benchling-api-client
Autogenerated Python client from OpenAPI Python Client generator
Decision gist · record as of 2026-08-14
Yes, but with a caveat: install this only if you are building a direct API integration and the benchling-sdk does not meet your needs. The package is actively maintained, has low install friction, and carries no known vulnerabilities. However, Benchling's own recommendation to use the higher-level SDK suggests this is a lower-level tool; start with the SDK unless you have a specific reason to work at the raw API level.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.9 or later.
- You must have a valid Benchling API token and know the endpoint module path for the resource you want to access.
- Low install friction with a pure-Python wheel distribution.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 is permissive; you can use this package in commercial and proprietary projects without restriction, though you must include a copy of the license and note any modifications you make.
last release 2026-07-30 (15 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 291,509 downloads/mo, #7,970 on PyPI
Alternatives
Verify before relying
pip install benchling-api-client
from benchling_api_client import AuthenticatedClient
from benchling_api_client.api.some_endpoint import get_resource
client = AuthenticatedClient(base_url="https://api.benchling.com", token="your_token")
result = get_resource.sync(client=client)- Whether this package is actively maintained by Benchling or community-driven; the description recommends the benchling-sdk instead.
- Specific endpoint coverage and whether all Benchling API operations are available in this version.
- Performance characteristics and rate-limiting behavior when used at scale.
What it is and what it does
benchling-api-client is a low-level Python HTTP client autogenerated from Benchling's OpenAPI specification. It provides direct, type-hinted access to Benchling's REST API endpoints, with built-in retry logic via backoff and request handling through httpx. The package is actively maintained and supports Python 3.9 through 3.13.
However, the package's own documentation explicitly recommends using the higher-level benchling-sdk instead, which wraps this client with additional scaffolding to simplify common workflows. Use this package directly only if you need low-level API control, are integrating with a specific endpoint not well-covered by the SDK, or prefer working with the raw OpenAPI-generated interface.
Use it for
- Direct access to Benchling API endpoints when the higher-level SDK does not expose the operation you need.
- Building custom integrations that require fine-grained control over request/response handling and retry logic.
- Prototyping or testing new Benchling API features before they are wrapped by the SDK.
- Automating laboratory workflows by querying or updating resources (experiments, samples, sequences) via Benchling's API.
- Integrating Benchling data into Python data pipelines or analysis scripts.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, but with a caveat: install this only if you are building a direct API integration and the benchling-sdk does not meet your needs.
The package is actively maintained, has low install friction, and carries no known vulnerabilities. However, Benchling's own recommendation to use the higher-level SDK suggests this is a lower-level tool; start with the SDK unless you have a specific reason to work at the raw API level.
Install
benchling-api-client on PyPI
Before you install
Low install friction with a pure-Python wheel distribution. Actively maintained with a release 15 days old. Six runtime dependencies are all well-established packages (attrs, backoff, httpx, dataclasses-json, python-dateutil, typing-extensions), suggesting a stable, lightweight dependency chain.
Requires Python 3.9 or later. You must have a valid Benchling API token and know the endpoint module path for the resource you want to access.
License in practice
Apache-2.0 is permissive; you can use this package in commercial and proprietary projects without restriction, though you must include a copy of the license and note any modifications you make.
Quickstart
pip install benchling-api-client
from benchling_api_client import AuthenticatedClient
from benchling_api_client.api.some_endpoint import get_resource
client = AuthenticatedClient(base_url="https://api.benchling.com", token="your_token")
result = get_resource.sync(client=client)Verify before relying
- Whether this package is actively maintained by Benchling or community-driven; the description recommends the benchling-sdk instead.
- Specific endpoint coverage and whether all Benchling API operations are available in this version.
- Performance characteristics and rate-limiting behavior when used at scale.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release <4.0,>=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 6 packagesattrsbackoffdataclasses-jsonhttpxpython-dateutiltyping-extensions |
| Maintenance | Actively maintained 15 days since the last release |
| First released | |
| Downloads | 291,509 / month, #7,970 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | License :: OSI Approved :: Apache Software LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.9 |
Evidence: benchling_api_client-2.0.440-py3-none-any.whl
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