benchmarks and practices evaluation. | | Persona | - | - | | Runtime | - | - | | License | bigcode-evaluation-harness is distributed under the Apache-2.0 license. | Apache-2.0 | | Categories | Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [bigcode-evaluation-harness](/tools/bigcode-project-bigcode-evaluation-harness.md) | [DevEval](/tools/open-compass-deveval.md) | | --- | --- | --- | | Days since push | 440d | 860d | | Open issues (now) | 99 | 0 | | Stars delta | +4 (30d) | 0 (30d) | | Open issues delta | +3 (30d) | 0 (30d) | | Full report | [trust report](/tools/bigcode-project-bigcode-evaluation-harness/trust.md) | [trust report](/tools/open-compass-deveval/trust.md) | ## Decision facts: bigcode-evaluation-harness - **Requirements:** Users must have Docker installed to leverage the isolated execution environments for model output evaluation. - **Adopt for:** bigcode-evaluation-harness is tailored towards evaluating autoregressive code generation models via Python and Docker containers for secure and reproducible execution environments. - **License detail:** bigcode-evaluation-harness is distributed under the Apache-2.0 license. ## Decision facts: DevEval - **Adopt for:** DevEval suits organizations requiring Python-centric software development benchmarks and practices evaluation. ## Choose when ### Choose bigcode-evaluation-harness if… - Requirements: Users must have Docker installed to leverage the isolated execution environments for model output evaluation.. - Tags unique to bigcode-evaluation-harness: autoregressive-models, code-generation, docker. - bigcode-evaluation-harness ships Docker support for self-hosted deployment. - When you need to isolate the evaluation environment from your local development setup, ensuring that no external variables affect the outcomes of model performance assessments. ### Choose DevEval if… - Tags unique to DevEval: benchmark, docker-supported, software-development. - Choose DevEval when you require comprehensive benchmarking specifically for software development using Python. - Leaner open-issue backlog (0). ## When NOT to use bigcode-evaluation-harness - When you require real-time evaluation without the overhead of generating outputs locally and then evaluating them within isolated environments via Docker. - If your model's evaluation process does not necessitate autoregressive setup or the security features provided by Docker, using bigcode-evaluation-harness might introduce unnecessary complexity. ## When NOT to use DevEval - Avoid DevEval if your software projects heavily rely on languages other than Python. - Do not use it when a non-Dockerized evaluation tool is preferred due to organizational constraints or preferences. ## Common questions ### What is the difference between bigcode-evaluation-harness and DevEval? bigcode-evaluation-harness: A framework for evaluating autoregressive code generation language models.. DevEval: A Comprehensive Benchmark for Software Development. See the comparison table for live GitHub stats and shared categories. ### When should I choose bigcode-evaluation-harness over DevEval? Choose bigcode-evaluation-harness over DevEval when Requirements: Users must have Docker installed to leverage the isolated execution environments for model output evaluation.; Tags unique to bigcode-evaluation-harness: autoregressive-models, code-generation, docker; bigcode-evaluation-harness ships Docker support for self-hosted deployment; When you need to isolate the evaluation environment from your local development setup, ensuring that no external variables affect the outcomes of model performance assessments. ### When should I choose DevEval over bigcode-evaluation-harness? Choose DevEval over bigcode-evaluation-harness when Tags unique to DevEval: benchmark, docker-supported, software-development; Choose DevEval when you require comprehensive benchmarking specifically for software development using Python; Leaner open-issue backlog (0). ### When should I avoid bigcode-evaluation-harness? When you require real-time evaluation without the overhead of generating outputs locally and then evaluating them within isolated environments via Docker. If your model's evaluation process does not necessitate autoregressive setup or the security features provided by Docker, using bigcode-evaluation-harness might introduce unnecessary complexity. ### When should I avoid DevEval? Avoid DevEval if your software projects heavily rely on languages other than Python. Do not use it when a non-Dockerized evaluation tool is preferred due to organizational constraints or preferences. ### Is bigcode-evaluation-harness or DevEval more popular on GitHub? bigcode-evaluation-harness has more GitHub stars (1,062 vs 138). Stars measure visibility, not whether either tool fits your constraints. ### Are bigcode-evaluation-harness and DevEval open source? Yes - both are open-source projects on GitHub (bigcode-evaluation-harness: Apache-2.0, DevEval: Apache-2.0). ### Where can I find alternatives to bigcode-evaluation-harness or DevEval? GraphCanon lists graph-backed alternatives at [bigcode-evaluation-harness alternatives](/tools/bigcode-project-bigcode-evaluation-harness/alternatives) and [DevEval alternatives](/tools/open-compass-deveval/alternatives) ([bigcode-evaluation-harness markdown twin](/tools/bigcode-project-bigcode-evaluation-harness/alternatives.md), [DevEval markdown twin](/tools/open-compass-deveval/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/bigcode-project-bigcode-evaluation-harness-vs-open-compass-deveval.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, bigcode-evaluation-harness or DevEval? bigcode-evaluation-harness: Dormant. DevEval: 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 bigcode-evaluation-harness and DevEval? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [bigcode-evaluation-harness trust report](/tools/bigcode-project-bigcode-evaluation-harness/trust); [DevEval trust report](/tools/open-compass-deveval/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=bigcode-project-bigcode-evaluation-harness`](/api/graphcanon/graph?tool=bigcode-project-bigcode-evaluation-harness) - 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/_