SaaSHub helps you find the best software and product alternatives Learn more →
Top 3 Python ml-ops Projects
-
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: Prefect: A workflow orchestration tool for data pipelines | news.ycombinator.com | 2024-03-13
There has been a considerable effort in the last few years to try and standardise the way in which these type of APIs are implemented via different frameworks. However, over the last few years, a new type of functionality has become more and more popular: machine learning (ML) models; and the existing frameworks for building APIs are not well suited for this type of functionality. In this series of posts, we will learn how to build APIs using a Framework for the development of Lightweight Applications and Machine-learning Automation, also known as Flama.
Python ml-ops related posts
-
Show HN: Python Monitoring for LLMs, OpenAI, Inference, GPUs
-
Show HN: Python Monitoring for AI: LLMs, OpenAI, Inference, GPUs
-
Show HN: Python Monitoring for AI: LLMs, OpenAI, Inference, GPUs
-
[N] Monitor OpenAI API Latency, Tokens, Rate Limits, and More with Graphsignal
-
Monitor OpenAI API Latency, Tokens, Rate Limits, and More
-
What is “production” Machine Learning?
-
Sematic – an open-source ML pipelining tool built by ex-Cruise engineers
-
A note from our sponsor - SaaSHub
www.saashub.com | 10 May 2024
Index
What are some of the best open-source ml-ops projects in Python? This list will help you:
Project | Stars | |
---|---|---|
1 | Prefect | 14,724 |
2 | sematic | 946 |
3 | flama | 255 |
Sponsored