tinker
The official Python SDK for the tinker API
Decision gist · record as of 2026-08-14
Yes. Tinker is the official SDK for its API, actively maintained with no security issues, low install friction, and a permissive license. Install it if you need to call the Tinker API from Python. The large dependency footprint (14 runtime packages) is typical for ML SDKs and reflects legitimate needs for HTTP, serialization, and model support rather than bloat.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.11 or later; check your environment before installing.
- Low install friction with a pure-Python wheel.
- The package is actively maintained with a recent release and carries 14 runtime dependencies including httpx, pydantic, transformers, and numpy—a substantial but standard stack for ML-focused SDKs.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 is permissive; you can use, modify, and distribute this package freely in commercial and private projects, provided you include a copy of the license and note any changes.
last release 2026-08-08 (6 days) · last repo commit 2026-08-08 · 694 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,224,039 downloads/mo, #4,194 on PyPI
Alternatives
Verify before relying
pip install tinker
import tinker
# Initialize client and call API methods as documented at tinker-docs.thinkingmachines.ai- What specific Tinker API endpoints and features are exposed by this SDK version
- Whether transformers and numpy are always required or only for certain optional features
- Authentication method and credential management patterns for the Tinker API
What it is and what it does
Tinker is the official Python SDK for accessing the Tinker API, maintained by Thinking Machines. It provides a client library to integrate Tinker's machine learning and data processing capabilities into Python applications. The package bundles a large dependency graph—including httpx for HTTP communication, pydantic for data validation, transformers for ML model support, and numpy for numerical operations—reflecting its role as a full-featured API client rather than a lightweight wrapper.
The SDK is actively maintained, with releases within days of the current date and a repository with 694 stars. It supports Python 3.9 through 3.13 (though installation requires 3.11+), runs on Windows, macOS, and Linux, and carries no known security vulnerabilities. The permissive Apache-2.0 license poses no restrictions on use or redistribution.
Use it for
- Integrate Tinker's ML services into a Python application for model inference or data processing workflows
- Build data pipelines that call Tinker API endpoints from Python scripts or notebooks
- Prototype or deploy machine learning applications using Tinker's hosted models and APIs
- Automate batch processing or ETL tasks that depend on Tinker's computational services
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
Tinker is the official SDK for its API, actively maintained with no security issues, low install friction, and a permissive license. Install it if you need to call the Tinker API from Python. The large dependency footprint (14 runtime packages) is typical for ML SDKs and reflects legitimate needs for HTTP, serialization, and model support rather than bloat.
Install
tinker on PyPI
Before you install
Low install friction with a pure-Python wheel. The package is actively maintained with a recent release and carries 14 runtime dependencies including httpx, pydantic, transformers, and numpy—a substantial but standard stack for ML-focused SDKs.
Requires Python 3.11 or later; check your environment before installing.
License in practice
Apache-2.0 is permissive; you can use, modify, and distribute this package freely in commercial and private projects, provided you include a copy of the license and note any changes.
Quickstart
pip install tinker
import tinker
# Initialize client and call API methods as documented at tinker-docs.thinkingmachines.aiVerify before relying
- What specific Tinker API endpoints and features are exposed by this SDK version
- Whether transformers and numpy are always required or only for certain optional features
- Authentication method and credential management patterns for the Tinker API
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.11 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 14 packagesanyioclickdistrohttpxnumpyorjsonprotobufpydanticpyqwestrichsniffiotransformerstyping-extensionszstandard |
| Maintenance | Actively maintained 6 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 1,224,039 / month, #4,194 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 :: 3.9Topic :: Software Development :: Libraries :: Python ModulesTyping :: Typed |
Evidence: tinker-0.25.0-py3-none-any.whl
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