open-data
n8n
open-data | n8n | |
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25 | 299 | |
2,225 | 41,209 | |
1.4% | 3.2% | |
0.0 | 10.0 | |
26 days ago | 6 days ago | |
TypeScript | ||
GNU General Public License v3.0 or later | Apache 2.0 with Commons Clause |
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.
open-data
- How to practice data analytics skills
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[OptaJoe]2009 - Arsenal have won a Premier League game they were losing at half-time outside of London for the first time since December 2009 (2-1 at Liverpool). Temperament.
You can check statsbomb open data but you will to preprocess it from json to sql. They have great course and articles about analyzing the data. Another good reading is awasome-football . They provide list of resources to get data. But the most comprehensive and recommended resources eddwebster's guide. He worked for city football group and his repository updated frequently.
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Enzo Fernández Progressive Passes - World Cup 2022
I tried visualising Enzo's progressive passes in each of his world cup matches. I used the data available on StatsBomb for this.
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Football (soccer) player statistics - looking for free databases
https://www.football-data.org/coverage https://datahub.io/collections/football https://github.com/statsbomb/open-data https://www.kaggle.com/datasets/hugomathien/soccer https://www.kaggle.com/datasets/martj42/international-football-results-from-1872-to-2017 https://www.kaggle.com/datasets/secareanualin/football-events https://www.kaggle.com/datasets/adityadesai13/european-football-database-20192020 https://www.kaggle.com/datasets/vivovinco/20212022-football-player-stats https://www.kaggle.com/datasets/antoinekrajnc/soccer-players-statistics
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Ask HN: Who is hiring? (September 2022)
StatsBomb | Multiple roles | REMOTE, or Bath (UK), or Cairo (Egypt)
StatsBomb is a sports analytics startup, covering football (both the soccer and American varieties) and soon basketball. We sell data products as well as analysis tools to sports, media and gambling organisations, with a tech pipeline that includes computer vision, machine learning, stream processing, and web-based dataviz. We count many of the biggest names in football as customers, and your work will have a direct impact on our ability to deliver insights to those customers, driving success on the field.
We're hiring software engineers of various stripes (data pipeline roles with Python and Clojure, full-stack web dev roles with JavaScript) and more besides. We're fully remote, but have offices in Bath, UK and Cairo, Egypt for those that want them. We organise regular team days and also run our own industry-leading conference each year.
- Apply at: https://statsbomb.com/careers
If you'd like to find out more about football analytics:
- Play with our open data: https://github.com/statsbomb/open-data
- Read our articles: https://statsbomb.com/articles/
- Browse our conference videos: https://www.youtube.com/channel/UCmZ2ArreL9muPvH49Gaw0Bw
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[OC] Football Wind ⚽️💨 A wind map visualisation of a typical football game. Each particle is following a force field built from the aggregation of 882,536 passes from 890 matches played in various major leagues/cups.
The data source providing all the passes is from StatBomb
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🏆 TAA vs the u23 world: progressive passes/90 & xA/90
If you're familiar with GitHub and JSON then https://github.com/statsbomb/open-data looks decent.
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Looking for football (soccer) granular datasets
The company StatsBomb, which specializes in football analytics, has made a lot of their data available for public use here: https://github.com/statsbomb/open-data I’ve been playing with it recently and I’ve found it to be pretty great.
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[OC] Lionel Messi's shots and goals with Barcelona during his record-breaking 2011/2012 season, compared to his attempts in the 2014 and 2018 World Cups with Argentina
Messi has routinely been one of the best performers in European soccer, including his record-breaking 2011-2012 season in the Spanish league (“La Liga”) with Barcelona, where he set the record for most goals in a season. Unfortunately, success with the Argentina national team has frequently eluded him, finishing as a “runner-up” in the World Cup once and in the Copa America 3 times, before finally winning the Copa America in 2021. Critics often point to his difficulties with his national team as a fatal flaw. I was interested in how his scoring opportunities during arguably his best performance at Barcelona compared to his chances made with Argentina. The data suggests that he is regularly shooting from further away from goal when playing with Argentina when compared to his best performance with Barcelona, which could be a result of a number of factors (different team tactics, difficulty getting up the field, increasing age, less familiarity with teammates, etc.). Data: 2011/2012 La Liga season and World Cup 2018 data were collected from the very nice, public datasets provided by StatsBomb at https://github.com/statsbomb/open-data. The World Cup 2014 data was a bit more difficult to find, but was scraped from the Huffington Post . The StatsBomb data has a ton of great stats to dig into, but because the Huffington Post data had less detail, I wasn't able to go into all of it with just this plot.
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xG stats for individual shots.
I think Statsbomb has a free API you can use on Github if you request access. https://github.com/statsbomb/open-data
n8n
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Ask HN: Is there a visual data mapper for JSON transformation?
I believe you can achieve that with n8n. Used in past (and still running) for some data transformation and little more. Possibly similar case what are you describing.
https://n8n.io/
- Dify, a visual workflow to build/test LLM applications
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Helm 101: Creating Helm Charts
A startup, "DevOps Solutions" adopts Helm to streamline their Kubernetes deployments. You're a consultant tasked with creating a basic Helm Chart for n8n. It should be customizable for different environments using values.
- IFTTT is killing its pay-what-you-want Legacy Pro plan
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A Year of Self-Hosting: 6 Open-Source Projects That Surprised Me in 2023
n8n.io - a powerful workflow automation tool
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Open Source alternatives to tools you Pay for
N8N - Open Source Alternative to Zapier
- Ask YC: tracking events platform and no-code workflow
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Your privacy is optional
N8N - anything that I would have used Zapier or IFTTT for I now use N8N. It is a bit harder to use but more powerful.
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To whoever uses Supabase as their backend: what's your full no-code / low-code stack?
I'm using Weweb as my front end and Supabase as my back end. I'm also looking into n8n.io to run some of the backend logic that I'm either unsure how to code myself within Supabase or unsure if Supabase can perform those back-end tasks and workflows. Curious what stack or tools other Supabase users are using?
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Show HN: Keep – GitHub Actions for your monitoring tools
This is similar to something I saw before: https://n8n.io
What are some alternatives?
opendata - SkillCorner Open Data with 9 matches of broadcast tracking data.
Node RED - Low-code programming for event-driven applications
geometry-api-java - The Esri Geometry API for Java enables developers to write custom applications for analysis of spatial data. This API is used in the Esri GIS Tools for Hadoop and other 3rd-party data processing solutions.
Huginn - Create agents that monitor and act on your behalf. Your agents are standing by!
sample-data - Metrica Sports sample tracking and event data
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
football_analytics - 📊⚽ A collection of football analytics projects, data, and analysis by Edd Webster (@eddwebster), including a curated list of publicly available resources published by the football analytics community.
StackStorm - StackStorm (aka "IFTTT for Ops") is event-driven automation for auto-remediation, incident responses, troubleshooting, deployments, and more for DevOps and SREs. Includes rules engine, workflow, 160 integration packs with 6000+ actions (see https://exchange.stackstorm.org) and ChatOps. Installer at https://docs.stackstorm.com/install/index.html
nba-movement-data - SportVU movement tracking data.
budibase - Budibase is an open-source low code platform that helps you build internal tools in minutes 🚀
geomesa - GeoMesa is a suite of tools for working with big geo-spatial data in a distributed fashion.
Home Assistant - :house_with_garden: Open source home automation that puts local control and privacy first.