runwayml
The official Python library for the runwayml 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 need to call RunwayML's API from Python and want type safety, automatic pagination, and both sync/async support out of the box. The only prerequisite is a valid RunwayML API key.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires a valid RunwayML API key (RUNWAYML_API_SECRET environment variable or passed explicitly); requires Python 3.9 or later.
- Low friction installation with a pure Python wheel.
- Actively maintained with a release from 2026-08-13.
License · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive), allowing use in commercial and private projects with minimal restrictions—attribution required but no copyleft obligations.
last release 2026-08-13 (1 days) · last repo commit 2026-08-13 · 26 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 222,286 downloads/mo, #9,267 on PyPI
Alternatives
Verify before relying
pip install runwayml
import os
from runwayml import RunwayML
client = RunwayML(api_key=os.environ.get("RUNWAYML_API_SECRET"))
image_to_video = client.image_to_video.create(
model="gen4_turbo",
prompt_image="https://example.com/assets/bunny.jpg",
ratio="1280:720",
prompt_text="The bunny is eating a carrot",
)
print(image_to_video.id)- Whether the library's auto-pagination handles all edge cases and rate-limit scenarios reliably in production.
- Performance characteristics of the async client with aiohttp backend under high concurrency.
- Whether retry logic (2 times by default) is appropriate for typical RunwayML API latency patterns.
What it is and what it does
RunwayML is an official Python SDK that wraps the RunwayML REST API, enabling developers to call generative AI services (image-to-video, text-to-image, and others) from Python code. It is generated by Stainless and provides both synchronous and asynchronous clients powered by httpx, with full type hints for all request parameters and response fields.
The library handles common API patterns automatically: pagination across list results, error classification (connection errors, rate limits, authentication failures, etc.), and automatic retry logic for transient failures. Responses are Pydantic models with helper methods for JSON serialization and dictionary conversion. It supports Python 3.9 through 3.14 and runs on macOS, Windows, and Linux.
Use it for
- Generate videos from static images with text prompts using the image-to-video endpoint.
- Create images from text descriptions via the text-to-image API with specified aspect ratios.
- Build async workflows that call multiple RunwayML endpoints concurrently without blocking.
- Integrate RunwayML's generative capabilities into a larger Python application with full IDE autocomplete.
- Paginate through lists of routers or other resources without manually handling cursor logic.
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 need to call RunwayML's API from Python and want type safety, automatic pagination, and both sync/async support out of the box. The only prerequisite is a valid RunwayML API key.
Install
runwayml on PyPI
Before you install
Low friction installation with a pure Python wheel. Actively maintained with a release from 2026-08-13. Depends on common, well-maintained libraries (httpx, pydantic, anyio) with no compiled dependencies.
Requires a valid RunwayML API key (RUNWAYML_API_SECRET environment variable or passed explicitly); requires Python 3.9 or later.
License in practice
Licensed under Apache-2.0 (permissive), allowing use in commercial and private projects with minimal restrictions—attribution required but no copyleft obligations.
Quickstart
pip install runwayml
import os
from runwayml import RunwayML
client = RunwayML(api_key=os.environ.get("RUNWAYML_API_SECRET"))
image_to_video = client.image_to_video.create(
model="gen4_turbo",
prompt_image="https://example.com/assets/bunny.jpg",
ratio="1280:720",
prompt_text="The bunny is eating a carrot",
)
print(image_to_video.id)Verify before relying
- Whether the library's auto-pagination handles all edge cases and rate-limit scenarios reliably in production.
- Performance characteristics of the async client with aiohttp backend under high concurrency.
- Whether retry logic (2 times by default) is appropriate for typical RunwayML API latency patterns.
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 1 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 222,286 / month, #9,267 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: runwayml-5.14.0-py3-none-any.whl
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