apimatic-core
A library that contains core logic and utilities for consuming REST APIs using Python SDKs generated by APIMatic.
Decision gist · record as of 2026-08-14
Yes. The package is actively maintained, has no known vulnerabilities, uses a permissive license, and carries low install friction. Install it if you are using an APIMatic-generated SDK or building a custom REST client that needs robust request/response and authentication handling. It is not a general-purpose HTTP library; it is a specialized runtime for API consumption patterns.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Low install friction with a pure Python wheel distribution.
- Active maintenance with a recent release 67 days ago and commits through August 2026.
- Seven runtime dependencies are all standard, widely-used packages.
License · maintenance · safety
MIT (permissive) — MIT license is permissive; you can use this package in commercial and proprietary projects with minimal restrictions, provided you include the license notice.
last release 2026-06-08 (67 days) · last repo commit 2026-08-01
0 known vulnerabilities (OSV.dev, 2026-08-14) · 176,339 downloads/mo, #10,247 on PyPI
Alternatives
Verify before relying
pip install apimatic-core
from apimatic_core.request_builder import RequestBuilder
from apimatic_core.api_call import APICall
from apimatic_core.response_handler import ResponseHandler
builder = RequestBuilder('GET', 'https://api.example.com/endpoint')
request = builder.build()- Whether Python 3.7+ requirement is enforced at install time or only documented
- Real-world performance characteristics under high request volume
- Compatibility guarantees across minor version updates
What it is and what it does
apimatic-core is a foundational library that powers REST API SDKs generated by APIMatic. It abstracts the mechanics of building HTTP requests, handling responses, managing authentication (headers, query parameters, or combinations thereof), validating data against schemas, and deserializing responses back into Python objects. The library is not meant to be used directly in most cases—it's the runtime engine that generated SDKs depend on—but developers who build or customize API clients may interact with its RequestBuilder, APICall, ResponseHandler, and authentication classes directly.
The package bundles configuration classes for both global and per-endpoint settings, exception types for validation failures, logging infrastructure, and HTTP utilities like proxy support. Its seven runtime dependencies (jsonpickle, python-dateutil, requests, setuptools, jsonpointer, typing-extensions, and apimatic-core-interfaces) are all stable, mature libraries. The library is actively maintained.
Use it for
- Building custom REST API clients that need request construction, response parsing, and auth handling without writing boilerplate.
- Extending or customizing SDKs generated by APIMatic by leveraging its authentication, validation, and logging infrastructure.
- Implementing multi-factor authentication flows using the And/Or authentication group classes.
- Configuring HTTP proxies and client settings for API calls in enterprise or restricted network environments.
- Validating API responses against union-type schemas using oneOf and anyOf validation exceptions.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The package is actively maintained, has no known vulnerabilities, uses a permissive license, and carries low install friction. Install it if you are using an APIMatic-generated SDK or building a custom REST client that needs robust request/response and authentication handling. It is not a general-purpose HTTP library; it is a specialized runtime for API consumption patterns.
Install
apimatic-core on PyPI
Before you install
Low install friction with a pure Python wheel distribution. Active maintenance with a recent release 67 days ago and commits through August 2026. Seven runtime dependencies are all standard, widely-used packages.
License in practice
MIT license is permissive; you can use this package in commercial and proprietary projects with minimal restrictions, provided you include the license notice.
Quickstart
pip install apimatic-core
from apimatic_core.request_builder import RequestBuilder
from apimatic_core.api_call import APICall
from apimatic_core.response_handler import ResponseHandler
builder = RequestBuilder('GET', 'https://api.example.com/endpoint')
request = builder.build()
Verify before relying
- Whether Python 3.7+ requirement is enforced at install time or only documented
- Real-world performance characteristics under high request volume
- Compatibility guarantees across minor version updates
Package facts
| License | MIT permissive |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 7 packagesapimatic-core-interfacesjsonpicklepython-dateutilrequestssetuptoolsjsonpointertyping-extensions |
| Maintenance | Actively maintained 67 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 176,339 / month, #10,247 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: apimatic_core-0.2.25-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 › “API call utilities”
- apimatic-coreProvides core runtime utilities for REST API SDKs, including HTTP…
- ratelimRatelim enforces rate limits on function calls by decorating them to…
- ratelimiterEnforces rate limiting on function calls and operations, supporting…
Give your agent the search over MCP, or paste the wish link into any chat.
More Application Frameworks packages
FastAPI is a Python web framework for building REST APIs using type hints, with automatic request validation, serialization, and interactive API documentation.
Provides a way to document function parameters, class attributes, return types, and variables inline using Python's `Annotated` type hint syntax instead of traditional docstrings.
Textual is a Python framework for building cross-platform user interfaces that run in the terminal or web browser using a modern, component-based API.
Install it if you're developing CLI tools, dashboards, or interactive terminal applications.
Typer builds command-line applications from Python functions using type hints, automatically generating help text, argument parsing, and shell completion.
Install it if you are building CLIs in Python.
Build and connect to Model Context Protocol servers that expose tools, resources, and prompts to LLM applications over stdio, HTTP, or SSE transports.
Install it if you need to build or connect to servers.
Werkzeug is a WSGI utility library providing request/response objects, URL routing, an interactive debugger, HTTP utilities, and a development server for building web applications.
See also apimatic-core-interfaces · apimatic-requests-client-adapter · azure-core · Flask-RESTful · apify-client · djangorestframework-jsonapi · foundry-platform-sdk · pinterest-api-sdk · drf-exceptions-hog · makefun