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FBPlot
FootyStats
FootyMetrics
SofaScore
FBPlot is a football data visualization and player analysis platform for creating professional, customizable football charts.
Compare players across 80+ performance metrics and visualize the results using radar, pizza, scatter, bar and swarm charts. Metrics can be analyzed as absolute values, per 90, percentiles or contribution to the player's team.
Charts can be customized with colors, typography, backgrounds and other visual settings, then exported as high-resolution PNG images for scouting reports, presentations, media and social content.
FBPlot is built for football analysts, scouts, journalists, content creators and fans. A free plan provides access to the Top 5 European leagues, while Pro unlocks all available leagues and competitions.
VS Code
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FBPlot's answer:
FBPlot is built as a modern web application with a lightweight data architecture optimized for football analytics. Its infrastructure includes SQLite for football data storage and querying, Cloudflare R2 for object storage and CDN delivery, and OVH infrastructure with Coolify for deployment and application management.
FBPlot's answer:
-Independent football analysts -Football scouts and recruitment professionals -Football content creators -Sports journalists and media professionals
FBPlot's answer:
FBPlot combines football player data analysis and professional data visualization in a single tool. Instead of simply displaying statistics, it lets users decide how players should be evaluated โ using per-90 values, absolute values, percentiles, performance relative to the best player, or contribution to their team โ and turn the analysis directly into customizable, publication-ready charts.
FBPlot's answer:
FBPlot is designed specifically for football analysis rather than being a generic visualization or live-score platform. Users can explore player data, choose meaningful comparison cohorts, combine metrics and create radar, pizza, scatter, bar and swarm visualizations without exporting data to another application. It is particularly useful when both the analysis and the final presentation of the data matter.
FBPlot's answer:
FBPlot is primarily designed for football analysts, scouts, recruitment professionals, journalists, content creators and data-driven football fans. It is especially useful for people who need to compare players, investigate performance profiles or communicate football data through clear visualizations.
FBPlot's answer:
FBPlot started as an independent project to make football data analysis easier to explore and communicate. Many football statistics platforms are good at providing data, while general visualization tools are good at creating charts, but using both often requires exporting data and building visualizations manually. FBPlot was created to bring those two workflows together: explore football data, analyze players and create professional visualizations from the same platform.
Based on our record, VS Code seems to be more popular. It has been mentiond 1215 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Visual Studio Code, a code editor created by Microsoft, was first introduced on April 29, 2015, at the Build conference. - Source: dev.to / about 1 month ago
The step up from there is an editor with a built-in agent like Cursor, Google Antigravity, Windsurf, or VS Code with a coding extension. These are code editors with an AI agent living inside them, and the difference is the responsible party for getting things from place to place. Instead of the software creator shuttling code between windows, the AI agent edits the project files directly and runs the GitHub and... - Source: dev.to / about 2 months ago
For IDE-heavy teams, BYOK (bring your own key) can be interesting, no matter whether you live in WebStorm or VS Code. On the JetBrains side, the JetBrains AI plans and Junie BYOK docs allow it, and most VS Code AI extensions offer the same idea: keep the IDE, connect provider keys, pay the provider. - Source: dev.to / 2 months ago
Option 1: Raw editing in IDE. You open the .md file in VS Code or whatever you use. Syntax highlighting shows you the structure. Maybe you toggle a preview pane. This works for quick edits but becomes painful for anything involving tables, diagrams, or complex formatting. - Source: dev.to / 2 months ago
You'll need Python 3.8+ and pip for the quickstart, with venv recommended for isolation. Install the requests library for HTTP calls. VS Code with the Python extension works well as an editor, though PyCharm or Sublime Text work equally well. You'll also need a free Foxit developer account. - Source: dev.to / 3 months ago
Sublime Text - Sublime Text is a sophisticated text editor for code, html and prose - any kind of text file. You'll love the slick user interface and extraordinary features. Fully customizable with macros, and syntax highlighting for most major languages.
FootyStats - World's most in-depth Football Stats / Soccer Stats site. Over/Under, Corners, Match H2H, Tables, Results, HT/FT, Goals, Top Scorers, In-Play & more. We cover 350+ soccer competitions across the globe.
Vim - Highly configurable text editor built to enable efficient text editing
FootyMetrics - Find betting edges in 115+ football leagues. Player trends, team trends, a props finder, fixture scout, referee stats, and live odds. All data-driven.
Node.js - Node.js is a platform built on Chrome's JavaScript runtime for easily building fast, scalable network applications
SofaScore - Football live scores on SofaScore livescore from 600+ soccer leagues. Follow live results, statistics, league tables, fixtures and videos from Champions League.