KnowForgeConcepts
Glossary
qianmoQ· 更新于 2026-10-09· 阅读 6 分钟· 0 次阅读登录后可跨设备保存划线和私人笔记登录
Glossary
Before we dive into the concepts, let’s clarify the terminology we’ll be using:
| Directed Acyclic Graph (DAG) | A directed acyclic graph is a computer science/mathematics term for representing the world with “nodes” and “edges”, where “edges” only flow in one direction. It is called a graph because it can be drawn and visualized. | |||
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| Dataflow | The organization of functions and dependencies. This is a DAG – it’s directed (one function is running before the other), acyclic, (there are no cycles, i.e., no function runs before itself), and a graph (it is easily naturally represented by nodes and edges) and can be represented visually. See Functions, nodes & dataflow. | |||
| Node \ | Hamilton node \ | Transform | A single step in the dataflow DAG representing a computation – usually 1:1 with functions but decorators break that pattern – in which case multiple transforms trace back to a single function. See Functions, nodes & dataflow. | |
| Function \ | Python function \ | Hamilton function \ | Node definition | A Python function written by a user to create a single node (in the standard case) or many (using function modifiers). See Functions, nodes & dataflow. |
| Module \ | Python module | Python code organized into a .py file. These are natural groupings of functions that turn to a set of nodes. See Code Organization for more details. | ||
| Driver \ | Hamilton Driver | An object that loads Python modules to build a dataflow. It is responsible for visualizing and executing the dataflow. See Driver. | ||
| script \ | runner \ | driver code | The piece of code where you create the Driver and execute the dataflow to get results. | |
| Config | Data that dictates the way the DAG is constructed. See Driver. | |||
| Function modifiers \ | Decorators | A function that modifies how your Hamilton function is compiled into a Hamilton node. See Function modifiers. |
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