orb-billing
The official Python library for the orb API
Decision gist · record as of 2026-08-14
Yes. The library is actively maintained, has no known vulnerabilities, low install friction, and permissive licensing. Install it if you are building a Python application that integrates with Orb's billing platform and want type-safe, well-documented API access.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.9 or later; API key must be provided via environment variable or constructor argument.
- Low install friction with a pure-Python wheel and six common runtime dependencies.
- Actively maintained with a release within the past week and recent commits.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial and private use with minimal restrictions; suitable for most projects.
last release 2026-08-07 (7 days) · last repo commit 2026-08-14 · 5 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 874,424 downloads/mo, #4,835 on PyPI
Alternatives
Verify before relying
pip install orb-billing
import os
from orb import Orb
client = Orb(api_key=os.environ.get("ORB_API_KEY"))
customer = client.customers.create(
email="example@withorb.com",
name="My Customer"
)
print(customer.id)- Whether the library's auto-retry behavior (2 times by default) is configurable for production use cases.
- Performance characteristics and latency overhead of the typed Pydantic response layer under high throughput.
- Whether webhook verification helpers work with all common Python web frameworks beyond FastAPI.
What it is and what it does
orb-billing is the official Python client for the Orb billing platform API. It wraps Orb's REST endpoints with type-safe request and response objects, offering both synchronous and asynchronous clients powered by httpx. The library includes full type hints for IDE autocomplete, Pydantic models for responses with serialization helpers, and built-in pagination support for list operations.
Developers use it to integrate Orb's subscription billing, metering, and invoicing into Python applications. The library handles authentication via API keys, automatic retries on transient failures, webhook signature verification, and detailed error types for different HTTP status codes. It supports modern Python versions (3.9 through 3.14) and runs on all major operating systems.
Use it for
- Create and manage customer accounts and billing addresses in Orb from a Python backend.
- Fetch paginated lists of coupons, subscriptions, or invoices with automatic page handling.
- Handle incoming Orb webhooks with built-in signature verification to ensure authenticity.
- Build async billing workflows using the AsyncOrb client with optional aiohttp backend for concurrency.
- Catch and handle specific API errors (rate limits, auth failures, validation errors) with typed exception classes.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The library is actively maintained, has no known vulnerabilities, low install friction, and permissive licensing. Install it if you are building a Python application that integrates with Orb's billing platform and want type-safe, well-documented API access.
Install
orb-billing on PyPI
Before you install
Low install friction with a pure-Python wheel and six common runtime dependencies. Actively maintained with a release within the past week and recent commits.
Requires Python 3.9 or later; API key must be provided via environment variable or constructor argument.
License in practice
Apache-2.0 permissive license allows commercial and private use with minimal restrictions; suitable for most projects.
Quickstart
pip install orb-billing
import os
from orb import Orb
client = Orb(api_key=os.environ.get("ORB_API_KEY"))
customer = client.customers.create(
email="example@withorb.com",
name="My Customer"
)
print(customer.id)Verify before relying
- Whether the library's auto-retry behavior (2 times by default) is configurable for production use cases.
- Performance characteristics and latency overhead of the typed Pydantic response layer under high throughput.
- Whether webhook verification helpers work with all common Python web frameworks beyond FastAPI.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 6 packagesanyiodistrohttpxpydanticsniffiotyping-extensions |
| Maintenance | Actively maintained 7 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 874,424 / month, #4,835 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Intended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseOperating System :: MacOSOperating System :: Microsoft :: WindowsOperating System :: OS IndependentOperating System :: POSIXOperating System :: POSIX :: LinuxProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: 3.9Topic :: Software Development :: Libraries :: Python ModulesTyping :: Typed |
Evidence: orb_billing-4.68.0-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “orb billing api client”
- orb-billingA Python client library for the Orb billing REST API, providing typed…
- recurlyOfficial Python client library for Recurly's V3 API, enabling…
- google-cloud-billingProgrammatic access to Google Cloud Platform billing data and account…
Give your agent the search over MCP, or paste the wish link into any chat.
More Python Modules packages
Converts domain names between Unicode and ASCII-compatible encoding (Punycode) according to IDNA 2008 and Unicode Technical Standard 46, with security validation and broader script coverage than the standard library.
Install it if you work with internationalized domain names, need to validate domains, or use HTTP clients that depend on it transitively.
Setuptools is a Python build backend and package management tool that handles building, distributing, and installing Python packages, including support for C/C++ extension modules.
PyYAML parses and emits YAML 1.1 data format, enabling serialization and deserialization of configuration files and Python objects to and from human-readable YAML text.
Pydantic validates Python data structures against type hints, coercing and checking input at runtime to ensure it matches a declared schema.
Provides reusable metadata objects for use with PEP-593 `typing.Annotated` to express common constraints like bounds, collection sizes, and predicates on types.
Install it if you use or build libraries that need to express type constraints in a standardized, inspectable way—or if you want to annotate your own types with…
Provides runtime tools to inspect and introspect Python type annotations, enabling programmatic examination of type hints at execution time.
See also opencode-ai · agentex-client · arcadepy · chargebee · supermemory · rwslib · composio-client · lithic · modern-treasury · cloudflare