dramatiq
nifi
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| dramatiq | nifi | |
|---|---|---|
| 15 | 35 | |
| 4,061 | 4,381 | |
| - | 3.1% | |
| 7.3 | 9.9 | |
| 1 day ago | 4 days ago | |
| Python | Java | |
| GNU Lesser General Public License v3.0 or later | 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.
dramatiq
- Dramatiq: A fast and reliable distributed task processing library for Python
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Inngest raises $3M seed to build the reliable workflow platform for every dev
Using something like Dramatiq [1] with Redis, writing a background job takes minutes, and can be deployed alongside an existing Python web app. There are probably JS equivalents.
I think Inngest could be a useful service, but the comparison felt off for me - it made me feel like this wasn't solving a real problem.
[1] https://dramatiq.io/
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Arq vs Dramatiq vs Taskiq vs Repid
Dramatiq documentation
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Taskiq: async celery alternative
Hello everyone. We want to present you Taskiq: our new project that allows sending tasks using distributed queues. Conceptually it's similar to Celery or Dramatiq but with full asyncio and type hints support. Taskiq can send and execute async functions and has many integrations with different queue implementations.
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Django Styleguide
I spent 3 years building a high scale crawler on top of Celery.
I can't recommend it. We found many bugs in the more advanced features of Celery (like Canvas) we also ran into some really weird issues like tasks getting duplicated for no reason [1].
The most concerning problem is that the project was abandoned. The original creator is not working on it anymore and all issues that we raised were ignored. We had to fork the project and apply our own fixes to it. This was 4 years ago so maybe things improved since them.
Celery is also extremely complex.
I would recommend https://dramatiq.io/ instead.
[1]: https://github.com/celery/celery/issues/4426
- Simple Task Queue system that works with Django 4 / Python 3.9?
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Writing a book about Django, what’s your suggestion for the theme?
I have been using dramatiq lately (celery alternative) and so far I'm happy with it.
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A new simple background job processing framework
this is a more robust solution. https://dramatiq.io/
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What is your favourite task queuing framework?
Dramatiq -> Just another celery?
- 5 background scheduling libraries in Python you must know
nifi
- FLaNK Stack Weekly 19 Feb 2024
- Ask HN: What are some unpopular technologies you wish people knew more about?
- FLaNK Stack Weekly for 13 November 2023
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Ask HN: What low code platforms are worth using?
Apache NIFI (https://nifi.apache.org/).
It uses the concept of Flow-based programming. Also its so underacknolged but this tool is very flexible. I have used as an Event Bus all the 3rd-Party Integrations.
- Apache Nifi: easy to use, powerful, reliable system to process, distribute data
- Tool decision - What architecture would you choose and why?
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Help with choosing techstack for a new DE team
Presently setting up Apache Nifi + Apache MiNiFi for the ETL portion of my work. NiFi was easy enough to figure out; but the docs for MiNiFi have been a pain due to differences between the Java and C++ versions. I then entirely configured it with the Java version so that it was easier to search for answers for the MiNiFi yaml syntax.
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MS SQL Change Data Capture
Found it
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Is there something like airflow but written in Scala/Java?
Apache Camel Apache Nifi Spring Cloud
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Json splitting and Rerouting (new to nifi)
NIFI, like most Apache projects does most of its discussion on its mailing lists, but also has a slack.
What are some alternatives?
celery - Distributed Task Queue (development branch)
Logstash - Logstash - transport and process your logs, events, or other data
huey - a little task queue for python
superset - Apache Superset is a Data Visualization and Data Exploration Platform
Cython - The most widely used Python to C compiler
meltano
Pyston - A faster and highly-compatible implementation of the Python programming language.
meltano - Meltano: the declarative code-first data integration engine that powers your wildest data and ML-powered product ideas. Say goodbye to writing, maintaining, and scaling your own API integrations.
Stackless Python
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
PyPy
Metabase - The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum: