Menu
Define short Python project commands in pyproject.toml so agents and maintainers can run the same test, lint, docs, and release tasks without hunting through shell notes.
| name | Store Python project task runners in pyproject.toml with taskipy |
| slug | store-python-project-task-runners-in-pyproject-toml-with-taskipy |
| description | Define short Python project commands in pyproject.toml so agents and maintainers can run the same test, lint, docs, and release tasks without hunting through shell notes. |
| github_stars | 714 |
| verification | security_reviewed |
| source | https://github.com/taskipy/taskipy |
| author | taskipy |
| publisher_type | community |
| category | Developer Tools |
| framework | Multi-Framework |
| tool_ecosystem | {"github_repo":"taskipy/taskipy","github_stars":714} |
Define short Python project commands in pyproject.toml so agents and maintainers can run the same test, lint, docs, and release tasks without hunting through shell notes.
Python, pip or Poetry, pyproject.toml
Use the upstream install or setup path that matches your environment:
Requirements and caveats from upstream:
Basic usage or getting-started notes:
Every development pipeline has tasks, such as test, lint or publish. With taskipy, you can define those tasks in one file and run them with a simple command.
You can create a task called test and simply run:
Extracted from upstream docs: https://raw.githubusercontent.com/taskipy/taskipy/HEAD/README.md
Use DeepAgents to build long-running task agents with a batteries-included harness for planning, tools, and workflow structure.
Use Bisheng to assemble, evaluate, and publish enterprise RAG and agent workflows across internal data, models, and business users.
Use JetBrains Koog to define typed, fault-tolerant AI agents that run inside JVM, Kotlin, backend, mobile, or browser contexts.
Use Pipecat to define realtime voice and multimodal agent pipelines with transports, model providers, tools, and turn-taking tests.
Use Milvus to create vector collections, ingest embeddings, and serve filtered similarity search for RAG and agent retrieval workloads.
Routes engineering design, delivery, reliability, security, operations, and maintenance prompts to one native router skill backed by specialist guidance for Claude Code, Codex, Cursor, OpenCode, Copilot, and Gemini.
