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cosmos-xenna

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library0.4.3pypypiunverified

A framework for building and running distributed, AI-powered data pipelines using Ray. As of version 0.4.0, it supports Python >=3.12. Early stage library with active development.

pip install cosmos-xenna
INSTALL
IMPORT
SIG · COSMOS-XENNA
C
cosmos-xenna
datapythonv0.4.3
Install
20.2s avg
Import
Disk
385MB
Pass rate
5/ 10
Env Coverage5 / 10
glibc
3.93.13
musl
3.93.13
Install & Compatibility
Where this runs
tested against v0.3.0 · 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 3.103.95 runs
build_error
glibc
py 3.103.95 runs
installs and imports cleanly · install 20.2s · import 0.000s · 380MB
385MB installed
● package 385MB
Code
Verified usage

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

Pipeline
from cosmos_xenna import Pipeline
from cosmos_xenna import Pipeline

Creates a simple pipeline, adds a step, and runs it with input data.

from cosmos_xenna import Pipeline pipeline = Pipeline("example") pipeline.add_step(lambda x: x * 2) result = pipeline.run([1, 2, 3]) print(result)
Debug
Known issues
gotchaThe package name uses a hyphen 'cosmos-xenna', but the import path uses an underscore 'cosmos_xenna'. Trying 'import cosmos' or 'import cosmos_xenna' incorrectly will fail.
fix
Use 'from cosmos_xenna import ...'
affects: >=0.0.0
breakingPython 3.11 and below are not supported (requires >=3.12). Installing on older Python will fail or cause runtime errors.
fix
Upgrade to Python 3.12 or later.
affects: >=0.4.0
Upgrade
Version history
0.4.3latest on PyPI · released May 29, 2026
Audit
Dependencies
rayrequiredcore dependency for distributed execution
Agent activity
26 hits · last 30 days
node
22
OpenAI (training)
1
Resources
cosmos-xenna — pip install cosmos-xenna · libregistry