--- title: "apps vs DevEval" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/hendrycks-apps-vs-open-compass-deveval" tools: ["hendrycks-apps", "open-compass-deveval"] --- # apps vs DevEval *GraphCanon updated Aug 5, 2026* ## Verdict Pick apps if aPPS offers a benchmark to evaluate the competence of large language models on coding challenges using its datasets; pick DevEval if devEval suits organizations requiring Python-centric software development benchmarks and practices evaluation. [apps](https://github.com/hendrycks/apps) reports 534 GitHub stars, 70 forks, and 4 open issues, last pushed Jun 19, 2024. [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 [apps's repository](https://github.com/hendrycks/apps) and [DevEval's repository](https://github.com/open-compass/DevEval). | | [apps](/tools/hendrycks-apps.md) | [DevEval](/tools/open-compass-deveval.md) | | --- | --- | --- | | Tagline | APPS: Automated Programming Progress Standard | A Comprehensive Benchmark for Software Development | | Stars | 534 | 138 | | Forks | 70 | 13 | | Open issues | 4 | 0 | | Language | Python | Python | | Adopt for | APPS offers a benchmark to evaluate the competence of large language models on coding challenges using its datasets. | DevEval suits organizations requiring Python-centric software development benchmarks and practices evaluation. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Data & Retrieval, Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [apps](/tools/hendrycks-apps.md) | [DevEval](/tools/open-compass-deveval.md) | | --- | --- | --- | | Days since push | 777d | 797d | | Open issues (now) | 4 | 0 | | Owner type | User | Organization | | Full report | [trust report](/tools/hendrycks-apps/trust.md) | [trust report](/tools/open-compass-deveval/trust.md) | ## Decision facts: apps - **Adopt for:** APPS offers a benchmark to evaluate the competence of large language models on coding challenges using its datasets. ## Decision facts: DevEval - **Adopt for:** DevEval suits organizations requiring Python-centric software development benchmarks and practices evaluation. ## Choose when ### Choose apps if… - License: apps is MIT, DevEval is Apache-2.0. - Tags unique to apps: code generation, program-synthesis. - Also covers Data & Retrieval. - When you need benchmarking datasets specifically tailored for assessing the performance of your AI in solving programming tasks ### Choose DevEval if… - License: DevEval is Apache-2.0, apps is MIT. - Tags unique to DevEval: benchmark, docker-supported, python, software-development. - Choose DevEval when you require comprehensive benchmarking specifically for software development using Python. ## When NOT to use apps - If you solely require general datasets without a focus on coding challenges - When your use case does not involve using Python-based tools for developing machine learning applications that include program synthesis and code generation ## 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 apps and DevEval? apps: APPS: Automated Programming Progress Standard. DevEval: A Comprehensive Benchmark for Software Development. See the comparison table for live GitHub stats and shared categories. ### When should I choose apps over DevEval? Choose apps over DevEval when License: apps is MIT, DevEval is Apache-2.0; Tags unique to apps: code generation, program-synthesis; Also covers Data & Retrieval; When you need benchmarking datasets specifically tailored for assessing the performance of your AI in solving programming tasks. ### When should I choose DevEval over apps? Choose DevEval over apps when License: DevEval is Apache-2.0, apps is MIT; Tags unique to DevEval: benchmark, docker-supported, python, software-development; Choose DevEval when you require comprehensive benchmarking specifically for software development using Python. ### When should I avoid apps? If you solely require general datasets without a focus on coding challenges When your use case does not involve using Python-based tools for developing machine learning applications that include program synthesis and code generation ### 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 apps or DevEval more popular on GitHub? apps has more GitHub stars (534 vs 138). Stars measure visibility, not whether either tool fits your constraints. ### Are apps and DevEval open source? Yes - both are open-source projects on GitHub (apps: MIT, DevEval: Apache-2.0). ### Where can I find alternatives to apps or DevEval? GraphCanon lists graph-backed alternatives at [apps alternatives](/tools/hendrycks-apps/alternatives) and [DevEval alternatives](/tools/open-compass-deveval/alternatives) ([apps markdown twin](/tools/hendrycks-apps/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/hendrycks-apps-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, apps or DevEval? apps: 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 apps and DevEval? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [apps trust report](/tools/hendrycks-apps/trust); [DevEval trust report](/tools/open-compass-deveval/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=hendrycks-apps`](/api/graphcanon/graph?tool=hendrycks-apps) - 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/_