faust
hop
faust | hop | |
---|---|---|
11 | 13 | |
1,454 | 858 | |
2.1% | 2.1% | |
7.9 | 9.2 | |
about 1 month ago | 5 days ago | |
Python | Java | |
GNU 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.
faust
-
faust VS quix-streams - a user suggested alternative
2 projects | 7 Dec 2023
-
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.
-
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
-
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-...
-
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.
-
Real Time Data Infra Stack
Faust: Python framework
-
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.
-
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
-
Why did Robinhood abandon Faust?
There is a community which forked and actively develops faust, here’s the https://github.com/faust-streaming/faust
-
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.
hop
-
Loading data
If you're looking for a visual and more intuitive way to load data to Neo4j, you might want to have a look at Apache Hop. Hop comes with tons of functionality to load data to Neo4j.
-
How to automate cypher query?
Apache Hop is a great open source orchestration platform with excellent native Neo4j support.
-
Does anyone use a no-code data transformation tool?
Have you checked out Apache Hop? https://hop.apache.org/ It is a very powerful no-code open source ETL tool.
- Hop – The easiest way to deploy your code
-
Kafka ETL tool, is there any?
Apache Hop https://hop.apache.org/
-
What are the Possible Oracle database to Salesforce Integration solutions
You could look into Apache Hop. Open source with Salesforce connectors. Powerful free option for reverse ETL. https://hop.apache.org/
-
[Q] Knowledge Graph - Populating the GraphDB from scratch.
I would get familiar with an ETL tool. Apache Hop is excellent, opensource, and has native support for neo4j. It will make your imports easier to see the "flow" - also easier to share/collaborate with others. It also gives you support to use several methods (direct from RDBMS, from CSV, or running code like your python example) all from within the same workflows/pipelines, so you can use the best method/tool for a particular part of your process.
-
Replace RDBMS with neo4j
I used Apache HOP as an ETL to integrate the ERP data from RangerMSP into a Neo4j knowledgegraph. Then connected the ERP data to our other vendors data using their web APIs (Office365/sharepoint/teams), backups, infrastructure monitoring/alerting to create other workflows that performed automations and validations of our service delivery. The reporting is so so much easier, faster, and more contextual since relationships are created as the data is built/modified, rather then when queried as in an RDBMS.
-
Apache Hop few questions about starting up
I'm a pentaho pdi user that wants to give a try to Apache Hop. I've started the gui and learned a bit how to import from pdi, create a new workflow/pipeline, made some test. Now I've to move on but reading the docs at https://hop.apache.org/ I can't find informations I need:
-
is there a software to use spark without carry about coding using it's apis
You can try Apache Hop
What are some alternatives?
Memgraph - Open-source graph database, tuned for dynamic analytics environments. Easy to adopt, scale and own.
Apache Log4j 2 - Apache Log4j 2 is a versatile, feature-rich, efficient logging API and backend for Java.
redis-om-python - Object mapping, and more, for Redis and Python
vanus - Vanus is a Serverless, event streaming system with processing capabilities. It easily connects SaaS, Cloud Services, and Databases to help users build next-gen Event-driven Applications.
aioredis - asyncio (PEP 3156) Redis support
Apache Hive - Apache Hive
arq - Fast job queuing and RPC in python with asyncio and redis.
Smooks - Extensible data integration Java framework for building XML and non-XML fragment-based applications
Faust - Python Stream Processing
tarindexer - python module for indexing tar files for fast access
debezium - Change data capture for a variety of databases. Please log issues at https://issues.redhat.com/browse/DBZ.