dtale-desktop VS chord

Compare dtale-desktop vs chord and see what are their differences.

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dtale-desktop chord
7 5
156 9
- -
2.6 1.8
about 3 years ago over 1 year ago
Python Python
MIT License MIT License
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.

dtale-desktop

Posts with mentions or reviews of dtale-desktop. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-06.

chord

Posts with mentions or reviews of chord. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-29.

What are some alternatives?

When comparing dtale-desktop and chord you can also consider the following projects:

dtale - Visualizer for pandas data structures

chartify - Python library that makes it easy for data scientists to create charts.

sweetviz - Visualize and compare datasets, target values and associations, with one line of code.

cggen - A chord graph generator.

jupyterlab-autoplot - Magical Plotting in JupyterLab

Mage - 🧙 The modern replacement for Airflow. Mage is an open-source data pipeline tool for transforming and integrating data. https://github.com/mage-ai/mage-ai

Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]

plotly-resampler - Visualize large time series data with plotly.py

hyperglass - hyperglass is the network looking glass that tries to make the internet better.

matplotlib - matplotlib: plotting with Python

Numba - NumPy aware dynamic Python compiler using LLVM

bokeh - Interactive Data Visualization in the browser, from Python