pyDag
pubsub2inbox
Our great sponsors
| pyDag | pubsub2inbox | |
|---|---|---|
| 2 | 1 | |
| 24 | 31 | |
| - | - | |
| 0.0 | 8.4 | |
| over 1 year ago | 10 days ago | |
| Python | Python | |
| Apache License 2.0 | 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.
pyDag
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Data Engineering Projects for Beginners
Scheduling Big Data Workloads and Data Pipelines in the Cloud with pyDag
- How to build a DAG based Task Scheduling tool for Multiprocessor systems using python
pubsub2inbox
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What is the best approach to send SCC findings to a specific email?
Also, you might want to check this : https://github.com/GoogleCloudPlatform/pubsub2inbox
What are some alternatives?
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
dataproc-templates - Dataproc templates and pipelines for solving simple in-cloud data tasks
docker-livy - Dockerizing and Consuming an Apache Livy environment
gcp-flowlogs-reader - Command line tool and Python library for working with Google Cloud VPC Flow Logs
livyc - Apache Spark as a Service with Apache Livy Client
dimutex - asyncio Python library for distributed mutex with GCS as a backend
p_tqdm - Parallel processing with progress bars
cloud-nebulous-serverless - This repo is for the codelabs (free, online, self-paced tutorials) showing developers how they can deploy the same app locally *and* to all three fully-managed serverless compute platforms from Google Cloud w/just minor config changes.
breaking_cycles_in_noisy_hierarchies - breaking cycles in noisy hierarchies
iris3 - An upgraded and improved version of the Iris automatic GCP-labeling project
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.
ethereum-etl-airflow - Airflow DAGs for exporting, loading, and parsing the Ethereum blockchain data. How to get any Ethereum smart contract into BigQuery https://towardsdatascience.com/how-to-get-any-ethereum-smart-contract-into-bigquery-in-8-mins-bab5db1fdeee