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FullStackBench

bytedance/FullStackBench

Multilingual benchmark for evaluating LLMs in full-stack coding

GitHub

GraphCanon updated Oct 7, 2026 · GitHub synced Oct 7, 2026

48views this month

122 stars10 forksLast push May 7, 2025 Python Apache-2.0

Decision brief

FullStackBench is a benchmark tool to evaluate large language models in full-stack coding across 16 languages, using 3K test samples.

Good fit when

When you need to assess LLM performance in full-stack programming tasks covering multiple domains and languages
If your evaluation requires real-world code development scenarios that span desktop and web applications

Avoid when

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

Observed Jul 17, 2026 · Source: enrich:decision_facts

FullStackBench alternatives Trust report

Verify the decision

Maintenance and security

Full trust report

Maintenance: Dormant (517d since push); As of Oct 7, 2026
Provenance: Not a fork · Organization account; As of Oct 7, 2026
Security (OSV): No criticals; As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Backing

Company context for ByteDance. Display-only - separate from trust and ranking.

Company: Bytedance Inc.·GitHub org profile·Jul 11, 2026
Commercial model: Pure OSS·GitHub org profile (public repos)·Jul 11, 2026

Install

pip install FullStackBench

PyPI

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

FullStack Bench is a multilingual benchmark designed to assess the capabilities of large language models (LLMs) in real-world full-stack programming tasks across 16 languages with 3K test samples.

Capability facts

Languages: python
Source: github.language · Oct 7, 2026

Graph entities

ByteDancecompany

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Oct 7, 2026)

<a href="https://www.python.org/">

Source link

README

<h1 style="text align: center;" FullStack Bench: Evaluating LLMs as Full Stack Coders </h1 <div align="center" style="margin: 2px;" <a href="https://www.python.org/" <img alt="Build" src="https://img.shields.io/badge/Python 3.8+ 1f425f.svg?color=purple"style="display: inline bloc...

For agents

This page has a .md twin and JSON over the API.

/tools/bytedance-fullstackbench.md GET /api/graphcanon/tools/bytedance-fullstackbench GET /api/graphcanon/graph?tool=bytedance-fullstackbench