faust
Redash
faust | Redash | |
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11 | 38 | |
1,454 | 24,994 | |
2.1% | 0.8% | |
7.9 | 9.5 | |
about 1 month ago | 3 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | BSD 2-clause "Simplified" License |
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faust
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faust VS quix-streams - a user suggested alternative
2 projects | 7 Dec 2023
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New release of FastKafka supporting Redpanda
We have many similar ideas and paradigms, as one would expect from modern frameworks tackling the same problem. However, Faust has been deprecated and no longer managed or supported (there is a fork being maintained by the community at https://github.com/faust-streaming/faust). I guess Robinhood at some point decided not to spend any more resources on it, an often destiny of such side projects by large corporations. On the other hand, we hope to stay around for a long time and build to a framework and a community that loves it. This initial version was built using many libraries in order to have a working system and to gather feedback from the large community. We plan to replace eventually all, or at least most of dependancies, and replace then with Rust lib with Python bindings.
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Kafka ETL tool, is there any?
Just wanted to add that there is an actively maintained fork called faust-streaming, you can find it here: https://github.com/faust-streaming/faust
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Apache Kafka Beyond the Basics: Windowing
That's the basics yes. You have a pletora of things coming next. One is "Windowing" mentioned in the article, it's well explained and maybe it looks simple, but when you start with it, takes some time to wrap your mind around it.
The other things in kafka world are stateful transformations, which you would normally do using Java's Flink. The closest in python is Faust (the fork) [0]. What are stateful aggregations? something like doing SQL on top of a topic: group_by, count, reduce, and joins. So similar to SQL that you have kSQL [1].
Consumer groups IMO falls under basic usage, if you need to scale, take a look at it, and what are partitions and replicas, with that in mind, you'll be ok.
[0]: https://github.com/faust-streaming/faust
[1]: https://www.confluent.io/blog/ksql-streaming-sql-for-apache-...
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How to join using Faust Streaming (Python implementation of Kafka Streams API)?
The forked one, https://github.com/faust-streaming/faust, has been updated but still doesn’t seem to support joins.
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Real Time Data Infra Stack
Faust: Python framework
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Kafka to HTTP POST requests
I’d like to use Python for this so I came across Faust but I’m not sure if it’s possible to create HTTP requests through Faust or if there are better alternatives.
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Using Kafka with Python... is Confluent the only option?
There is a community fork which was stale for a while but got a new commit a couple days ago, this one might be usable, but is still quite risky (70 open issues etc.): https://github.com/faust-streaming/faust
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Why did Robinhood abandon Faust?
There is a community which forked and actively develops faust, here’s the https://github.com/faust-streaming/faust
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Project with Faust and Django
Hi, thanks for the answer, I'm actually using virtualenv with the requirements of the file associated with the example. However I wanted to tell you that due to covid the project is suspended but only temporarily, but there is an active fork https://github.com/faust-streaming/faust. But the example in the fork doesn't work either.
Redash
- Redash: Connect to data source, easily visualize, dashboard and share your data
- FLaNK Stack 26 February 2024
- Contribuir con proyectos Open Source
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Auto reloading Odoo with Docker
It seems like there may be an issue with Watchdog on Apple Silicon.
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Tool or service for querying and exposing database through API
I am looking for service or tool similiar to Metabase or Redash that allows me to add data source - for example Postgres connection, and create raw SQL queries that can be shared or exposed through API. So instead of keeping raw SQL code somewhere, my other service would call this tool e.g. http://microservice/query=1?param1=xx&page=2 and get the results from the DB. These calls are internal only and part of ETL processes, but of course authentication would be required.
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A PostgreSQL Docker container that automatically upgrades PostgreSQL
Yeah, a lot of the time I'd agree with you.
This container came about for the Redash project (https://github.com/getredash/redash), which has been stuck on PostgreSQL 9.5 (!) for years.
Moving to a new PostgreSQL container version is easy enough for new installations, but rolling that kind of change out to an existing userbase isn't so pretty.
For people familiar with the command line, PostgreSQL, and Docker then no worries.
But a large number of Redash deployments seem to have been done by people not skilled in those things. "We deployed it from the Digital Ocean droplet / AWS image / etc!"
For those situations, something that takes care of the database upgrade process automatically is the better approach. :)
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Did anyone try Openblocks for multi-tenant client reporting?
I have tried Metabase, Redash beore (both self hosted open source versions), from my experience I find Metabase a bit easy to work with.
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Best apps for transitioning from Spreadsheets to SQLite?
Regarding visualization tools, sqliteviz has proven to be the best I've found so far. Their web app runs locally but has some trackers, so I run it locally via a simple, static HTTP server. Falcon and Redash seem like overkill for my needs.
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Chartbrew – create live reporting dashboards from APIs, MongoDB, Firestore, etc.
Redash seems to be dead or at least in hibernation. There hasn't been a release in over a year.
https://github.com/getredash/redash/issues/5891
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Real Time Data Infra Stack
redash
What are some alternatives?
Memgraph - Open-source graph database, tuned for dynamic analytics environments. Easy to adopt, scale and own.
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]
redis-om-python - Object mapping, and more, for Redis and Python
Metabase - The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum:
aioredis - asyncio (PEP 3156) Redis support
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
arq - Fast job queuing and RPC in python with asyncio and redis.
cube.js - 📊 Cube — The Semantic Layer for Building Data Applications
Faust - Python Stream Processing
bokeh - Interactive Data Visualization in the browser, from Python
debezium - Change data capture for a variety of databases. Please log issues at https://issues.redhat.com/browse/DBZ.
Druid - Apache Druid: a high performance real-time analytics database.