Top 5 Python cost-optimization Projects
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skypilot
SkyPilot: Run LLMs, AI, and Batch jobs on any cloud. Get maximum savings, highest GPU availability, and managed execution—all with a simple interface.
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optscale
FinOps and MLOps platform to run ML/AI and regular cloud workloads with optimal performance and cost.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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aws-auto-cleanup
Programmatically delete AWS resources based on an allowlist and time to live (TTL) settings
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ec2-spot-converter
A tool to convert AWS EC2 instances back and forth between On-Demand and Spot billing models.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
Project mention: Ask HN: Most efficient way to fine-tune an LLM in 2024? | news.ycombinator.com | 2024-04-04
Project mention: Profile and instrument ML experiments and optimize their performance expenses | news.ycombinator.com | 2023-09-27
Python cost-optimization related posts
Index
What are some of the best open-source cost-optimization projects in Python? This list will help you:
Project | Stars | |
---|---|---|
1 | skypilot | 5,602 |
2 | optscale | 969 |
3 | aws-auto-cleanup | 490 |
4 | koku | 252 |
5 | ec2-spot-converter | 177 |
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