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Lifecycle Python Packages

Python packages with the GitHub topic lifecycle. Sorted by relevance, with stars and monthly downloads.
polca
premise

Coupling IAM output to ecoinvent LCA database ecoinvent for prospective LCA

7K 174 60
IBM
elmclient

NOTE this is NOT an IBM offering! Python client for IBM Enterprise Lifecycle Management applications with example commandline applications for OSLC Query export to CSV from DOORS Next (DN/DNG), Enterprise Workflow Management (EWM/RTC) and Enterprise Test Management (ETM/RQM), ReqIF import/export, and DOORS Next Reportable REST export to CSV/XML

7K 48 27
polca
unfold

Coupling Integrated Assessment Models output with Life Cycle Assessment.

3K 174 60
apajon
lifecore-ros2

lifecore_ros2 is a modular ROS 2 framework designed to structure robotic applications around lifecycle-aware components. It provides a clean separation between nodes and components, enforces strict lifecycle management, and enables scalable, maintainable architectures for complex robotic systems.

2K 1 0
stefanfreitag
aws-fsx-lifecycle-status-monitor

aws-fsx-lifecycle-status-monitor

2K 0 0
flechtenberg
pulpo-dev

Python package for life cycle optimization

1K 33 7
TimoDiepers
optimex

Time-Explicit Life Cycle Optimization

1K 9 1
schuderer
mllaunchpad

Deploy Machine Learning Solutions with Ease

539 12 5
romainsacchi
rmnd-lca

Coupling REMIND output to ecoinvent LCA database ecoinvent for prospective LCA

318 170 56
caioaao
compynent

Components in Python

276 3 0
pyrustic
viewable

Python library to implement a GUI view with lifecycle

268 0 0
Coregentis
mplp-sdk

The open, vendor-neutral protocol for governing the lifecycle of AI agent systems. Standardizes planning, coordination, execution, confirmation, and traceability across multi-agent runtimes and tools — enabling interoperable, observable, production-grade agent systems.

246 8 1
engineerinvestor
lifecycle-allocation

Python library for lifecycle portfolio allocation inspired by Choi et al. Combines human capital PV, risk aversion, and market assumptions to produce data-driven stock/bond recommendations. Includes glide paths, sensitivity analysis, strategy comparisons, and visual analytics. Educational/research use only.

180 3 0
vltr
sanic-boom

Component injection and caching, faster routing system and non-global middlewares. Give your Sanic application a Boom!

179 8 1
krzysbaranski
kcache

Cache Library in Python

144 3 0
ssbostan
maasta

MAAS Terraform Ansible

76 163 16
    • Data from PyPI, GitHub, ClickHouse, and BigQuery