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Top 23 Python Matplotlib Projects
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30-Days-Of-Python
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
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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.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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scientific-visualization-book
An open access book on scientific visualization using python and matplotlib
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.
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LovelyPlots
Matplotlib style sheets to nicely format figures for scientific papers, thesis and presentations while keeping them fully editable in Adobe Illustrator.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
🎇 Repository Link: 30 Days of Python
Project mention: How and where is matplotlib package making use of PySide? | /r/learnpython | 2023-12-07
If you are doing data analysis I don't think any of the 3 pieces of software you mentioned are going to be that helpful.
I see these products as tools for data visualization and reporting i.e. presenting prepared datasets to users in a visually appealing way. They aren't as well suited for serious analytics.
I can't comment on Superset or Tableau but I am familiar with Power BI (it has been rolled out across my org), the type of statistics you can do with it are fairly rudimentary. If you need to do any thing beyond summarizing (counts, averages, min, max etc). It is not particularly easy.
For data analysis I use SAS or R. This software allows you do things like multivariate regression, timeseries forecasting, PCA, Cluster analysis etc. There is also plotting capability.
Both these products are kind of old school, I've been using them since early 2000's, the "new school" seems to be Python. Pretty much all the recent data science people in my organization use Python. Particularly Pandas and libraries like Seaborn (https://seaborn.pydata.org/).
The "power" users of Power BI in my organization tend to be finance/HR people for use cases like drill down into cost figures or Interactively presenting KPI's and other headline figures to management things like that.
Project mention: Scientific Visualization: Python and Matplotlib | news.ycombinator.com | 2024-02-13
Project mention: Show HN: Use an "eraser" to clean data on flight without breaking your workflow | news.ycombinator.com | 2024-03-15
Matplotlib - A Python 2D plotting library.
panel – data exploration & web app framework for Python
You can also generate .tex files from your figures in Python, R or Matlab using librairies like tikzplotlib, tikzDevice and matlab2tikz respectively.
Cartopy
Python Matplotlib related posts
- Seaborn bug responsible for finding of declining disruptiveness in science
- Why Pandas feels clunky when coming from R
- OSCAR 2022 sea surface velocity streamplot animation
- Scientific Visualization: Python and Matplotlib
- Mastering Matplotlib: A Step-by-Step Tutorial for Beginners
- How and where is matplotlib package making use of PySide?
- Webflow Crypto Market Data Ticker
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A note from our sponsor - WorkOS
workos.com | 19 Apr 2024
Index
What are some of the best open-source Matplotlib projects in Python? This list will help you:
Project | Stars | |
---|---|---|
1 | 30-Days-Of-Python | 31,031 |
2 | data-science-ipython-notebooks | 26,438 |
3 | matplotlib | 19,223 |
4 | seaborn | 11,910 |
5 | scientific-visualization-book | 10,030 |
6 | pygwalker | 9,660 |
7 | mlcourse.ai | 9,382 |
8 | cheatsheets | 7,235 |
9 | yellowbrick | 4,192 |
10 | panel | 4,160 |
11 | Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials | 3,638 |
12 | mplfinance | 3,335 |
13 | matplotlib-tutorial | 2,846 |
14 | tikzplotlib | 2,301 |
15 | mplcyberpunk | 1,588 |
16 | itermplot | 1,480 |
17 | Cartopy | 1,348 |
18 | celluloid | 1,110 |
19 | samila | 1,062 |
20 | pyheat | 823 |
21 | LovelyPlots | 803 |
22 | matplotx | 758 |
23 | gif | 646 |