pm4py-core
Public repository for the PM4Py (Process Mining for Python) project. (by pm4py)
bpmn-visualization-R
A R package for visualizing process execution data on BPMN diagrams (by process-analytics)
| pm4py-core | bpmn-visualization-R | |
|---|---|---|
| 2 | 8 | |
| 653 | 15 | |
| 3.7% | - | |
| 9.8 | 7.7 | |
| 9 days ago | 13 days ago | |
| Python | R | |
| GNU General Public License v3.0 only | Apache License 2.0 |
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.
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.
pm4py-core
Posts with mentions or reviews of pm4py-core.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-02-01.
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Process Analytics - January 2023 News
It's a new year 🎊 and what better way to kick off 2023 than with some Process Analytics news! January brought us exciting developments in the world of bpmn-visualization and pm4py integration 🔗. With our team working hard to connect the dots, we’re making bpmn-visualization more accessible and easier to integrate with the Process Mining ecosystem.
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How to rewrite Python library into C#?
I have to rewrite Python's library PM4PY into C#. In fact, not whole library but only "apply" method from /pm4py/algo/discovery/alpha/algorithm.py (https://github.com/pm4py/pm4py-core/blob/release/pm4py/algo/discovery/alpha/algorithm.py).
bpmn-visualization-R
Posts with mentions or reviews of bpmn-visualization-R.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-02-01.
-
Process Analytics - January 2023 News
Notice that the package has been renamed. Please check out the corresponding release notes to see what changes you need to make in your R project to use the updated package.
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Process Analytics - November 2022 News
In November, we released 2 versions: 0.2.1 and 0.2.2.
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Hacktoberfest 2022: Now, it's an official Process Analytics tradition!
We had our first external contribution on the BPMN Visualization - R Package 🥳
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Process Analytics - October 2022 News
As we said previously, the Process Analytics team participated in Hacktoberfest 2022. We opened dedicated issues of all flavors on our various repositories: bpmn-visualization Typescript library, its related examples repository, the project website and the bpmn-visualization R package.
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Hacktoberfest 2021: Process Analytics makes its mark
We offered the community the opportunity to work on our cornerstone bpmn-visualization Typescript library, its related examples repository, the project website and the recently released R package.
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Using BPMN Visualization in R
The new BPMN Visualization - R Package is being developed to offer another way to visualize process execution data in R.
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Hacktoberfest 2021 with Process Analytics
R users 📈 will be interested in bpmn-visualization-R, the R package for visualizing process execution data on BPMN diagrams, using overlays, style customization and interactions.
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Process Analytics - August 2021 Newsletter
The Process Analytics team has also started a useful new project/library for the R ecosystem: BPMN Visualization - R Package.
What are some alternatives?
When comparing pm4py-core and bpmn-visualization-R you can also consider the following projects:
ML-From-Scratch - Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
process-analytics.dev - The source of the process-analytics.dev website
nfstream - NFStream: a Flexible Network Data Analysis Framework.
bpmn-visualization-js - A TypeScript library for visualizing process execution data on BPMN diagrams
bpmn-visualization-pm4py - Example of integration between bpmn-visualization and pm4py
ggstatsplot - Enhancing {ggplot2} plots with statistical analysis 📊📣
gensim - Topic Modelling for Humans