jira2py 0.4.0

The Python library to interact with Atlassian Jira REST API

jira2py

A lightweight, type-safe Python client for the Jira Cloud REST API v3.

Built for developers who want to interact with Jira programmatically without pulling in heavyweight dependencies — just two runtime dependencies (httpx, tenacity).

Installation

pip install jira2py

Quick Start

from jira2py import JiraAPI

jira = JiraAPI(
    url="https://your-domain.atlassian.net",
    username="[e-mail]",
    api_token="your-api-token",
)

# Get an issue
issue = jira.issues.get_issue("PROJECT-123")

# Search with JQL
results = jira.search.enhanced_search("project = PROJECT AND status = 'In Progress'")

# Create an issue
new_issue = jira.issues.create_issue(fields={
    "project": {"key": "PROJECT"},
    "issuetype": {"name": "Task"},
    "summary": "New task from jira2py",
})

Credentials can also be loaded automatically from environment variables (JIRA_URL, JIRA_USER, JIRA_API_TOKEN):

jira = JiraAPI()  # no arguments needed

Key Features

• Unified API — single JiraAPI entry point with access to all endpoints via jira.issues, jira.search, jira.comments, jira.projects, and more
• Automatic rate limit handling — retries on HTTP 429 with exponential backoff, jitter, and Retry-After header support
• Performant — persistent connections with HTTP/2, configurable timeouts
• Structured error handling — typed exception hierarchy (JiraNotFoundError, JiraValidationError, JiraRateLimitError, etc.) instead of generic errors
• Type-safe — full type annotations and a py.typed marker for downstream static analysis (PEP 561)
• Lightweight — two runtime dependencies: httpx and tenacity

API Coverage

Module	Operations
Issues	Get, create, edit issues; changelogs; edit metadata; create metadata
Issue Search	JQL search with pagination
Issue Comments	List and add comments
Issue Fields	List system and custom fields
Issue Links	List link types, create and delete links
Projects	Search and list projects
Attachments	Get attachment metadata
Users	Search users by name or email

Documentation

Full documentation is available at jira2py.org — including installation, configuration, error handling, rate limiting, and a complete API reference.

Machine-readable documentation for AI agents and LLMs:

• llms.txt — documentation index with links to Markdown versions of each page
• llms-full.txt — all documentation pages in a single file
• api-reference.json — full API schema with signatures, types, and docstrings

License

MIT