Loupe代码助手影响力测量工具 是 AI Skill Hub 本期精选AI工具之一。综合评分 7.5 分,整体质量较高。我们推荐使用将其纳入你的 AI 工具库,帮助提升工作效率。
Loupe代码助手影响力测量工具 是一款基于 Go 开发的开源工具,专注于 AI编码助手、性能测量、开发工具 等核心功能。作为 GitHub 开源项目,它拥有活跃的社区支持和持续的版本迭代,代码完全透明可审计,支持本地部署以保护数据隐私。无论是个人使用还是集成到企业工作流,都能提供稳定可靠的解决方案。
Loupe代码助手影响力测量工具 是一款基于 Go 开发的开源工具,专注于 AI编码助手、性能测量、开发工具 等核心功能。作为 GitHub 开源项目,它拥有活跃的社区支持和持续的版本迭代,代码完全透明可审计,支持本地部署以保护数据隐私。无论是个人使用还是集成到企业工作流,都能提供稳定可靠的解决方案。
# 方式一:go install(推荐) go install github.com/StephanSchmidt/loupe@latest # 方式二:从源码编译 git clone https://github.com/StephanSchmidt/loupe cd loupe go build -o loupe . # 方式三:下载预编译二进制 # 访问 Releases 页面下载对应平台二进制文件 # https://github.com/StephanSchmidt/loupe/releases
# 查看帮助 loupe --help # 基本运行 loupe [options] <input> # 详细使用说明请查阅文档 # https://github.com/StephanSchmidt/loupe
# loupe 配置说明 # 查看配置选项 loupe --config-example > config.yml # 常见配置项 # output_dir: ./output # log_level: info # workers: 4 # 环境变量(覆盖配置文件) export LOUPE_CONFIG="/path/to/config.yml"
<p align="center"><img src="logo.svg" alt="Loupe" width="420"></p>
A small CLI that looks at your commits and tells you how much of your codebase is being written with AI assistants. It talks to Bitbucket+Jira, GitHub, GitLab, or Azure DevOps, reads commit trailers, and produces a reveal.js slide deck you can show in an exec meeting.
Think lighthouse, but for AI adoption. Run it once for a baseline, run it again in a quarter, compare. It runs locally — no SaaS account, nothing leaves your machine.
macOS and Linux (recommended):
brew install stephanschmidt/tap/loupe
The Homebrew tap publishes a fresh bottle on every release, Intel and Apple Silicon.
<details> <summary>Other install methods</summary>
- Go: go install github.com/StephanSchmidt/loupe/cmd/loupe@latest - Prebuilt binaries for linux / macOS / windows on amd64 + arm64: see the releases page - From source:
git clone https://github.com/StephanSchmidt/loupe.git
cd loupe
make build # produces ./bin/loupe
</details>
loupe init # interactive wizard, writes loupe.yaml
loupe baseline # ingest, then render the deck
loupe present # opens the latest deck in your browser
loupe status # local sqlite summary, no API calls
loupe baseline prompts for credentials every time it runs (echo off). There are no env vars or keychain hooks in v0 — I'd rather not invent a key-management story before it's needed. State lives at .loupe/state.db; decks go under ./reports/<timestamp>/.
If you only care about one repo on a GitHub account that has fifty others, narrow it down:
loupe baseline --repo StephanSchmidt/loupe
--repo filters the git host before any API call. When both providers are GitHub, the tracker filter follows automatically. Use --project KEY to scope the tracker side independently (a Jira project key, for instance).
Each run also drops standalone chart exports under ./reports/<timestamp>/charts/:
throughput.png, adoption.png for Slack and emailthroughput.svg, adoption.svg for board docs and wikisThe in-browser deck uses Apache ECharts; the PNG/SVG files are static snapshots produced server-side.
loupe.yaml holds non-secret coordinates only. Full shape is in loupe.example.yaml:
org: acme-eng
git_host:
provider: bitbucket-cloud
base_url: https://api.bitbucket.org/2.0
username: you@example.com
tracker:
provider: jira-cloud
site: acme.atlassian.net
email: you@example.com
ai_adoption:
# cutover_date: 2026-03-15 # uncomment to pin the cutover yourself
detection:
co_author_trailers: true
min_weekly_commits_for_cutover: 0.05
windows:
baseline_weeks: 12
comparison_weeks: 12
output:
path: ./reports
Every workspace and Jira project the credentials can see is indexed. There's no include/exclude list — let me know if you actually need one.
For GitHub-only setups, set both providers to github and supply a PAT at prompt time:
git_host:
provider: github
# base_url and username are optional; defaults to api.github.com / authed user
tracker:
provider: github
# base_url is optional; defaults to api.github.com
Loupe enumerates your own repos plus every org you belong to, and treats each repo with Issues enabled as a tracker project.
For GitLab-only setups (cloud or self-hosted), point both providers at gitlab and set base_url to your instance — one PAT covers both:
git_host:
provider: gitlab
base_url: https://gitlab.com # or https://gitlab.acme.com
tracker:
provider: gitlab
base_url: https://gitlab.com # match git_host
Loupe walks every group the token can see (subgroups included), and treats each project as both a repo and a tracker project. Issue/merge-request filters use path_with_namespace (e.g. acme/team/svc).
For Azure DevOps (cloud or Server), set both providers to azuredevops and supply the org name via git_host.username:
git_host:
provider: azuredevops
base_url: https://dev.azure.com # or https://devops.acme.com/tfs
username: myorg # Azure organization name
tracker:
provider: azuredevops
base_url: https://dev.azure.com
# site is optional when git_host is also azuredevops; otherwise set
# site: myorg
Workspaces map to Team Projects, repos to Azure Git repositories, and tracker projects to the same team projects (work items are queried via WIQL).
For Linear as a tracker (mix-and-match with any git host), set:
tracker:
provider: linear
base_url: https://api.linear.app
# project keys are Linear team keys, e.g. "ENG"
创新的AI工具评估方案,填补编码助手影响力量化的空白。Go语言实现保证性能,多平台支持完善,但生态成熟度有限。
AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。
✅ MIT 协议 — 最宽松的开源协议之一,可自由商用、修改、分发,仅需保留版权声明。
经综合评估,Loupe代码助手影响力测量工具 在AI工具赛道中表现稳健,质量良好。如果你已有明确的使用需求,可以直接上手体验;如果还在评估阶段,建议对比同类工具后再做决策。
| 原始名称 | loupe |
| 原始描述 | 开源AI工具:Open-source CLI that measures AI coding-assistant impact (Claude Code, Copilot, 。⭐22 · Go |
| Topics | AI编码助手性能测量开发工具CLI工具多平台支持 |
| GitHub | https://github.com/StephanSchmidt/loupe |
| License | MIT |
| 语言 | Go |
收录时间:2026-06-06 · 更新时间:2026-06-11 · License:MIT · AI Skill Hub 不对第三方内容的准确性作法律背书。