arviz
SaltStack
| arviz | SaltStack | |
|---|---|---|
| 3 | 46 | |
| 1,548 | 13,933 | |
| 1.2% | 0.6% | |
| 7.7 | 10.0 | |
| 5 days ago | 3 days ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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.
arviz
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Matplotlib for sabermetric analysis
pymc3 is the standard Python library for Bayesian statistics, and used ArviZ for plotting, built on top of matplotlib
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What is Probabilistic Programming?
This tutorial explains what is probabilistic programming & provides a review of 5 frameworks (PPLs) using an example taken from Chapter 4 of Statistical Rethinking by Dr. Richard McElreath. Frameworks (PPLs) reviewed are - Stan (https://mc-stan.org/) PyMC3 (https://docs.pymc.io/) Tensorflow Probability (https://www.tensorflow.org/probability) Pyro/NumPyro (https://pyro.ai/) Turing.jl (https://turing.ml/stable/) I also provide the basic review of a great library called arviz (https://arviz-devs.github.io/arviz/), which can be used for all the above-mentioned PPLs to do Exploratory Data Analysis of Bayesian Models. Here is the link to the notebook in which I have implemented the example model using the above Frameworks/PPLs https://colab.research.google.com/drive/1zgR2b0j2waGi1ppnIe1rw7emkbBXtMqF?usp=sharing
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Hacktoberfest: 69 Beginner-Friendly Projects You Can Contribute To
https://github.com/arviz-devs/arviz Exploratory analysis of Bayesian models with Python
SaltStack
- Looking for a way to remote in to K's of raspberry pi's...
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Salt Exporter: the story behind the tool
In the new style, when the tag is longer than 20 characters, an end of tag string is appended to the tag given by the string constant TAGEND, that is, two line feeds '\n\n'. When the tag is less than 20 characters then the tag is padded with pipes "|" out to 20 characters as before. When the tag is exactly 20 characters no padded is done. source: https://github.com/saltstack/salt/blob/master/salt/utils/event.py
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Why would anyone need AD/AAD when you can manage devices through Saltstack?
https://github.com/saltstack/salt https://github.com/chocolatey/choco https://github.com/nextcloud https://github.com/authelia/authelia https://github.com/grafana/grafana
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Is Chocolatey v2.0 now the stable CLI version?
SaltStack
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Probably asked before, but any opinions on Ansible against Salt
One thing that really irks me about Salt, though, is that they are very slow to fix bugs. My Salt states are littered with workarounds for bugs that have been open for multiple years. Even in basic things, like ssh authorized_keys management. Other than bug velocity, though, I've been pretty pleased with Salt.
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NetworkManager with salt
Here are several related GitHub issues: - https://github.com/saltstack/salt/issues/54791 - https://github.com/saltstack/salt/issues/57541 - https://github.com/saltstack/salt/issues/16089
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What's new in Salt 3006 Sulfur LTS
For clarity, here's the issue: https://github.com/saltstack/salt/issues/64111
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Someone needs to fork salt, VMware has all but abandoned it.
Nightly builds on supported branches & master running the full test suite, producing fully tested builds. https://github.com/saltstack/salt/actions/workflows/nightly.yml
- Salt issue on FreeBSD
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What is going on? Someone is speaking to me in my head.
It's definitely some sort of AI script. Not this exactly, but something working off Python or scripts of thar nature. https://github.com/saltstack/salt
What are some alternatives?
matplotlib - matplotlib: plotting with Python
Rundeck - Enable Self-Service Operations: Give specific users access to your existing tools, services, and scripts
Babel (Formerly 6to5) - 🐠 Babel is a compiler for writing next generation JavaScript.
Cloud-Init - unofficial mirror of Ubuntu's cloud-init
seaborn - Statistical data visualization in Python
Ansible - Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to cloud management, in a language that approaches plain English, using SSH, with no agents to install on remote systems. https://docs.ansible.com.
PyMC - Bayesian Modeling and Probabilistic Programming in Python
kubernetes - Production-Grade Container Scheduling and Management
stan - Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.
Nomad - Nomad is an easy-to-use, flexible, and performant workload orchestrator that can deploy a mix of microservice, batch, containerized, and non-containerized applications. Nomad is easy to operate and scale and has native Consul and Vault integrations.
probability - Probabilistic reasoning and statistical analysis in TensorFlow
Docker Compose - Define and run multi-container applications with Docker