apeye-core

library1.1.5pypypi✓ verified 22d ago

apeye-core provides the core, offline-capable functionality for the broader `apeye` library. It acts as a foundational component, offering essential utilities that do not require network access. The library is actively maintained, with frequent minor releases mirroring PyPI updates.

http-networking

pip install apeye-core

github ↗package ↗

INSTALL

IMPORT

SIG · APEYE-CORE

apeye-core

http-networkingpythonv1.1.5

Install

1.8s avg

Import

107ms

Disk

18MB

Pass rate

10/ 10

Env Coverage10 / 10

glibc

3.9–3.13

musl

3.9–3.13

Install & Compatibility

Where this runs

tested against v1.1.5 · pip install

no network on importno background threads

Install × environment matrix

Each cell = how many times install + import succeeded across repeated harness runs. Partial = flaky.
glibc = Debian/Ubuntu slim · musl = Alpine Linux

musl

py 3.10–3.95 runs

installs and imports cleanly · install 0.0s · import 0.116s · 19.9MB

glibc

py 3.10–3.95 runs

installs and imports cleanly · install 1.8s · import 0.098s · 20MB

18MB installed

● package 18MB

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

URL

✓ from apeye_core import URL

✗ from apeye.url import URL

apeye-core provides foundational, offline functionality. For most user-facing interactions, such as creating URL objects or utilizing API tools, you should typically use the higher-level `apeye` library, which depends on `apeye-core`. This quickstart demonstrates a core component (URL) as exposed by `apeye`.

import os from apeye.url import URL # apeye-core itself is primarily an internal dependency. # Most user-facing functionality is exposed via the 'apeye' library. # Here's an example of using a core component (URL) from 'apeye' that likely leverages apeye-core. my_url = URL('https://example.com/api/data') print(f"Created URL object: {my_url}") print(f"URL scheme: {my_url.scheme}") print(f"URL hostname: {my_url.hostname}") # To see the full capabilities of apeye (which uses apeye-core), # install 'apeye' and refer to its documentation for features like caching and rate limiting. # pip install apeye

Debug

Known issues

gotcha`apeye-core` is primarily intended as an internal dependency for the `apeye` library. End-users seeking functionality for working with URLs, APIs, caching, or rate limiting should typically install and use the `apeye` library, not `apeye-core` directly.

fix

Install `apeye` (`pip install apeye`) for a full set of tools and refer to its documentation for usage examples.

affects: All versions

gotchaThe release notes for `apeye-core` often simply state 'Automatically copied from PyPI', providing minimal detail about specific changes or potential breaking changes between minor versions. Users should exercise caution and review changes if upgrading across several minor versions.

fix

Consult the GitHub repository's commit history or the `apeye` library's documentation for more detailed insights into specific changes.

affects: All versions

Upgrade

Version history

1.1.5latest on PyPI · released Jan 30, 2024

Audit

Dependencies

domdf-python-toolsrequiredRequired for core utilities and tooling.

Agent activity

22 hits · last 30 days

node

OpenAI (training)

Resources

githubhttps://github.com/domdfcoding/apeye-core ↗

packagehttps://pypi.org/project/apeye-core/ ↗