1.tobymao / sqlglot
Python SQL Parser and Transpiler
+273 stars
from 9,470 · score 5.61
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2.donnemartin / 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.
+166 stars
from 29,220 · score 5.12
3.donnemartin / dev-setup
macOS development environment setup: Easy-to-understand instructions with automated setup scripts for developer tools like Vim, Sublime Text, Bash, iTerm, Python data analysis, Spark, Hadoop MapReduce, AWS, Heroku, JavaScript web development, Android development, common data stores, and dev-based OS X defaults.
+29 stars
from 6,253 · score 3.40
4.GaiZhenbiao / ChuanhuChatGPT
GUI for ChatGPT API and many LLMs. Supports agents, file-based QA, GPT finetuning and query with web search. All with a neat UI.
+23 stars
from 15,230 · score 3.18
5.capitalone / datacompy
Pandas, Polars, Spark, and Snowpark DataFrame comparison for humans and more!
+12 stars
from 652 · score 2.56
6.horovod / horovodArchived
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
+8 stars
from 14,666 · score 2.20
7.yahoo / TensorFlowOnSpark
TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.
+5 stars
from 3,843 · score 1.79
8.databricks / koalas
Koalas: pandas API on Apache Spark
+4 stars
from 3,367 · score 1.61
9.hi-primus / optimus
:truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
+4 stars
from 1,531 · score 1.61
10.jupyter-incubator / sparkmagic
Jupyter magics and kernels for working with remote Spark clusters
+4 stars
from 1,365 · score 1.61