mars
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
Perform large-scale data analysis using familiar Python libraries like numpy and pandas.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeMars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
mars has 2.7k stars on GitHub. It has been forked 325 times. mars is written mainly in Python. It has been in active development since 2018. mars is available under the Apache-2.0 license. Its main topics are dask, dataframe, joblib, lightgbm.
What is mars?
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
Is mars open source?
mars is an open-source project. It is released under the Apache-2.0 license.
Is mars free?
Yes. mars is free and open source — you can use, modify and self-host it.
What license does mars use?
mars is available under the Apache-2.0 license.
What language is mars written in?
mars is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/mars-project-mars.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.