--- title: "FullStackBench vs scalene" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/bytedance-fullstackbench-vs-plasma-umass-scalene" tools: ["bytedance-fullstackbench", "plasma-umass-scalene"] --- # FullStackBench vs scalene *GraphCanon updated Aug 5, 2026* ## Verdict Pick FullStackBench if fullStackBench is a benchmark tool to evaluate large language models in full-stack coding across 16 languages, using 3K test samples; pick scalene if scalene is a high-performance CPU, GPU, and memory profiler for Python that uses AI to suggest optimizations. [FullStackBench](https://github.com/bytedance/FullStackBench) reports 121 GitHub stars, 10 forks, and 1 open issues, last pushed May 7, 2025. [scalene](https://github.com/plasma-umass/scalene) has 13k stars, 435 forks, and 151 open issues, last pushed Aug 1, 2026. Figures are from public GitHub metadata via [FullStackBench's repository](https://github.com/bytedance/FullStackBench) and [scalene's repository](https://github.com/plasma-umass/scalene). | | [FullStackBench](/tools/bytedance-fullstackbench.md) | [scalene](/tools/plasma-umass-scalene.md) | | --- | --- | --- | | Tagline | Multilingual benchmark for evaluating LLMs in full-stack coding | High-performance CPU, GPU, and memory profiler for Python with AI-powered optimization | | Stars | 121 | 13,485 | | Forks | 10 | 435 | | Open issues | 1 | 151 | | Language | Python | Python | | Adopt for | FullStackBench is a benchmark tool to evaluate large language models in full-stack coding across 16 languages, using 3K test samples. | Scalene is a high-performance CPU, GPU, and memory profiler for Python that uses AI to suggest optimizations. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [FullStackBench](/tools/bytedance-fullstackbench.md) | [scalene](/tools/plasma-umass-scalene.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 455d | 2d | | Open issues (now) | 1 | 151 | | Full report | [trust report](/tools/bytedance-fullstackbench/trust.md) | [trust report](/tools/plasma-umass-scalene/trust.md) | ## Shared compatibility - **Python**: [FullStackBench](/tools/bytedance-fullstackbench.md) - Python runtime; [scalene](/tools/plasma-umass-scalene.md) - Python runtime ## Decision facts: FullStackBench - **Adopt for:** FullStackBench is a benchmark tool to evaluate large language models in full-stack coding across 16 languages, using 3K test samples. ## Decision facts: scalene - **Adopt for:** Scalene is a high-performance CPU, GPU, and memory profiler for Python that uses AI to suggest optimizations. ## Choose when ### Choose FullStackBench if… - Tags unique to FullStackBench: benchmarks, full stack coding, llm-evaluation. - When you need to assess LLM performance in full-stack programming tasks covering multiple domains and languages - Leaner open-issue backlog (1). ### Choose scalene if… - Tags unique to scalene: cpu-profiling, gpu-programming, memory-allocation, profiler. - When you need precise profiling of both CPU and GPU performance in Python applications - More GitHub stars (13k vs 121) - visibility, not fit. ## When NOT to use FullStackBench - Avoid if testing scope is limited to a single or few programming languages as FullStackBench covers a wide range of languages - Not suitable if your focus is solely on theoretical coding challenges instead of practical, full-stack tasks ## When NOT to use scalene - If your project does not involve Python, as Scalene is specific to this language - Avoid if your system lacks necessary dependencies like Visual C++ Redistributable on Windows ## Common questions ### What is the difference between FullStackBench and scalene? FullStackBench: Multilingual benchmark for evaluating LLMs in full-stack coding. scalene: High-performance CPU, GPU, and memory profiler for Python with AI-powered optimization. See the comparison table for live GitHub stats and shared categories. ### When should I choose FullStackBench over scalene? Choose FullStackBench over scalene when Tags unique to FullStackBench: benchmarks, full stack coding, llm-evaluation; When you need to assess LLM performance in full-stack programming tasks covering multiple domains and languages; Leaner open-issue backlog (1). ### When should I choose scalene over FullStackBench? Choose scalene over FullStackBench when Tags unique to scalene: cpu-profiling, gpu-programming, memory-allocation, profiler; When you need precise profiling of both CPU and GPU performance in Python applications; More GitHub stars (13k vs 121) - visibility, not fit. ### When should I avoid FullStackBench? Avoid if testing scope is limited to a single or few programming languages as FullStackBench covers a wide range of languages Not suitable if your focus is solely on theoretical coding challenges instead of practical, full-stack tasks ### When should I avoid scalene? If your project does not involve Python, as Scalene is specific to this language Avoid if your system lacks necessary dependencies like Visual C++ Redistributable on Windows ### Is FullStackBench or scalene more popular on GitHub? scalene has more GitHub stars (13,485 vs 121). Stars measure visibility, not whether either tool fits your constraints. ### Are FullStackBench and scalene open source? Yes - both are open-source projects on GitHub (FullStackBench: Apache-2.0, scalene: Apache-2.0). ### Where can I find alternatives to FullStackBench or scalene? GraphCanon lists graph-backed alternatives at [FullStackBench alternatives](/tools/bytedance-fullstackbench/alternatives) and [scalene alternatives](/tools/plasma-umass-scalene/alternatives) ([FullStackBench markdown twin](/tools/bytedance-fullstackbench/alternatives.md), [scalene markdown twin](/tools/plasma-umass-scalene/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/bytedance-fullstackbench-vs-plasma-umass-scalene.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, FullStackBench or scalene? FullStackBench: Dormant. scalene: 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 FullStackBench and scalene? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [FullStackBench trust report](/tools/bytedance-fullstackbench/trust); [scalene trust report](/tools/plasma-umass-scalene/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=bytedance-fullstackbench`](/api/graphcanon/graph?tool=bytedance-fullstackbench) - 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/_