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aiohappyeyeballs

PyPIv2.7.1

Happy Eyeballs for asyncio

Safe to adopt

Yes — aiohappyeyeballs scores well across adoption, maintenance, weight, supply chain, and licensing. No download data reported for this package yet. Last published 70 days ago. 13 releases in the last 2 years.

  • ?Adoption: grade ?, Not reported by this registry.

    No download data reported for this package yet.

  • AMaintenance: grade A, Excellent.

    Last published 70 days ago. 13 releases in the last 2 years.

  • AWeight: grade A, Excellent.

    Zero runtime dependencies, about 15 KB installed.

  • BSupply chain: grade B, Good.

    This package has a single maintainer (bus factor of 1).

  • ALicense: grade A, Excellent.

    PSF-2.0 — permissive, with no copyleft found in the dependency tree.

Grades are computed deterministically from registry metadata collected by PackageGraph — downloads, dependents, publish dates, the resolved dependency tree, maintainer count, and declared licenses. No third-party scores are used.

Install cost

What you actually take on by adding aiohappyeyeballs to a project.

0
Direct dependencies

Runtime packages this one declares itself.

0
Total installed

Distinct packages in the full runtime tree, deduplicated the way a package manager would.

15 KB
Install size

Unpacked size of this package plus its entire runtime tree.

—
Tree depth

Longest resolved dependency chain below this package.

Compatibility

Python
python >=3.10

Quick start

A usage example from the aiohappyeyeballs README.

pythonFull README ↗
addr_infos = await loop.getaddrinfo("example.org", 80)

socket = await start_connection(addr_infos)
socket = await start_connection(addr_infos, local_addr_infos=local_addr_infos, happy_eyeballs_delay=0.2)

transport, protocol = await loop.create_connection(
    MyProtocol, sock=socket, ...)

# Remove the first address for each family from addr_info
pop_addr_infos_interleave(addr_info, 1)

# Remove all matching address from addr_info
remove_addr_infos(addr_info, "dead::beef::")
Example truncated — see the full README.

Used by

Popular packages that depend on aiohappyeyeballs.

aiohttpPyPI

Async http client/server framework (asyncio)

↓ 0/wk◈ 0 dependents⚖ Apache-2.0 AND MIT

Relationship graph

Dependencies (left) and dependents (right) of aiohappyeyeballs.

aiohttpaiohappyeyeballs
aiohappyeyeballs dependencies dependents

Frequently installed together

async-timeoutPyPI

Timeout context manager for asyncio programs

↓ 0/wk◈ 2 dependents⚖ Apache 2
aiosignalPyPI

aiosignal: a list of registered asynchronous callbacks

↓ 0/wk◈ 1 dependents⚖ Apache 2.0
attrsPyPI

Classes Without Boilerplate

↓ 0/wk◈ 1 dependents
frozenlistPyPI

A list-like structure which implements collections.abc.MutableSequence

↓ 0/wk◈ 2 dependents⚖ Apache-2.0
multidictPyPI

multidict implementation

↓ 0/wk◈ 2 dependents⚖ Apache License 2.0
propcachePyPI

Accelerated property cache

↓ 0/wk◈ 2 dependents⚖ Apache-2.0
yarlPyPI

Yet another URL library

↓ 0/wk◈ 1 dependents⚖ Apache-2.0

Release history

9 releases in the last two years, typically about 6 days apart.

Recent versions of aiohappyeyeballs
VersionPublishedSizeLicense
2.7.1latest2 months ago15 KBPSF-2.0
2.6.23 months ago15 KBPSF-2.0
2.6.11 year ago15 KBPSF-2.0
2.6.01 year ago15 KBPSF-2.0
2.5.01 year ago15 KBPSF-2.0
2.4.81 year ago15 KBPSF-2.0
2.4.71 year ago14 KBPSF-2.0
2.4.61 year ago14 KBPSF-2.0
2.4.51 year ago14 KBPSF-2.0
2.4.41 year ago14 KBPSF-2.0
2.4.31 year ago14 KBPSF-2.0
2.4.21 year ago14 KBPSF-2.0
2.4.11 year ago12 KBPSF-2.0
2.4.02 years ago12 KBPSF-2.0
2.3.72 years ago12 KBPSF-2.0

Overview

aiohappyeyeballs is an PyPI package that happy Eyeballs for asyncio. It has 1 known dependents in the graph. The latest version is 2.7.1, released under the PSF-2.0 license.

Who should use it

Teams working in the PyPI ecosystem who need happy Eyeballs for asyncio and value a focused solution.

When not to use it

Consider an alternative if you need to or if a more actively-maintained option better fits your PyPI stack.

Pros

  • Clear open-source license (PSF-2.0).
  • Zero runtime dependencies — minimal footprint.

Cons

  • No significant drawbacks detected from available metadata.

Auto-generated from collected registry metadata. No external claims are inferred.

Maintainers

J. Nick Koston

Frequently asked questions

Should I use aiohappyeyeballs?

Yes — aiohappyeyeballs scores well across adoption, maintenance, weight, supply chain, and licensing. No download data reported for this package yet. Last published 70 days ago. 13 releases in the last 2 years.

How do I install aiohappyeyeballs?

Run `pip install aiohappyeyeballs` to add aiohappyeyeballs to your PyPI project.

What license is aiohappyeyeballs released under?

aiohappyeyeballs is distributed under the PSF-2.0 license.

How popular is aiohappyeyeballs?

PyPI does not publish download counts. Within PackageGraph's crawl, 1 known packages depend on aiohappyeyeballs.

Is aiohappyeyeballs still maintained?

The most recent release of aiohappyeyeballs (v2.7.1) was published 2 months ago.