- AWS Data Wrangler VS PyAthena
- AWS Data Wrangler VS Optimus
- AWS Data Wrangler VS python-mysql-replication
- AWS Data Wrangler VS gonum
- AWS Data Wrangler VS Trapheus
- AWS Data Wrangler VS Redash
- AWS Data Wrangler VS ga-extractor
- AWS Data Wrangler VS getting-started
- AWS Data Wrangler VS aws-simple-websocket
- AWS Data Wrangler VS gophernotes
AWS Data Wrangler Alternatives
Similar projects and alternatives to AWS Data Wrangler
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PyAthena
PyAthena is a Python DB API 2.0 (PEP 249) client for Amazon Athena.
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Optimus
:truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark (by ironmussa)
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Scout APM
Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.
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gonum
Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more
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python-mysql-replication
Pure Python Implementation of MySQL replication protocol build on top of PyMYSQL
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Trapheus
This tool automates restoration of RDS database instances from snapshots into any dev, staging or production environments. It supports individual RDS Snapshot as well as cluster snapshot restore operations.
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Redash
Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
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ga-extractor
Tool for extracting Google Analytics data suitable for migrating to other platforms/databases
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SonarLint
Deliver Cleaner and Safer Code - Right in Your IDE of Choice!. SonarLint is a free and open source IDE extension that identifies and catches bugs and vulnerabilities as you code, directly in the IDE. Install from your favorite IDE marketplace today.
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getting-started
This repository is a getting started guide to Singer. (by singer-io)
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aws-simple-websocket
Using AWS's API Gateway + Lambda to run a simple websocket application. For learning/testing.
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prose
:book: A Golang library for text processing, including tokenization, part-of-speech tagging, and named-entity extraction.
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pandas
Flexible and powerful data analysis / manipulation library for Go+, providing labeled data structures similar to R data.frame objects, statistical functions, and much more (by goplus)
AWS Data Wrangler reviews and mentions
- Automate some wrangling and data visualization in Python
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Redshift API vs. other ways to connect?
awslabs has developed their own package for this and given it's for their product, seem likely to maintain it. https://github.com/awslabs/aws-data-wrangler
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Parquet files
AWS data wrangler works well. it's a wrapper on pandas: https://github.com/awslabs/aws-data-wrangler
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Reading s3 file data with Python lambda function
you'll find pre-made zips here: https://github.com/awslabs/aws-data-wrangler/releases
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A guide to load (almost) anything into a DataFrame
Don't forget about https://aws-data-wrangler.readthedocs.io/
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Go+: Go designed for data science
Yep, agreed. Go is a great language for AWS Lambda type workflows.
Python isn't as great (Python Lambda Layers built on Macs don't always work). AWS Data Wrangler (https://github.com/awslabs/aws-data-wrangler) provides pre-built layers, which is a work around, but something that's as portable as Go would be the best solution.
- Best way to install pandas and bumpy to AWS Lanbda
Stats
awslabs/aws-data-wrangler is an open source project licensed under Apache License 2.0 which is an OSI approved license.
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