amazon-sagemaker-local-mode VS mars

Compare amazon-sagemaker-local-mode vs mars and see what are their differences.

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amazon-sagemaker-local-mode mars
1 -
230 2,677
1.3% 0.2%
7.7 5.7
about 1 month ago 4 months ago
Python Python
MIT No Attribution 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.

amazon-sagemaker-local-mode

Posts with mentions or reviews of amazon-sagemaker-local-mode. We have used some of these posts to build our list of alternatives and similar projects.

mars

Posts with mentions or reviews of mars. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning mars yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing amazon-sagemaker-local-mode and mars you can also consider the following projects:

quick-deploy - Optimize, convert and deploy machine learning models as fast inference API using Triton and ORT. Currently support Hugging Face transformers, PyToch, Tensorflow, SKLearn and XGBoost models.

modin - Modin: Scale your Pandas workflows by changing a single line of code

mljar-supervised - Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

eland - Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch

aws-lambda-docker-serverless-inference - Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.

xarray - N-D labeled arrays and datasets in Python

nebuly - The user analytics platform for LLMs

Python-Schema-Matching - A python tool using XGboost and sentence-transformers to perform schema matching task on tables.

pinferencia - Python + Inference - Model Deployment library in Python. Simplest model inference server ever.

scikit-survival - Survival analysis built on top of scikit-learn

alpha-zero-boosted - A "build to learn" Alpha Zero implementation using Gradient Boosted Decision Trees (LightGBM)

dmatrix2np - Convert XGBoost's DMatrix format to np.array