pyDag VS distance-metrics

Compare pyDag vs distance-metrics and see what are their differences.

pyDag

Scheduling Big Data Workloads and Data Pipelines in the Cloud with pyDag (by Wittline)
Big Data Bigquery Cloud Dag data-engineering data-pipeline dataengineering dataproc dataproc-cluster directed-acyclic-graph google-cloud google-cloud-platform parallel-processing task-scheduler task-scheduling Workflow engine
Source Code
wittline.github.io
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distance-metrics

Distance metrics are one of the most important parts of some machine learning algorithms, supervised and unsupervised learning, it will help us to calculate and measure similarities between numerical values expressed as data points (by Wittline)
distance-metrics Machine Learning Python similarity-measures
Source Code
wittline.github.io
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pyDag distance-metrics
2 1
24 4
- -
0.0 3.6
over 1 year ago almost 2 years ago
Python Jupyter Notebook
Apache License 2.0 Apache License 2.0
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.

pyDag

Posts with mentions or reviews of pyDag. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-15.

distance-metrics

Posts with mentions or reviews of distance-metrics. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-15.

What are some alternatives?

When comparing pyDag and distance-metrics you can also consider the following projects:

docker-livy - Dockerizing and Consuming an Apache Livy environment

recommendation-system - Build a Content-Based Movie Recommender System (TF-IDF, BM25, BERT)

livyc - Apache Spark as a Service with Apache Livy Client

pubsub2inbox - Pubsub2Inbox is a versatile, multi-purpose tool to handle Pub/Sub messages and turn them into email, API calls, GCS objects, files or almost anything.

data-engineer-challenge - Challenge Data Engineer

p_tqdm - Parallel processing with progress bars

data-engineering-challenge-th - Dockerizing a Python Script for Web Scraping and consume the scraped data using FastApi (www.metroscubicos.com)

breaking_cycles_in_noisy_hierarchies - breaking cycles in noisy hierarchies

Dropout-Students-Prediction - The goal of this project is to identify students at risk of dropping out the school

wbz - A parallel implementation of the bzip2 data compressor in python, this data compression pipeline is using algorithms like Burrows–Wheeler transform (BWT) and Move to front (MTF) to improve the Huffman compression. For now, this tool only will be focused on compressing .csv files, and other files on tabular format.

pyDag vs docker-livy distance-metrics vs recommendation-system pyDag vs livyc distance-metrics vs docker-livy pyDag vs pubsub2inbox distance-metrics vs data-engineer-challenge pyDag vs p_tqdm distance-metrics vs data-engineering-challenge-th pyDag vs breaking_cycles_in_noisy_hierarchies distance-metrics vs Dropout-Students-Prediction pyDag vs wbz pyDag vs data-engineering-challenge-th