AWS Data Wrangler
Redash
Our great sponsors
AWS Data Wrangler | Redash | |
---|---|---|
9 | 38 | |
3,791 | 24,881 | |
1.1% | 0.9% | |
9.4 | 9.5 | |
6 days ago | 6 days ago | |
Python | Python | |
Apache License 2.0 | BSD 2-clause "Simplified" License |
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.
AWS Data Wrangler
-
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
-
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.
Redash
- FLaNK Stack 26 February 2024
-
A PostgreSQL Docker container that automatically upgrades PostgreSQL
Yeah, a lot of the time I'd agree with you.
This container came about for the Redash project (https://github.com/getredash/redash), which has been stuck on PostgreSQL 9.5 (!) for years.
Moving to a new PostgreSQL container version is easy enough for new installations, but rolling that kind of change out to an existing userbase isn't so pretty.
For people familiar with the command line, PostgreSQL, and Docker then no worries.
But a large number of Redash deployments seem to have been done by people not skilled in those things. "We deployed it from the Digital Ocean droplet / AWS image / etc!"
For those situations, something that takes care of the database upgrade process automatically is the better approach. :)
-
Did anyone try Openblocks for multi-tenant client reporting?
I have tried Metabase, Redash beore (both self hosted open source versions), from my experience I find Metabase a bit easy to work with.
-
Best apps for transitioning from Spreadsheets to SQLite?
Regarding visualization tools, sqliteviz has proven to be the best I've found so far. Their web app runs locally but has some trackers, so I run it locally via a simple, static HTTP server. Falcon and Redash seem like overkill for my needs.
-
Chartbrew – create live reporting dashboards from APIs, MongoDB, Firestore, etc.
Redash seems to be dead or at least in hibernation. There hasn't been a release in over a year.
-
Real Time Data Infra Stack
redash
- Recommend Django Great Projects
-
Framework Laptops are now Thunderbolt 4 certified
In addition to metabase there are redash[0] and apache superset[1]. They are more or less similar to metabase with some different quirks. You can also visualize quite a bit of data in grafana[2] as well.
-
Is Redash dead? The red arrow indicates when Databricks acquired Redash
Source: https://github.com/getredash/redash/graphs/contributors
What are some alternatives?
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]
Metabase - The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum:
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
PyAthena - PyAthena is a Python DB API 2.0 (PEP 249) client for Amazon Athena.
cube.js - 📊 Cube — The Semantic Layer for Building Data Applications
bokeh - Interactive Data Visualization in the browser, from Python
Optimus - :truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
Druid - Apache Druid: a high performance real-time analytics database.
PyQtGraph - Fast data visualization and GUI tools for scientific / engineering applications
matplotlib - matplotlib: plotting with Python
django-sql-explorer - Easily share data across your company via SQL queries. From Grove Collab.
superset - Apache Superset is a Data Visualization and Data Exploration Platform