Proxmox-load-balancer VS Spooq

Compare Proxmox-load-balancer vs Spooq and see what are their differences.

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Proxmox-load-balancer Spooq
1 1
160 8
- -
3.5 7.4
5 months ago about 2 months ago
Python Python
GNU General Public License v3.0 only MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

Proxmox-load-balancer

Posts with mentions or reviews of Proxmox-load-balancer. We have used some of these posts to build our list of alternatives and similar projects.

Spooq

Posts with mentions or reviews of Spooq. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Proxmox-load-balancer and Spooq you can also consider the following projects:

openuds - OpenUDS Is an Open Source Source multiplatform connection broker, created by Spanish Company ​Virtualcable S.L.U. and released under Open Source with the help of several Spanish Universities.

pyspark-example-project - Implementing best practices for PySpark ETL jobs and applications.

dlt - data load tool (dlt) is an open source Python library that makes data loading easy 🛠️

data-retrieval - Data extraction and transformation for the animated graph

revISEE - Compute the averaged daily balance and the end of year balance for your Revolut account.

workshop-realtime-data-pipelines - You will inspect and run a sample architecture making use of Apache Pulsar™ and Pulsar Functions for real-time, event-streaming-based data ingestion, cleaning and processing.

proxmove - Migrate virtual machines between different Proxmox VE clusters with minimal downtime

data-science-ipython-notebooks - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

hamilton - Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.