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listmonk vs Python: What are the differences?

Developers describe listmonk as "Self-hosted newsletter + mailing list manager". It is a standalone, self-hosted, newsletter and mailing list manager. It is fast, feature-rich, and packed into a single binary. It uses a PostgreSQL database as its data store. On the other hand, Python is detailed as "A clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java". Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.

listmonk belongs to "Email Marketing" category of the tech stack, while Python can be primarily classified under "Languages".

listmonk and Python are both open source tools. It seems that Python with 25.9K GitHub stars and 11K forks on GitHub has more adoption than listmonk with 2.68K GitHub stars and 90 GitHub forks.

What is listmonk?

It is a standalone, self-hosted, newsletter and mailing list manager. It is fast, feature-rich, and packed into a single binary. It uses a PostgreSQL database as its data store.

What is Python?

Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.
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        What are some alternatives to listmonk and Python?
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        Decisions about listmonk and Python
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        Conor Myhrvold
        Tech Brand Mgr, Office of CTO at Uber · | 16 upvotes · 735.4K views
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        How Uber developed the open source, end-to-end distributed tracing Jaeger , now a CNCF project:

        Distributed tracing is quickly becoming a must-have component in the tools that organizations use to monitor their complex, microservice-based architectures. At Uber, our open source distributed tracing system Jaeger saw large-scale internal adoption throughout 2016, integrated into hundreds of microservices and now recording thousands of traces every second.

        Here is the story of how we got here, from investigating off-the-shelf solutions like Zipkin, to why we switched from pull to push architecture, and how distributed tracing will continue to evolve:

        https://eng.uber.com/distributed-tracing/

        (GitHub Pages : https://www.jaegertracing.io/, GitHub: https://github.com/jaegertracing/jaeger)

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        We moved our site over to AWS Elastic Beanstalk , not only did response times on the site practically become instant, our cloud bill for the application was cut in half.

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        Following its migration from vanilla instances with autoscaling groups to Kubernetes, Postmates began facing challenges while “migrating workloads that needed to scale up very quickly.”

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        etl @{etlasaservice}|topic:1323|

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        SVN (Subversion)
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        Git
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        JSON
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        Multiple systems means there is a requirement to cart data across them.

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        But ended up with a massive repository of scripts, complex crontab entries and regular failures due to memory issues.

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        Travis CI
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        Interest over time
        Reviews of listmonk and Python
        No reviews found
        How developers use listmonk and Python
        Avatar of Exchange rates API
        Exchange rates API uses PythonPython

        Beautiful is better than ugly.

        Explicit is better than implicit.

        Simple is better than complex.

        Complex is better than complicated.

        Flat is better than nested.

        Sparse is better than dense.

        Readability counts.

        Special cases aren't special enough to break the rules.

        Although practicality beats purity.

        Errors should never pass silently.

        Unless explicitly silenced.

        In the face of ambiguity, refuse the temptation to guess.

        There should be one-- and preferably only one --obvious way to do it.

        Although that way may not be obvious at first unless you're Dutch.

        Now is better than never.

        Although never is often better than right now.

        If the implementation is hard to explain, it's a bad idea.

        If the implementation is easy to explain, it may be a good idea.

        Namespaces are one honking great idea -- let's do more of those!

        Avatar of Web Dreams
        Web Dreams uses PythonPython

        To me, this is by far the best programming language. Why? Because it’s the only language that really got me going after trying to get into programming with Java for a while. Python is powerful, easy to learn, and gets you to unsderstand other languages more once you understand it. Did I state I love the python language? Well, I do..

        Avatar of ttandon
        ttandon uses PythonPython

        Backend server for analysis of image samples from iPhone microscope lens. Chose this because of familiarity. The number one thing that I've learned at hackathons is that work exclusively with what you're 100% comfortable with. I use Python extensively at my day job at Wit.ai, so it was the obvious choice for the bulk of my coding.

        Avatar of papaver
        papaver uses PythonPython

        been a pythoner for around 7 years, maybe longer. quite adept at it, and love using the higher constructs like decorators. was my goto scripting language until i fell in love with clojure. python's also the goto for most vfx studios and great for the machine learning. numpy and pyqt for the win.

        Avatar of Blood Bot
        Blood Bot uses PythonPython

        Large swaths of resources built for python to achieve natural language processing. (We are in the process of deprecating the services written in python and porting them over to Javascript and node)

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