libgraph
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专为 Elixir 项目打造的图(Graph)数据结构库。
来源:AI 基于仓库事实生成
· 内容以仓库实际 README 为准
使用说明 查看原始 README 原仓库文档
中文使用说明暂未生成。下面保留原仓库 README 摘录,命令与配置均以原文为准。
原始 README 摘录(英文原文,节选前 3000 字符)
# libgraph
[](https://github.com/bitwalker/libgraph/actions/workflows/elixir.yml)
[](https://hex.pm/packages/libgraph)
[Documentation](https://hexdocs.pm/libgraph)
## About
This library provides:
- An implementation of a graph datastructure, `Graph`, designed for both directed and undirected graphs. The API supports
undirected graphs, but I'm still getting the tests updated to cover properties of undirected graphs.
- A priority queue implementation `PriorityQueue`, oriented towards graphs (it prioritizes lower integer values over high),
it is the fastest priority queue I know of which allows arbitrary priorities, and is more or less at parity with
`pqueue3` from [the pqueue library](https://github.com/okeuday/pqueue/), which supports priorities from 0 to 65535.
- An idiomatic Elixir API for creating, modifying, and querying its graph structure. Creating and modifying a graph
can be done in a single pipeline, and all queries take a Graph as their first parameter (one of my complaints with `:digraph`
is that there is some inconsistency with the API between `:digraph` and `:digraph_utils` for no apparent reason).
- Two "Reducer" implementations for mapping/reducing over a graph. I am trying to figure out the best way to make these
extendable and part of the API, so that you can drop in your own shortest path algorithms, etc - but I have yet to come up with an
approach that feels good on that front.
- A `Serializer` behaviour, for defining custom serialization of graphs, with a Graphviz DOT format serializer
provided out of the box.
It is backed by a large suite of tests, including StreamData properties for the graph model. Its
API shares some similarity with `:digraph`, but diverges in favor of a more idiomatic Elixir interface. In
addition, over time I'm adding new functions to query the graph in ways not previously supported via `:digraph`,
and introducing support for classifying a graph as undirected if so desired, so that queries over such graphs
become easier.
If you are interested in reading more about how you can make use of `libgraph`,
there is an [excellent blog post](https://medium.com/@tonyhammond/native-graph-data-in-elixir-8c0bb325d451) written by Tony Hammond
which is a very helpful walkthrough of the library and what can be built with it.
## Installation
If [available in Hex](https://hex.pm/docs/publish), the package can be installed
by adding `libgraph` to your list of dependencies in `mix.exs`:
```elixir
def deps do
[{:libgraph, "~> 0.16.0"}]
end
```
## Vertex identity
By default, libgraph identifies vertices using a 32-bit hash. Hash collisions can
silently treat distinct vertices as one, including their incident edges. To identify
vertices by their exact values instead:
```elixir
graph = Graph.new(vertex_identifier: fn vertex -> vertex e
阅读完整原文
项目深度分析 AI 生成
基于 Elixir 的企业级 DAG 工作流调度引擎
| 产品构想 | 利用 libgraph 作为底层图依赖分析与拓扑排序核心,封装一套支持分布式任务编排、失败重试、条件分支的生产级 DAG 工作流库或轻量管理系统。 |
| 核心功能 | DAG 图合法性校验(环检测)、基于优先队列的任务并发调度、动态参数传递、可视化仪表盘(集成 Mermaid/DOT 渲染)、任务状态持久化插件。 |
| 目标用户 | 使用 Elixir/Phoenix 的中后台工程团队、数据管道运维工程师(推测)。 |
| 难度/周期 | 高 · 2-4 个月 · 成本:极低(主要是个人全栈开发时间,测试依赖标准 BEAM 运行环境) |
| 收费模式 | 核心开源 + 商业版(高级调度器、分布式容灾、企业级 SSO 及监控面板)。 |
| 竞争风险 | Elixir 生态相对垂直且小众,已有 Oban 等成熟后台任务框架主导市场,需要找到强依赖图拓扑编排的差异化场景。 |
| 依据 | 已验证事实 |
BEAM 生态架构与依赖关系可视化分析 SaaS
| 产品构想 | 开发针对 Elixir/Erlang 项目的静态代码与运行时依赖分析工具,将模块调用、GenServer 链路建模为 libgraph 实例,并提供架构漂移检测与可视化报告服务。 |
| 核心功能 | Mix 依赖及代码 AST 依赖提取、循环依赖与耦合度告警、架构违规检测 CI 工具、交互式图谱浏览器。 |
| 目标用户 | Elixir 团队技术负责人、架构师、安全与审计人员(推测)。 |
| 难度/周期 | 中等 · 1-2 个月 · 成本:低(基础云主机、前端渲染库) |
| 收费模式 | SaaS 订阅制(按仓库数或团队席位收费)、CI/CD 插件付费授权。 |
| 竞争风险 | 小众语言市场天花板低,许多团队可通过免费开源工具(如 xref、mix xref)自行解决基础分析。 |
| 依据 | AI推测 |
基于图模型的动态权限策略评估组件(ReBAC 引擎)
| 产品构想 | 基于 libgraph 的图遍历和路径查找算法,构建针对 Elixir/Phoenix 应用的内存级关系权限控制引擎(类似 Google Zanzibar 模式的轻量级实现)。 |
| 核心功能 | 图结构主体-资源关系建模、超低延迟最短路径/可达性鉴权查询、动态关系边变更通知、Ecto 数据集装载扩展包。 |
| 目标用户 | 开发复杂企业级 B2B SaaS、多租户系统的 Elixir 开发者(推测)。 |
| 难度/周期 | 中等 · 1-3 个月 · 成本:低 |
| 收费模式 | 双重许可协议(针对商业闭源项目收取授权费)或提供云端托管权限计算 API。 |
| 竞争风险 | 市场对通用图权限库认知度参差不齐,纯内存方案在多节点水平扩展时的一致性维护复杂度高。 |
| 依据 | 尚需验证的假设 |
AI 基于仓库公开数据分析生成,含推测成分,不构成收益承诺。
报告会保存到 个人中心
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项目优势与风险
| 技术成熟度 | 创建时间待补全,最近推送 ,发布过 1 个 Release |
| 社区活跃 | Star 571 / Fork 0 / Issue 0(数据支持,可自行核实) |
| 许可证 | 未检测到(需人工确认) |
| 主要风险 | 上游项目方向可能变化;同赛道竞争者较多(见竞品表);热度与需求不完全等价 |
安装与使用
此项目未提供 Docker 镜像,安装步骤以原仓库 README 为准(涉及依赖安装与环境配置,对新手门槛较高)。