AWS Data Wrangler
s3fs
| AWS Data Wrangler | s3fs | |
|---|---|---|
| 9 | 7 | |
| 3,804 | 814 | |
| 0.7% | 1.4% | |
| 9.4 | 7.8 | |
| 5 days ago | 25 days ago | |
| Python | Python | |
| Apache License 2.0 | BSD 3-clause "New" or "Revised" License |
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AWS Data Wrangler
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Read files from s3 using Pandas/s3fs or AWS Data Wrangler?
I had no problem with awswrangler (https://github.com/aws/aws-sdk-pandas) and it supports reading and writing partitions which was really helpful and a few other optimizations that made it a great tool
- I agree that Arrow Tables are great, but we decided to keep the library focused on the Pandas interface. [wont implement]
- 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
s3fs
- Read files from s3 using Pandas/s3fs or AWS Data Wrangler?
- Gcsfuse: A user-space file system for interacting with Google Cloud Storage
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what's the best python client for AWS automation these days?
- https://github.com/fsspec/s3fs (used by `pandas`, wraps aiobotocore)
- High-level, file-system like interface for S3 with AsyncIO support to replace/extend `boto3`
- Show HN: Query SQLite files stored in S3
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Getting 403 return code from head_object even with s3:ListBucket permission
I'm using Python's s3fs library to check if a particular file exists in s3 with s3fs.S3FileSystem().exists(path), but I'm getting a Forbidden exception. From the stack trace, I can see it fails when calling s3's head_object method. The documentation for head_object method says:
What are some alternatives?
PyAthena - PyAthena is a Python DB API 2.0 (PEP 249) client for Amazon Athena.
goofys - a high-performance, POSIX-ish Amazon S3 file system written in Go
Optimus - :truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
rclone - "rsync for cloud storage" - Google Drive, S3, Dropbox, Backblaze B2, One Drive, Swift, Hubic, Wasabi, Google Cloud Storage, Azure Blob, Azure Files, Yandex Files
ga-extractor - Tool for extracting Google Analytics data suitable for migrating to other platforms/databases
s3www - Serve static files from any S3 compatible object storage services (Let's Encrypt ready)
python-mysql-replication - Pure Python Implementation of MySQL replication protocol build on top of PyMYSQL
aws-sdk-go-v2 - AWS SDK for the Go programming language.
gonum - Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more
django-s3file - A lightweight file upload input for Django and Amazon S3
zef - Toolkit for graph-relational data across space and time
s3-proxy - S3 Reverse Proxy with GET, PUT and DELETE methods and authentication (OpenID Connect and Basic Auth)