kuwala
toiletmap
Our great sponsors
kuwala | toiletmap | |
---|---|---|
33 | 25 | |
755 | 41 | |
0.0% | - | |
0.0 | 7.5 | |
over 1 year ago | 5 days ago | |
JavaScript | TypeScript | |
Apache License 2.0 | MIT 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.
kuwala
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Show HN: GeoSage – A ETL Webtool for Geo and Demographics Data from the Open Web
--> Google Trends Data for Regions (Coming Soon)
The tool goes beyond our previously published CLI tool (https://github.com/kuwala-io/kuwala/tree/master/kuwala) by providing a hostable solution with a user-friendly interface. We have not open-sourced it yet but a demo is available here: https://geosage.kuwala.io/.
Urban planners can utilize movement data to analyze foot traffic in different city zones. Marketers can leverage demographic data to tailor campaigns more effectively. Developers can build their apps on top of it.
To round it up .... GeoSage brings...
Unified Data Management: Access data from OSM, Facebook, and soon Google, all in one place.
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Show HN: Free Datasets for Spatial Engineers and Location Analysts
--> https://github.com/kuwala-io/kuwala/blob/master/kuwala/pipelines/osm-poi/README.md
Googe Popular Times: Movement data can be also found on Google. When you search a location it is often shown how frequently a place was visited on an hourly-daily basis (on an index of 0-100). With this libary you can access all the Popular Times data for location and entire cities
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What are the 5 hottest dbt Repositories one should star on GitHub 2022?
What are the 5 hottest dbt Repositories one should star on Github 2022?
dbt is a software framework that sits in the middle of the ELT process. It represents the transformative layer after loading data from an original source. Dbt combines SQL with software engineering principles.
Here are my top5!
- Lightdash (https://github.com/lightdash/lightdash): Lightdash converts dbt models and makes it possible to define and easily visualize additional metrics via a visual interface.
- ⏎ re_data (https://github.com/re-data/re-data): Re-Data is an abstraction layer that helps users monitor dbt projects and their underlying data. For example, you get alerts when a test failed or a data anomaly occurs in a dbt project.
- evidence (https://github.com/evidence-dev/evidence): Evidence is another tool for lightweight BI reporting. With Evidence, you can build simple reports in "medium style" using SQL queries and Markdown.
- Kuwala (https://github.com/kuwala-io/kuwala): With Kuwala, a BI analyst can intuitively build advanced data workflows using a drag-drop interface on top of the modern data stack without coding. Behind the Scenes, the dbt models are generated so that a more experienced engineer can customize the pipelines at any time.
- fal ai (https://github.com/fal-ai/fal): Fal helps to run Python scripts directly from the dbt project. For example, you can load dbt models directly into the Python context which helps to apply Data Science libraries like SKlearn and Prophet in the dbt models.
- Show HN: Open-Source Data Workspace Powered by Dbt and Airbyte
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What are the hottest dbt Repositories you should star on Github 2022? - Here are mine.
Kuwala ( https://github.com/kuwala-io/kuwala ) Kuwala is a data workspace that consolidates the Modern Data Stack and makes it usable for BI analysts and Engineers. Even though dbt is originally targeted at BI Analysts, dbt is mainly used by Engineers. This shifts a large amount of pipeline engineering effort to the IT department. With Kuwala, a BI analyst can intuitively build advanced data workflows using a drag-drop interface on top of the modern data stack without coding. Consequently, the BI Analyst can work more iteratively and maintain the complete workflow from source to metrics in a dashboard. Under the hood and Behind the Scenes, the dbt models are generated so that a more experienced engineer can customize the pipelines at any time. In addition, engineers can easily convert dbt models into reusable “drag and drop” components.
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What are your hottest dbt repositories in 2022 so far? Here are mine!
- 🧱 Kuwala: With Kuwala, a BI analyst can intuitively build advanced data workflows using a drag-drop interface on top of the modern data stack without coding. Behind the Scenes, the dbt models are generated so that a more experienced engineer can customize the pipelines at any time.
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Is Geoboundaries still a thing for GIS experts?
I have then built with a friend this here: https://github.com/kuwala-io/kuwala/tree/master/kuwala/pipelines/admin-boundaries . So the script is extracting the boundaries from OSM and cleans it (forms the hierachy and connect shapes). However, it did not lift up and I had not the feeling this was in the end an interesting feature for the community. It would be wonderful to hear your feedback and maybe find someone to pick it up :-)
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My open-source project: there shall be no difference between BI, Data Analysts and Data Engineer
Hi, we have a nice slack channel, here: https://kuwala-community.slack.com/ssb/redirect and my repo on Github is here available: https://github.com/kuwala-io/kuwala
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I don't get the many shady location data providers if there is Google Popular Times and Open Street Map that you can access with ease and drive similar conclusions.
**Global Admin Boundaries:** A huge problem that often people feel when working with location data is aggregating the data into different geo-based slices (country level, admin level, or even smaller into sub-districts). Here is a repo that cleaned the data out of Open Street Map for geo boundaries worldwide from very broad to a very small granularity --> https://github.com/kuwala-io/kuwala/blob/master/kuwala/pipelines/admin-boundaries/README.md
If it is about location data you should know OpenStreetMap. It's the biggest Database with meta info on location. It's not perfect but big companies like Mapbox, Apple, and Microsoft rely on it. Since the API is kind of messy, you can load with this repository whole cities information smoothly into a PostGres --> https://github.com/kuwala-io/kuwala/blob/master/kuwala/pipelines/osm-poi/README.md
toiletmap
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Why are there so few public toilets in The South?
This is simply untrue. Check this UK toilet map. Unsurprisingly, the large centres of population are best served, and many of these are in the south-east. Wales is the worst served.
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Why don’t we have a Loo list or Toilet mapper on this sub?
Toilet Map
- Burying poo ok?
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Big town centre, 3 stations, dozens of shops, hundreds of people; No bloody toilets.
Separate UK targeted map here.
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Living in a flat. Wanting to go to the local park to get a tan, but there's no nearby public loos. So tanning time is limited to as long as you can hold in a piss minus the 15 min walk each way.
Toilets are one of the things mapped by the /r/OpenStreetMap people (myself included). Global project with a toilet specific view here. There is also the UK targeted https://www.toiletmap.org.uk/ others have linked above.
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Does anyone else find it incredibly frustrating that the Tube network contains 0 publicly accessible toilets?
And quite a few public toilets near stations, on the toilet map, just to add some resources.
- Anxiety about traveling with a small bladder, any tips?
- Pissbottles
- “Anyone got a quid for the defibrillator?” Me, gouache and pen on paper, 2023
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What do TFL expect us to do when there are no toilets on the platform at most of their underground stations?
Would recommend the app Toilets4London or the Great British Toilet Map. Easy to contribute to as well.
What are some alternatives?
uawardata - The data behind uawardata.com
open-data - Free football data from StatsBomb
mara-pipelines - A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow
fma - FMA: A Dataset For Music Analysis
CKAN - CKAN is an open-source DMS (data management system) for powering data hubs and data portals. CKAN makes it easy to publish, share and use data. It powers catalog.data.gov, open.canada.ca/data, data.humdata.org among many other sites.
open-data-monitor - A newsfeed of open government datasets, tracking when they're added or deleted. Built with data from Splitgraph, deployed to Seafowl on Fly.io
lightdash - Self-serve BI to 10x your data team ⚡️
re_data - re_data - fix data issues before your users & CEO would discover them 😊
common-voice - Common Voice is part of Mozilla's initiative to help teach machines how real people speak.
dbt-fal - do more with dbt. dbt-fal helps you run Python alongside dbt, so you can send Slack alerts, detect anomalies and build machine learning models.
evidence - Business intelligence as code: build fast, interactive data visualizations in pure SQL and markdown