truss VS pipeless

Compare truss vs pipeless and see what are their differences.

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truss pipeless
3 7
837 104
2.3% -
9.6 10.0
5 days ago 7 months ago
Python Python
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

truss

Posts with mentions or reviews of truss. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-07-29.

pipeless

Posts with mentions or reviews of pipeless. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-24.

What are some alternatives?

When comparing truss and pipeless you can also consider the following projects:

inference - Replace OpenAI GPT with another LLM in your app by changing a single line of code. Xinference gives you the freedom to use any LLM you need. With Xinference, you're empowered to run inference with any open-source language models, speech recognition models, and multimodal models, whether in the cloud, on-premises, or even on your laptop.

Savant - Python Computer Vision & Video Analytics Framework With Batteries Included

BentoML - The most flexible way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Inference Graph/Pipelines, Compound AI systems, Multi-Modal, RAG as a Service, and more!

tennis-tracking - Open-source Monocular Python HawkEye for Tennis

Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

pipeless - An open-source computer vision framework to build and deploy apps in minutes

data-science-ipython-notebooks - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

pipelessassets

inference-benchmark - Benchmark for machine learning model online serving (LLM, embedding, Stable-Diffusion, Whisper)

FLAVR - Code for FLAVR: A fast and efficient frame interpolation technique.

scikit-learn - scikit-learn: machine learning in Python

CV-CUDA - CV-CUDA™ is an open-source, GPU accelerated library for cloud-scale image processing and computer vision.