spark VS patterns-devkit

Compare spark vs patterns-devkit and see what are their differences.

spark

Performance Observability for Apache Spark (by dataflint)
apache-spark Big Data Observability Optimization data-pipeline data-pipelines Databricks dataproc Emr ETL spark-operator
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patterns-devkit

Data pipelines from re-usable components (by patterns-app)
Data Science Data Analysis Pipelines ETL etl-pipeline etl-framework Functional Reactive Programming data-engineering SQL Immutability data-pipeline data-pipelines etl-pipelines
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SurveyJS - Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App
With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.
surveyjs.io
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InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
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spark patterns-devkit
1 5
125 106
7.2% 0.0%
9.5 2.9
13 days ago about 1 year ago
TypeScript Python
Apache License 2.0 BSD 3-clause "New" or "Revised" 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.

spark

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

patterns-devkit

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

What are some alternatives?

When comparing spark and patterns-devkit you can also consider the following projects:

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

Dataplane - Dataplane is a data platform that makes it easy to construct a data mesh with automated data pipelines and workflows.

pipebird - Pipebird is open source infrastructure for securely sharing data with customers.

SmartPipeline - A framework for rapid development of robust data pipelines following a simple design pattern

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

AWS Data Wrangler - pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).

flowrunner - Flowrunner is a lightweight package to organize and represent Data Engineering/Science workflows

prism - Prism is the easiest way to develop, orchestrate, and execute data pipelines in Python.

versatile-data-kit - One framework to develop, deploy and operate data workflows with Python and SQL.

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.

hamilton - A scalable general purpose micro-framework for defining dataflows. THIS REPOSITORY HAS BEEN MOVED TO www.github.com/dagworks-inc/hamilton

patterns-devkit vs pyspark-example-project patterns-devkit vs Dataplane patterns-devkit vs pipebird patterns-devkit vs SmartPipeline patterns-devkit vs hamilton patterns-devkit vs AWS Data Wrangler patterns-devkit vs flowrunner patterns-devkit vs prism patterns-devkit vs versatile-data-kit patterns-devkit vs workshop-realtime-data-pipelines patterns-devkit vs hamilton