koalas VS fastdbfs

Compare koalas vs fastdbfs and see what are their differences.

fastdbfs

fastdbfs - An interactive command line client for Databricks DBFS. (by salva)
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koalas fastdbfs
2 1
3,319 4
0.2% -
4.6 0.0
about 1 month ago almost 3 years ago
Python Python
Apache License 2.0 GNU General Public License v3.0 only
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.

koalas

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

fastdbfs

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

What are some alternatives?

When comparing koalas and fastdbfs you can also consider the following projects:

Dask - Parallel computing with task scheduling

dbx - 🧱 Databricks CLI eXtensions - aka dbx is a CLI tool for development and advanced Databricks workflows management.

datacompy - Pandas and Spark DataFrame comparison for humans and more!

nutter - Testing framework for Databricks notebooks

PandasGUI - A GUI for Pandas DataFrames

Redash - Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.

popmon - Monitor the stability of a Pandas or Spark dataframe ⚙︎

cape-dataframes - Privacy transformations on Spark and Pandas dataframes backed by a simple policy language.

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.